https://DevOpsCloud.io -- Cloud Monk Losang Jinpa, Ph.D., MCSE/MCT, GitOps DevOps Engineer

Amazon Web Services (AWS) glossary of terms

Return to Acronyms, Glossaries, AWS glossary, Azure glossary, GCP glossary, IBM Cloud glossary, Oracle Cloud glossary, Kubernetes glossary, Cloud Native glossary

Fair Use Sources:

• https://lucidchart.com/blog/cloud-terminology-glossary

• AWS Certified Security Specialty All-in-One Exam Guide (Exam SCS-C01) Glossary
• AWS Certified Security Specialty All-in-One Exam Guide (Exam SCS-C01) Acronyms

Amazon Cloud Platform terminology

Amazon Cloud terminology

AWS terminology

Amazon terminology

Amazon Web Services glossary

Amazon glossary

Amazon cloud glossary

AWS cloud glossary

AWS cloud term

AWS cloud terms

AWS cloud glossary

Amazon cloud glossary

Amazon cloud term

Amazon cloud terms

AWS Terms

AWS Term

AWS Jargon

Amazon jargon

Amazon Cloud jargon

Amazon Web Services terms

Amazon Web Services term

Amazon term

Amazon terms

Amazon Cloud term

Amazon Cloud terms

AWS buzzword

AWS buzzwords

Amazon Web Services buzzword

Amazon Web Services buzzwords

Amazon Cloud buzzword

Amazon Cloud buzzwords

Amazon buzzword

Amazon buzzwords

Give me 10 AWS services: Summarize each service in 2 paragraphs. There should be 2 carriage returns between each service. The response MUST include double brackets amazon_web_services_aws_glossary_of_terms around the words from the word list in the uploaded file and double brackets amazon_web_services_aws_glossary_of_terms around all acronyms, products, services, AWS, technical terms, proper names, companies. MUST provide the URL for the product or documentation. URLs must be RAW, no formatting, no double bracket surrounding it. Always list the date and year of introduction of the product, services, or software. NEVER use ** around a word or acronym, only use double brackets. NEVER use ** around a topic.

Never do this: “===Amazon Elastic Compute Cloud (EC2)===” Instead do this: “===Amazon Elastic Compute Cloud (EC2)===”. Instead of Wikipedia URL, give a GitHub URL if possible. Do it over please with same content.

Give 10 more please. The response MUST include double brackets amazon_web_services_aws_glossary_of_terms around the words from the word list in the uploaded file. Don't repeat yourself.

NOTE: For each Cloud service, what is the equivalent in Azure, GCP, IBM Cloud, Oracle Cloud

Amazon Elastic Compute Cloud (EC2) was introduced in 2006. This AWS service provides resizable compute capacity in the cloud, allowing users to create and manage Virtual Machines (VMs) known as instances. With a variety of Instance Types, users can optimize performance and cost for diverse workloads. Features like Elastic Load Balancing and Auto Scaling enable applications to handle varying traffic demands efficiently.

Amazon EC2 integrates seamlessly with other AWS services, offering a comprehensive ecosystem for application hosting and development. It supports multiple operating systems and provides flexible pricing models, including On-Demand, Reserved, and Spot Instances, catering to different budget and usage scenarios.

https://aws.amazon.com/ec2/

Amazon Simple Storage Service (S3) was launched in 2006. It is a highly scalable object storage service designed to store and retrieve any amount of data from anywhere on the web. Users can organize data into S3 Buckets and utilize features like versioning and lifecycle policies for effective data management.

Amazon S3 supports various use cases, including data backup, archival, big data analytics, and content distribution. Its integration with other AWS services enables efficient workflows and seamless application development. The service's pay-as-you-go pricing model offers flexibility for businesses of all sizes.

https://aws.amazon.com/s3/

AWS Lambda was introduced in 2014, revolutionizing serverless computing. This event-driven compute service allows developers to run code in response to specific triggers without provisioning or managing servers. With AWS Lambda, applications can scale automatically based on demand, and users pay only for the compute time consumed.

The service integrates with numerous AWS offerings, such as Amazon S3, Amazon DynamoDB, and Amazon API Gateway, enabling the development of flexible and powerful workflows. Supporting various programming languages, AWS Lambda simplifies the deployment of microservices and event-driven applications, making it ideal for modern development needs.

https://aws.amazon.com/lambda/

Amazon Relational Database Service (RDS) was launched in 2009. It simplifies the setup, operation, and scaling of relational databases in the cloud. Supporting engines like MySQL, PostgreSQL, MariaDB, and Microsoft SQL Server, Amazon RDS caters to diverse application requirements.

The service automates routine database tasks such as backups, patching, and replication, allowing developers to focus on application logic. Features like Multi-AZ Deployment for high availability and Read Replicas for scalability ensure reliable performance for critical workloads.

https://aws.amazon.com/rds/

Amazon Virtual Private Cloud (VPC) was introduced in 2009. It enables users to create isolated network environments within the AWS ecosystem, providing control over network settings such as IP address ranges, subnets, and route tables.

The service ensures secure communication between resources through features like Network ACLs, security groups, and VPN connectivity. Integration with other AWS services, such as AWS Direct Connect and AWS Transit Gateway, facilitates the creation of robust, hybrid network architectures.

https://aws.amazon.com/vpc/

AWS Identity and Access Management (IAM) was launched in 2011. It provides secure control over access to AWS resources, enabling organizations to define and manage user permissions. With features like fine-grained permissions and multi-factor authentication (MFA), IAM ensures robust security for applications and infrastructure.

The service supports policies for role-based access control (RBAC) and attribute-based access control (ABAC), allowing for flexible and scalable permission management. Integration with other AWS services ensures consistent security practices across the cloud environment.

https://aws.amazon.com/iam/

AWS CloudFormation was introduced in 2011. It provides a declarative way to model and provision AWS and third-party resources in your cloud environment. Using Infrastructure as Code (IaC), developers can define infrastructure templates to automate the setup of resources, ensuring consistent and repeatable deployments.

The service supports a wide range of AWS resources and integrates with other services like AWS CodePipeline for continuous delivery. By managing dependencies and configurations, AWS CloudFormation simplifies infrastructure management and reduces manual errors.

https://aws.amazon.com/cloudformation/

Amazon CloudWatch was launched in 2009. It is a monitoring and observability service for AWS cloud resources and applications. CloudWatch collects and tracks metrics, collects and monitors log files, and sets alarms, providing visibility into resource utilization, application performance, and operational health.

The service enables real-time monitoring and automated actions based on predefined thresholds. Integration with other AWS services allows for comprehensive monitoring across the cloud environment, aiding in proactive issue resolution and performance optimization.

https://aws.amazon.com/cloudwatch/

AWS CloudTrail was introduced in 2013. It provides governance, compliance, and operational and risk auditing for your AWS account. CloudTrail records AWS API calls and delivers log files, enabling users to monitor and track account activity.

The service helps in detecting unusual activity and supports compliance with internal policies and regulatory standards. By providing a history of AWS API calls, CloudTrail facilitates security analysis and troubleshooting.

https://aws.amazon.com/cloudtrail/

Amazon DynamoDB was introduced in 2012. It is a fully managed NoSQL database service designed for fast and predictable performance with seamless scalability. DynamoDB supports key-value and document data models, making it ideal for applications that require low-latency access to large amounts of data. It is serverless, which eliminates the need to manage infrastructure, and scales automatically to adjust for changing workload demands.

The service integrates with other AWS offerings, such as AWS Lambda and Amazon Kinesis, to build dynamic, event-driven applications. Features like Global Tables for multi-region replication and DynamoDB Streams for real-time data tracking provide powerful capabilities for building modern, highly available applications. Its flexible pricing model ensures suitability for various use cases, from development projects to enterprise-scale applications.

https://aws.amazon.com/dynamodb/

Amazon Redshift was launched in 2013 as a fully managed data warehouse service designed for big data analytics. It enables businesses to run complex SQL queries on structured and semi-structured data across petabyte-scale datasets. With columnar storage and data compression, Amazon Redshift delivers high performance for data warehousing workloads.

The service integrates with other AWS offerings, such as Amazon S3 and Amazon EMR (Elastic MapReduce), to support seamless data pipelines and ETL (Extract, Transform, Load) processes. Features like Concurrency Scaling and RA3 instances ensure that workloads are efficiently balanced, while Redshift Spectrum allows querying data directly from S3 without data movement.

https://aws.amazon.com/redshift/

Amazon SageMaker was introduced in 2017. It is a fully managed service for machine learning (ML) that provides tools to build, train, and deploy ML models at scale. With integrated notebooks, algorithms, and model hosting, Amazon SageMaker simplifies the machine learning workflow.

The service supports various frameworks like TensorFlow, PyTorch, and Apache MXNet, enabling flexibility for developers and data scientists. Features like AutoML and SageMaker Neo further enhance productivity by automating model tuning and optimizing performance for edge devices, respectively.

https://aws.amazon.com/sagemaker/

Amazon API Gateway was launched in 2015 to help developers create, publish, maintain, and secure Application Programming Interfaces (APIs). It supports both REST APIs and WebSocket APIs, enabling real-time, two-way communication for modern applications.

The service integrates seamlessly with other AWS products like AWS Lambda for serverless computing and Amazon Cognito for authentication and authorization. With features like throttling, monitoring, and caching, Amazon API Gateway ensures high-performance and scalable API management.

https://aws.amazon.com/api-gateway/

Amazon Athena was introduced in 2016. It is a serverless query service that allows users to analyze data stored in Amazon S3 using SQL. Amazon Athena is optimized for big data analysis and provides an interactive platform for querying structured and semi-structured data.

The service supports integrations with other AWS services, such as AWS Glue, for metadata cataloging and schema management. With its pay-per-query model, Amazon Athena offers cost-efficient and scalable analytics without the need to set up or manage infrastructure.

https://aws.amazon.com/athena/

AWS Glue was launched in 2017 as a serverless data integration service. It helps in preparing, transforming, and loading data for analytics. With support for ETL (Extract, Transform, Load), AWS Glue enables seamless data preparation workflows for data lakes and data warehouses.

The service integrates with Amazon S3, Amazon Redshift, and Amazon Athena, among others, to create end-to-end data pipelines. Features like the AWS Glue Data Catalog and AWS Glue DataBrew provide tools for data discovery and transformation.

https://aws.amazon.com/glue/

Amazon Kinesis was introduced in 2013 as a platform for real-time data streaming. It allows users to ingest, process, and analyze streaming data from various sources. Kinesis Streams and Kinesis Firehose are key components that enable seamless integration into analytics and storage services.

The service is ideal for applications requiring real-time processing, such as log monitoring, clickstream analysis, and IoT data management. With scalable architecture and integrations with services like Amazon S3 and Amazon Redshift, Amazon Kinesis supports diverse use cases in data analytics.

https://aws.amazon.com/kinesis/

Amazon ElastiCache was launched in 2011. It is a fully managed in-memory data store and caching service designed for high-speed data access. Supporting Redis and Memcached, Amazon ElastiCache enables sub-millisecond response times for applications.

The service integrates with other AWS offerings, such as Amazon RDS, for improved database performance and scalability. With features like data replication and auto-scaling, ElastiCache is suitable for use cases like session storage, real-time analytics, and gaming leaderboards.

https://aws.amazon.com/elasticache/

Amazon CloudFront was introduced in 2008. It is a global Content Delivery Network (CDN) that securely delivers data, videos, applications, and APIs to customers with low latency and high transfer speeds. CloudFront integrates with other AWS services, such as Amazon S3 and Elastic Load Balancing, to provide seamless workflows.

With features like edge caching and custom SSL, Amazon CloudFront enhances performance and security. Its integration with AWS Shield and AWS Web Application Firewall (WAF) ensures protection against DDoS and other threats.

https://aws.amazon.com/cloudfront/

Amazon Neptune was introduced in 2018. It is a fully managed graph database service designed for applications that require complex relationships between data. Supporting graph query languages like Gremlin and SPARQL, Neptune is ideal for social networking, recommendation engines, and fraud detection.

The service is highly available and integrates with other AWS offerings, such as AWS Lambda and Amazon S3, to build scalable and efficient applications. Its support for multi-model databases allows developers to work with diverse graph types in a unified platform.

https://aws.amazon.com/neptune/

AWS Batch was introduced in 2016. It is a fully managed service that enables the execution of batch computing jobs at any scale. AWS Batch dynamically provisions resources based on job requirements and supports the scheduling and execution of batch workloads.

The service integrates with Amazon EC2, Amazon ECS, and other AWS offerings to manage compute environments. With support for Docker containers, AWS Batch allows developers to run jobs efficiently and securely without managing underlying infrastructure.

https://aws.amazon.com/batch/

AWS Step Functions was introduced in 2016. It is a serverless orchestration service that enables users to build and run workflows using state machines. Step Functions simplifies the coordination of microservices, serverless applications, and distributed systems, ensuring that processes are consistent and error handling is automated.

The service integrates with other AWS offerings like AWS Lambda, Amazon S3, and Amazon DynamoDB for seamless workflow execution. AWS Step Functions supports both Standard Workflows for long-running processes and Express Workflows for high-throughput, short-duration workflows.

https://aws.amazon.com/step-functions/

Amazon Elastic Kubernetes Service (EKS) was launched in 2018. It is a managed Kubernetes service that simplifies the deployment and scaling of containerized applications. EKS ensures high availability by managing the control plane for Kubernetes clusters.

The service integrates with AWS Fargate for serverless container operations and supports IAM for secure access management. Amazon EKS also integrates seamlessly with other AWS services like Amazon CloudWatch for monitoring and logging, making it ideal for modern containerized workloads.

https://aws.amazon.com/eks/

Amazon Elastic Block Store (EBS) was introduced in 2008. It provides persistent block storage for use with Amazon EC2 instances. EBS is designed for high-performance storage that is tightly integrated with EC2 to support a variety of workloads.

The service offers features like snapshot management, data encryption, and volume resizing, ensuring flexibility and security. Amazon EBS supports both general-purpose and provisioned IOPS volumes, catering to diverse performance requirements.

https://aws.amazon.com/ebs/

AWS CodePipeline was launched in 2015. It is a fully managed Continuous Integration/Continuous Deployment (CI/CD) service that automates the release pipelines for applications. CodePipeline allows users to model and visualize the stages of their deployment process, from source control to production.

The service integrates with AWS CodeBuild, AWS CodeDeploy, and third-party tools, enabling seamless application delivery. AWS CodePipeline supports parallel execution of workflows and custom scripts, ensuring flexibility and speed for modern development teams.

https://aws.amazon.com/codepipeline/

Amazon Translate was launched in 2017. It is a neural machine translation service that enables real-time and batch translation of text into multiple languages. Amazon Translate supports a wide range of use cases, including content localization, customer communication, and data analysis.

The service integrates with other AWS offerings like Amazon S3 and Amazon Comprehend for end-to-end natural language processing workflows. With its scalable and cost-effective architecture, Amazon Translate is suitable for applications requiring multilingual support.

https://aws.amazon.com/translate/

AWS Fargate was introduced in 2017. It is a serverless compute engine for containers that eliminates the need to manage EC2 instances. Fargate allows users to focus on application design and scaling without worrying about provisioning or maintaining servers.

The service integrates with Amazon ECS and Amazon EKS, enabling flexibility for containerized application deployment. AWS Fargate supports fine-grained resource allocation, allowing developers to specify the CPU and memory requirements for each container.

https://aws.amazon.com/fargate/

Amazon Elastic File System (EFS) was launched in 2016. It is a scalable and fully managed file storage service designed to be shared across multiple EC2 instances. EFS supports the Network File System (NFS) protocol, making it accessible from multiple regions.

The service is ideal for use cases like content management, web serving, and big data analytics. With features like elastic scaling and regional replication, Amazon EFS ensures high availability and durability for stored data.

https://aws.amazon.com/efs/

Amazon Personalize was launched in 2019. It is a fully managed machine learning (ML) service for building personalized recommendations. With Amazon Personalize, users can create customized recommendation models without requiring extensive ML expertise.

The service integrates with Amazon S3 for data storage and supports real-time recommendations via APIs. Amazon Personalize is widely used for e-commerce, media, and content platforms to enhance user engagement.

https://aws.amazon.com/personalize/

Amazon Rekognition was introduced in 2016. It is a machine learning service for image and video analysis. Amazon Rekognition enables applications to identify objects, scenes, and activities in visual media, and also supports facial recognition.

The service integrates with Amazon S3 for storing media files and supports custom label detection for domain-specific use cases. Amazon Rekognition is widely used for security, media monitoring, and customer insights applications.

https://aws.amazon.com/rekognition/

AWS Systems Manager was launched in 2017. It is a fully managed service for operational insights and management of AWS resources. Systems Manager provides a unified interface for monitoring, managing, and automating infrastructure tasks.

The service integrates with AWS CloudWatch and AWS CloudTrail for comprehensive observability and compliance. With features like Run Command, Patch Manager, and Parameter Store, AWS Systems Manager simplifies infrastructure operations.

https://aws.amazon.com/systems-manager/

AWS CloudFormation was launched in 2011. It is a service that enables users to model and provision AWS resources using Infrastructure as Code (IaC). By defining templates in JSON or YAML, users can automate the setup of complex environments, ensuring consistent deployments.

The service integrates with various AWS offerings like Amazon EC2, Amazon S3, and AWS Lambda to simplify the management of dependencies. Features like drift detection and stack policies allow for enhanced governance and control of cloud resources.

https://aws.amazon.com/cloudformation/

Amazon EMR (Elastic MapReduce) was introduced in 2009. It is a managed big data framework that simplifies the processing of large datasets. EMR uses Apache Hadoop, Apache Spark, and other tools for tasks such as data mining, ETL, and machine learning (ML).

The service integrates seamlessly with Amazon S3 for data storage and Amazon Redshift for analytics. With features like auto-scaling and spot instances, Amazon EMR provides cost-effective and scalable solutions for data processing.

https://aws.amazon.com/emr/

Amazon Aurora was launched in 2014. It is a fully managed relational database engine designed for MySQL and PostgreSQL compatibility. Aurora offers enhanced performance and availability, claiming up to five times the speed of standard MySQL.

The service includes features like read replicas, automatic backups, and multi-AZ deployment for fault tolerance. Amazon Aurora integrates with AWS Lambda and Amazon Redshift, making it a central component for modern application architectures.

https://aws.amazon.com/rds/aurora/

AWS Key Management Service (KMS) was introduced in 2014. It provides a centralized platform for managing encryption keys used to secure AWS resources. KMS integrates natively with services like Amazon S3, Amazon RDS, and Amazon DynamoDB to streamline data encryption.

The service supports compliance with standards like FIPS 140-2 and offers features such as key rotation and detailed logging through AWS CloudTrail. AWS KMS is crucial for applications requiring stringent data protection.

https://aws.amazon.com/kms/

Amazon Elastic Transcoder was introduced in 2013. It is a service for converting media files into different formats optimized for playback on various devices. Elastic Transcoder simplifies the encoding process by providing pre-configured settings for popular formats.

The service integrates with Amazon S3 for input and output storage and supports pipelines for batch processing. Amazon Elastic Transcoder is widely used for media distribution and video streaming platforms.

https://aws.amazon.com/elastictranscoder/

Amazon AppStream 2.0 was launched in 2016. It is a fully managed service for delivering desktop applications as streaming services. AppStream 2.0 allows users to access applications through a web browser without needing to install them locally.

The service integrates with Amazon S3 for file storage and supports Active Directory for identity management. Amazon AppStream 2.0 is ideal for education, remote work, and enterprise software delivery.

https://aws.amazon.com/appstream2/

Amazon CloudSearch was introduced in 2012. It is a fully managed search engine service that makes it easy to integrate custom search capabilities into applications. CloudSearch supports full-text search, faceting, and near-real-time indexing.

The service integrates with Amazon S3 and other AWS data sources for indexing structured and unstructured data. Amazon CloudSearch is commonly used for e-commerce and document management applications.

https://aws.amazon.com/cloudsearch/

AWS IoT Core was launched in 2015. It is a managed service that enables secure and scalable communication between IoT devices and cloud applications. IoT Core supports MQTT and HTTP protocols for bidirectional communication.

The service integrates with AWS Lambda for event-driven applications and Amazon DynamoDB for real-time data storage. AWS IoT Core is widely used for smart devices, connected cars, and industrial IoT use cases.

https://aws.amazon.com/iot-core/

AWS Device Farm was introduced in 2015. It is an application testing service that allows developers to test their mobile and web apps on a wide range of real devices hosted in the cloud. Device Farm supports both manual and automated testing.

The service integrates with popular testing frameworks like Appium and Selenium, ensuring flexibility in test execution. AWS Device Farm is widely used for ensuring app compatibility and performance across different devices and platforms.

https://aws.amazon.com/device-farm/

Amazon WorkSpaces was launched in 2013. It is a fully managed Desktop as a Service (DaaS) solution that provides secure virtual desktops. WorkSpaces allows users to access their desktop environment from any device.

The service integrates with Amazon S3 for user data storage and AWS Directory Service for identity management. Amazon WorkSpaces is ideal for remote work, education, and businesses requiring secure and scalable desktop solutions.

https://aws.amazon.com/workspaces/

Amazon QuickSight was introduced in 2016. It is a business intelligence (BI) service that enables organizations to analyze and visualize data. QuickSight provides interactive dashboards and advanced analytics powered by machine learning (ML), enabling users to uncover insights from their data.

The service integrates with various AWS data sources like Amazon S3, Amazon RDS, and Amazon Redshift, as well as third-party databases. With features like SPICE (Super-fast, Parallel, In-memory Calculation Engine), Amazon QuickSight ensures fast and efficient data analysis at scale.

https://aws.amazon.com/quicksight/

AWS CodeCommit was launched in 2015. It is a fully managed source control service that hosts secure Git repositories. Developers can store and manage their code in the cloud while collaborating seamlessly with their teams.

The service integrates with other AWS developer tools like AWS CodePipeline and AWS Lambda, enabling end-to-end Continuous Integration/Continuous Deployment (CI/CD) workflows. AWS CodeCommit provides features like branch protection and encryption to ensure secure version control.

https://aws.amazon.com/codecommit/

Amazon Macie was introduced in 2017. It is a fully managed data security and data privacy service that uses machine learning to detect, classify, and protect sensitive information stored in Amazon S3. Macie helps organizations maintain compliance with regulatory standards by identifying and securing Personally Identifiable Information (PII).

The service integrates with AWS CloudTrail and Amazon S3 Event Notifications for real-time monitoring and reporting. Amazon Macie is widely used for protecting sensitive data in industries like finance, healthcare, and government.

https://aws.amazon.com/macie/

AWS Trusted Advisor was launched in 2013. It is a service that provides recommendations to optimize AWS resources, improve security, and reduce costs. Trusted Advisor evaluates the user's environment against best practices in areas like fault tolerance and performance.

The service integrates with other AWS tools like AWS Organizations for multi-account management and provides real-time dashboards for monitoring recommendations. AWS Trusted Advisor helps businesses enhance the reliability and efficiency of their cloud environments.

https://aws.amazon.com/premiumsupport/technology/trusted-advisor/

AWS Backup was introduced in 2019. It is a fully managed service that centralizes and automates the backup of AWS resources like Amazon S3, Amazon RDS, and Amazon DynamoDB. Backup ensures data integrity and simplifies compliance with regulatory requirements.

The service integrates with other AWS offerings like AWS Storage Gateway for hybrid cloud backups and supports policy-based management to automate schedules and retention settings. AWS Backup is widely used for disaster recovery and data archival.

https://aws.amazon.com/backup/

AWS Direct Connect was launched in 2011. It is a service that establishes a dedicated network connection between a user's on-premises environment and AWS. Direct Connect provides lower latency and consistent network performance compared to internet-based connections.

The service integrates with Amazon VPC for creating hybrid cloud architectures and supports multiple connection options to suit different bandwidth requirements. AWS Direct Connect is widely used for data transfer, backup, and hybrid cloud deployments.

https://aws.amazon.com/directconnect/

Amazon EventBridge was introduced in 2019. It is a serverless event bus service that makes it easy to connect applications using events from AWS services, custom applications, or Software as a Service (SaaS) providers. EventBridge enables event-driven architecture for scalable and responsive applications.

The service integrates with other AWS offerings like AWS Lambda and Amazon SQS, providing seamless event processing and orchestration. Amazon EventBridge is commonly used for real-time application integration and automation.

https://aws.amazon.com/eventbridge/

AWS Firewall Manager was introduced in 2018. It is a security management service that simplifies the deployment and maintenance of AWS Web Application Firewall (WAF), AWS Shield, and security groups across multiple accounts. Firewall Manager ensures consistent enforcement of security policies.

The service integrates with AWS Organizations to apply policies across a multi-account setup and provides real-time monitoring and compliance checks. AWS Firewall Manager is widely used for protecting web applications and ensuring regulatory compliance.

https://aws.amazon.com/firewall-manager/

Amazon Timestream was launched in 2020. It is a fully managed time series database designed for applications that collect and analyze time-stamped data. Timestream is optimized for storing data like metrics, events, and logs from IoT devices or application monitoring systems.

The service integrates with Amazon Kinesis and AWS IoT Core for data ingestion and supports querying using SQL. Amazon Timestream is ideal for use cases like real-time analytics and performance monitoring.

https://aws.amazon.com/timestream/

AWS App Mesh was introduced in 2019. It is a service mesh that provides application-level networking for microservices running on Amazon ECS, Amazon EKS, or AWS Fargate. App Mesh enables service-to-service communication, observability, and traffic control.

The service integrates with Amazon CloudWatch for monitoring and AWS X-Ray for tracing, ensuring a robust microservices architecture. AWS App Mesh is widely used for applications requiring high availability and fault-tolerant service communication.

https://aws.amazon.com/app-mesh/

Amazon Polly was introduced in 2016. It is a text-to-speech service that uses advanced machine learning (ML) to convert text into lifelike speech. Polly supports a wide range of languages and voices, enabling businesses to create natural-sounding audio for various applications.

The service integrates with other AWS offerings like Amazon S3 for storing generated audio files and AWS Lambda for automating speech synthesis workflows. Amazon Polly is widely used in e-learning, customer service, and media production.

https://aws.amazon.com/polly/

Amazon Textract was launched in 2019. It is a machine learning service that automatically extracts text, handwriting, and data from scanned documents. Unlike traditional OCR software, Textract identifies the structure and relationships in the document's data, making it ideal for complex forms and tables.

The service integrates with Amazon S3 for document storage and AWS Lambda for real-time data extraction workflows. Amazon Textract is widely used in document processing, compliance, and data extraction applications.

https://aws.amazon.com/textract/

Amazon Comprehend was launched in 2018. It is a natural language processing (NLP) service that uses machine learning to uncover insights and relationships in text. Comprehend provides features like entity recognition, sentiment analysis, and topic modeling.

The service integrates with Amazon S3 and Amazon Redshift for processing large datasets. Amazon Comprehend is widely used in social media analysis, customer feedback processing, and document classification.

https://aws.amazon.com/comprehend/

AWS Snowball was introduced in 2015. It is a secure, physical device designed for transferring large amounts of data into and out of the AWS cloud. Snowball supports petabyte-scale data migration, making it ideal for workloads requiring high-speed and secure transfer.

The service integrates with Amazon S3 for data ingestion and provides encryption for secure data handling. AWS Snowball is widely used for data center migration, disaster recovery, and content distribution.

https://aws.amazon.com/snowball/

Amazon Neptune was launched in 2018. It is a managed graph database service optimized for storing and querying highly connected data. Neptune supports property graph and RDF models, enabling users to execute complex queries using Gremlin or SPARQL.

The service integrates with Amazon S3 for data import and AWS Lambda for event-driven applications. Amazon Neptune is widely used in recommendation engines, fraud detection, and knowledge graph use cases.

https://aws.amazon.com/neptune/

Amazon Kendra was introduced in 2019. It is an intelligent search service that uses machine learning to deliver highly accurate search results. Kendra supports integration with data sources like Amazon S3, SharePoint, and databases, enabling unified search experiences.

With features like natural language understanding and query suggestions, Amazon Kendra is ideal for enterprise search, customer service, and knowledge management.

https://aws.amazon.com/kendra/

AWS Security Hub was launched in 2018. It provides a centralized view of security alerts and compliance checks across AWS accounts. Security Hub aggregates findings from services like Amazon GuardDuty, AWS Config, and Amazon Macie, offering a comprehensive security posture.

The service integrates with third-party tools and AWS Organizations for multi-account management. AWS Security Hub is essential for threat detection, vulnerability management, and compliance monitoring.

https://aws.amazon.com/security-hub/

AWS Elastic Beanstalk was introduced in 2011. It is a fully managed Platform as a Service (PaaS) solution for deploying and managing applications in the cloud. Developers can upload their code, and Elastic Beanstalk automatically handles deployment, scaling, and monitoring.

The service integrates with Amazon RDS, Amazon S3, and AWS CloudWatch for seamless application support. AWS Elastic Beanstalk is widely used for web applications, mobile backends, and APIs.

https://aws.amazon.com/elasticbeanstalk/

Amazon Elastic Graphics was introduced in 2017. It provides GPU acceleration for Amazon EC2 instances, enabling users to run graphics-intensive applications without provisioning dedicated GPU instances. Elastic Graphics allows flexible allocation of GPU resources to meet workload requirements.

The service integrates with Amazon EC2 and supports popular graphics libraries like OpenGL and DirectX. Amazon Elastic Graphics is widely used for 3D rendering, visualization, and game development.

https://aws.amazon.com/elastic-graphics/

AWS IoT Analytics was launched in 2017. It is a managed service that helps process, analyze, and visualize data from IoT devices. IoT Analytics provides tools for cleaning and enriching data, enabling meaningful insights from complex datasets.

The service integrates with AWS IoT Core, Amazon S3, and Amazon QuickSight for end-to-end analytics workflows. AWS IoT Analytics is widely used in predictive maintenance, sensor data analysis, and IoT application development.

https://aws.amazon.com/iot-analytics/

AWS Ground Station was launched in 2019. It is a fully managed service that allows customers to control satellite communications and process satellite data. Ground Station eliminates the need for customers to build or operate ground station infrastructure, making satellite data accessible and scalable.

The service integrates with other AWS offerings like Amazon S3 for data storage and Amazon SageMaker for satellite data analysis. AWS Ground Station is widely used in applications like weather monitoring, telecommunications, and earth observation.

https://aws.amazon.com/ground-station/

AWS App Runner was introduced in 2021. It is a fully managed service that enables developers to deploy and run scalable web applications and APIs without managing infrastructure. App Runner automatically builds and deploys containerized applications from source code or images stored in repositories.

The service integrates with Amazon ECR and AWS CodePipeline for seamless deployment workflows. AWS App Runner is ideal for microservices, web applications, and API hosting with minimal operational overhead.

https://aws.amazon.com/apprunner/

AWS Elastic Disaster Recovery (DRS) was introduced in 2021. It is a service designed to minimize downtime and data loss during infrastructure outages. Elastic Disaster Recovery allows users to recover their on-premises or cloud-based applications on AWS infrastructure quickly.

The service integrates with Amazon EC2 and Amazon VPC for recovery operations, offering scalability and reliability. AWS Elastic Disaster Recovery is used for business continuity planning and ensuring disaster recovery readiness.

https://aws.amazon.com/disaster-recovery/

Amazon Honeycode was launched in 2020. It is a fully managed service that allows users to build custom applications without requiring programming skills. Honeycode combines a spreadsheet interface with application development tools, enabling teams to manage workflows and data efficiently.

The service integrates with other AWS offerings like Amazon S3 and Amazon SNS for enhanced functionality. Amazon Honeycode is widely used for project management, task tracking, and collaboration tools.

https://aws.amazon.com/honeycode/

Amazon Detective was introduced in 2020. It is a fully managed security service that helps analyze and visualize security data to identify and investigate potential threats. Detective aggregates and organizes data from AWS CloudTrail, Amazon GuardDuty, and Amazon VPC Flow Logs.

The service provides visualizations and insights that simplify security investigation workflows. Amazon Detective is widely used in incident response, threat hunting, and security operations.

https://aws.amazon.com/detective/

AWS Outposts was introduced in 2019. It is a fully managed service that extends AWS infrastructure, services, and tools to on-premises environments. Outposts enable users to run applications with low latency while maintaining a consistent hybrid cloud experience.

The service integrates with Amazon EC2, Amazon S3, and Amazon RDS for seamless operations across on-premises and cloud environments. AWS Outposts is widely used in industries like manufacturing, healthcare, and financial services.

https://aws.amazon.com/outposts/

Amazon Fraud Detector was launched in 2020. It is a fully managed service that uses machine learning to detect potentially fraudulent activities, such as online payment fraud or account takeovers. Fraud Detector simplifies the development and deployment of fraud detection models.

The service integrates with Amazon S3 for data storage and Amazon CloudWatch for monitoring, providing end-to-end fraud prevention capabilities. Amazon Fraud Detector is widely used in e-commerce, financial services, and gaming.

https://aws.amazon.com/fraud-detector/

AWS Savings Plans were introduced in 2019. They provide flexible pricing models that offer significant cost savings for using AWS compute services like Amazon EC2 and AWS Lambda. Savings Plans allow customers to commit to a consistent usage level over one or three years for discounted rates.

The service integrates with AWS Cost Explorer to help users analyze spending patterns and optimize commitments. AWS Savings Plans are widely adopted for cost management and budget optimization.

https://aws.amazon.com/savingsplans/

Amazon Elastic Inference was launched in 2018. It allows users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and Amazon SageMaker instances. Elastic Inference reduces the cost of running machine learning inference by allocating GPU resources based on application needs.

The service supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet. Amazon Elastic Inference is ideal for real-time inference, image processing, and speech recognition applications.

https://aws.amazon.com/elastic-inference/

AWS Proton was introduced in 2020. It is a fully managed service for deploying and managing modern application infrastructure. Proton enables development and operations teams to define application templates for consistent deployments across environments.

The service integrates with AWS CodePipeline and AWS CloudFormation to automate infrastructure provisioning and deployments. AWS Proton is widely used for microservices and containerized application management.

https://aws.amazon.com/proton/

AWS Device Farm was launched in 2015. It is a fully managed service that allows developers to test their mobile and web applications across a variety of real devices hosted in the cloud. Device Farm supports both automated and manual testing to ensure applications work seamlessly on different platforms.

The service integrates with popular testing frameworks like Appium and Selenium, and supports tools for debugging and performance monitoring. AWS Device Farm is widely used for app development, ensuring compatibility and reliability across multiple devices.

https://aws.amazon.com/device-farm/

AWS IoT Core was introduced in 2015. It is a managed service that enables secure and scalable communication between IoT devices and cloud applications. IoT Core supports protocols like MQTT and HTTP, ensuring efficient data transmission.

The service integrates with AWS Lambda, Amazon DynamoDB, and Amazon S3, enabling real-time data processing and storage. AWS IoT Core is widely used in smart home applications, connected vehicles, and industrial IoT systems.

https://aws.amazon.com/iot-core/

AWS Glue Elastic Views was launched in 2020. It is a service that enables real-time data replication across multiple databases and data stores. Elastic Views uses SQL to create materialized views, simplifying data access and analytics.

The service integrates with Amazon DynamoDB, Amazon RDS, and Amazon S3, ensuring compatibility with diverse data sources. AWS Glue Elastic Views is ideal for data synchronization, real-time dashboards, and analytics.

https://aws.amazon.com/glue/elastic-views/

Amazon Managed Blockchain was launched in 2019. It is a fully managed service that allows users to create and manage scalable blockchain networks. Supporting frameworks like Hyperledger Fabric and Ethereum, Managed Blockchain enables secure and transparent transactions.

The service integrates with AWS Key Management Service (KMS) for encryption and Amazon CloudWatch for monitoring. Amazon Managed Blockchain is widely used in supply chain, finance, and decentralized applications.

https://aws.amazon.com/managed-blockchain/

AWS Network Firewall was launched in 2020. It is a managed service that provides network protection for Amazon VPCs. Network Firewall enables users to define rules for traffic filtering and monitoring, helping to secure cloud environments.

The service integrates with AWS Firewall Manager and AWS Security Hub for centralized policy management and compliance. AWS Network Firewall is widely used for intrusion prevention, web filtering, and compliance enforcement.

https://aws.amazon.com/network-firewall/

Amazon Elastic Container Registry (ECR) was introduced in 2015. It is a fully managed container registry that simplifies the storage, management, and deployment of Docker containers. ECR ensures secure and scalable storage for container images.

The service integrates with Amazon ECS, Amazon EKS, and AWS Lambda for seamless container orchestration and deployment. Amazon ECR is widely used for microservices, CI/CD pipelines, and containerized application management.

https://aws.amazon.com/ecr/

AWS DataSync was launched in 2018. It is a managed service for automating data transfer between on-premises storage and AWS storage services like Amazon S3 and Amazon EFS. DataSync accelerates data migration by transferring large volumes of data securely and efficiently.

The service integrates with AWS Backup and AWS Storage Gateway to streamline hybrid cloud workflows. AWS DataSync is widely used for data migration, disaster recovery, and hybrid storage solutions.

https://aws.amazon.com/datasync/

Amazon WorkDocs was launched in 2014. It is a fully managed, secure content collaboration service that allows teams to store, share, and edit files. WorkDocs supports real-time collaboration and integrates with AWS Directory Service for secure user access.

The service integrates with other AWS offerings like Amazon S3 for storage and AWS Lambda for custom workflows. Amazon WorkDocs is widely used for team collaboration, document management, and remote work scenarios.

https://aws.amazon.com/workdocs/

AWS Resilience Hub was launched in 2021. It is a service that helps organizations evaluate and improve the resilience of their AWS applications. Resilience Hub provides insights into potential vulnerabilities and offers recommendations for disaster recovery and fault tolerance.

The service integrates with AWS CloudFormation, Amazon CloudWatch, and AWS Backup for comprehensive resilience management. AWS Resilience Hub is widely used for business continuity planning and ensuring application reliability.

https://aws.amazon.com/resilience-hub/

Amazon Kinesis Data Firehose was launched in 2015. It is a fully managed service for delivering real-time streaming data to destinations like Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service. Kinesis Data Firehose simplifies the process of capturing, transforming, and loading streaming data.

The service integrates with AWS Lambda for real-time data transformation and Amazon CloudWatch for monitoring. Amazon Kinesis Data Firehose is widely used for data analytics, log monitoring, and stream processing.

https://aws.amazon.com/kinesis/data-firehose/

AWS Storage Gateway was launched in 2012. It is a hybrid cloud storage service that enables on-premises applications to access AWS storage seamlessly. Storage Gateway provides three types of gateways: File Gateway, Volume Gateway, and Tape Gateway, catering to different use cases like backup, archiving, and hybrid cloud integration.

The service integrates with Amazon S3, Amazon Glacier, and Amazon EBS for scalable storage solutions. AWS Storage Gateway is widely used for disaster recovery, data migration, and extending on-premises workloads to the cloud.

https://aws.amazon.com/storagegateway/

AWS IoT Greengrass was introduced in 2017. It is a service that brings local compute, messaging, data caching, and machine learning inference capabilities to IoT devices. IoT Greengrass allows devices to operate even when not connected to the cloud, enabling offline functionality.

The service integrates with AWS Lambda and AWS IoT Core for edge computing workflows. AWS IoT Greengrass is widely used in smart home automation, industrial IoT, and edge computing applications.

https://aws.amazon.com/greengrass/

AWS Fault Injection Simulator was launched in 2021. It is a fully managed service for conducting controlled experiments to test application resilience and fault tolerance. Fault Injection Simulator enables teams to introduce failure scenarios like latency, resource unavailability, and API throttling.

The service integrates with AWS CloudWatch and AWS CloudTrail for monitoring and compliance. AWS Fault Injection Simulator is widely used for chaos engineering and improving application reliability.

https://aws.amazon.com/fault-injection-simulator/

Amazon AppSync was introduced in 2018. It is a fully managed service for building scalable GraphQL APIs that integrate seamlessly with cloud data sources. AppSync simplifies application development by automating real-time data synchronization across devices and users.

The service integrates with AWS Lambda, Amazon DynamoDB, and Amazon Elasticsearch Service for end-to-end application workflows. Amazon AppSync is widely used for mobile applications, real-time dashboards, and collaborative tools.

https://aws.amazon.com/appsync/

AWS CloudShell was launched in 2020. It is a browser-based shell environment that provides users with secure access to AWS CLI and development tools. CloudShell allows developers to manage and interact with AWS resources directly from the console without configuring local environments.

The service integrates with AWS Identity and Access Management (IAM) for secure access control and supports pre-installed tools for automation and scripting. AWS CloudShell is widely used for cloud resource management and developer workflows.

https://aws.amazon.com/cloudshell/

Amazon Translate was introduced in 2017. It is a neural machine translation service that enables text translation in multiple languages. Translate provides real-time and batch translation for applications requiring multilingual communication.

The service integrates with Amazon S3, AWS Lambda, and Amazon Comprehend for comprehensive natural language processing workflows. Amazon Translate is widely used in content localization, e-commerce, and customer support applications.

https://aws.amazon.com/translate/

AWS Amplify was launched in 2018. It is a comprehensive development platform for building scalable web and mobile applications. Amplify simplifies backend development by providing tools for authentication, data storage, and API integration.

The service integrates with AWS Lambda, Amazon Cognito, and AWS AppSync to enable seamless full-stack development. AWS Amplify is widely used for rapid prototyping, mobile development, and serverless applications.

https://aws.amazon.com/amplify/

Amazon Transcribe was introduced in 2017. It is a fully managed automatic speech recognition (ASR) service that converts speech to text. Transcribe supports features like speaker identification and punctuation, making it ideal for applications requiring accurate transcription.

The service integrates with Amazon S3, Amazon Comprehend, and Amazon Translate for multi-modal workflows. Amazon Transcribe is widely used in call center analytics, media captioning, and content creation.

https://aws.amazon.com/transcribe/

AWS Cloud Map was launched in 2018. It is a service discovery tool that helps applications dynamically map resources like databases, storage, and microservices. Cloud Map ensures applications can locate resources reliably during runtime.

The service integrates with Amazon ECS, AWS Lambda, and AWS App Mesh to support microservices architectures. AWS Cloud Map is widely used for service discovery, load balancing, and application scaling.

https://aws.amazon.com/cloud-map/

Amazon Sumerian was launched in 2017. It is a managed service for creating and running 3D, augmented reality (AR), and virtual reality (VR) applications. Sumerian provides a web-based editor and supports devices like Oculus Rift and HTC Vive.

The service integrates with Amazon Lex, Amazon Polly, and AWS IoT to enable interactive and immersive experiences. Amazon Sumerian is widely used in training simulations, virtual showrooms, and education.

https://aws.amazon.com/sumerian/

AWS OpsWorks was launched in 2013. It is a configuration management service that provides managed instances of Chef and Puppet to automate server setup, deployment, and scaling. OpsWorks enables infrastructure as code for consistent application environments.

The service integrates with Amazon EC2, Amazon RDS, and other AWS offerings to manage complex architectures. AWS OpsWorks is widely used for DevOps automation, application scaling, and configuration management.

https://aws.amazon.com/opsworks/

Amazon Connect was introduced in 2017. It is a cloud-based contact center service that enables businesses to provide customer support and manage communications. Connect offers features like interactive voice response (IVR) and automatic call distribution (ACD) to streamline customer interactions.

The service integrates with Amazon Lex for conversational AI and Amazon Polly for text-to-speech capabilities. Amazon Connect is widely used for call center operations, customer engagement, and real-time analytics.

https://aws.amazon.com/connect/

AWS Cost Explorer was launched in 2013. It is a tool that allows users to analyze and manage their AWS costs and usage over time. Cost Explorer provides visualizations and detailed reports to help users identify spending trends and optimize resources.

The service integrates with AWS Budgets and AWS Savings Plans to offer recommendations for cost savings. AWS Cost Explorer is widely used for cost management, resource allocation, and budget optimization.

https://aws.amazon.com/aws-cost-management/aws-cost-explorer/

AWS CodeArtifact was introduced in 2020. It is a fully managed artifact repository service that makes it easy for organizations to securely store and share software packages used in their development processes. CodeArtifact supports popular package formats like npm, Maven, and PyPI.

The service integrates with AWS CodePipeline and AWS CodeBuild to automate software development workflows. AWS CodeArtifact is widely used for dependency management, version control, and software delivery.

https://aws.amazon.com/codeartifact/

Amazon Elasticsearch Service was launched in 2015 (later renamed Amazon OpenSearch Service). It is a fully managed service for deploying, operating, and scaling Elasticsearch clusters. The service supports features like full-text search, log analytics, and monitoring.

The service integrates with Amazon CloudWatch and AWS Lambda for automated workflows. Amazon Elasticsearch Service is widely used for log management, security analytics, and data exploration.

https://aws.amazon.com/elasticsearch-service/

AWS Global Accelerator was launched in 2018. It is a networking service that improves the performance and availability of applications by routing traffic through the AWS global network. Global Accelerator reduces latency and provides consistent performance for global users.

The service integrates with Elastic Load Balancers, Amazon EC2, and Amazon S3 to optimize traffic distribution. AWS Global Accelerator is widely used for web applications, gaming, and real-time communication.

https://aws.amazon.com/global-accelerator/

AWS App2Container was launched in 2020. It is a command-line tool that helps developers modernize applications by containerizing existing workloads. App2Container identifies application dependencies and generates Docker images for deployment on Amazon ECS, Amazon EKS, or AWS Fargate.

The service integrates with AWS CodePipeline and AWS CloudFormation for automated deployment workflows. AWS App2Container is widely used for application modernization and cloud migration.

https://aws.amazon.com/app2container/

Amazon Elastic Inference was introduced in 2018. It allows users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and Amazon SageMaker instances. Elastic Inference reduces the cost of running machine learning (ML) inference tasks.

The service integrates with frameworks like TensorFlow, PyTorch, and Apache MXNet. Amazon Elastic Inference is widely used for real-time inference, image processing, and speech recognition.

https://aws.amazon.com/elastic-inference/

AWS DeepLens was introduced in 2017. It is a deep learning-enabled camera designed for developers to prototype and deploy machine learning models at the edge. DeepLens supports frameworks like TensorFlow and Apache MXNet, enabling real-time video analysis.

The service integrates with AWS Lambda, Amazon S3, and Amazon SageMaker for model training and deployment. AWS DeepLens is widely used in computer vision, image recognition, and educational projects.

https://aws.amazon.com/deeplens/

AWS Data Exchange was launched in 2019. It is a service that makes it easy to find, subscribe to, and use third-party data in the cloud. Data Exchange supports data formats like CSV and JSON, enabling seamless integration into analytics workflows.

The service integrates with Amazon Redshift and AWS Glue for data processing and analysis. AWS Data Exchange is widely used in industries like finance, healthcare, and retail for accessing market data and insights.

https://aws.amazon.com/data-exchange/

AWS Well-Architected Tool was introduced in 2018. It helps users evaluate and improve the design of their AWS workloads based on the AWS Well-Architected Framework. The tool provides recommendations for enhancing security, reliability, and cost-efficiency.

The service integrates with AWS Trusted Advisor and AWS Organizations for multi-account assessments. AWS Well-Architected Tool is widely used for architecture reviews and ensuring best practices in cloud deployments.

https://aws.amazon.com/well-architected-tool/

Amazon Lightsail was launched in 2016. It is a simplified cloud platform designed for developers to build and deploy virtual servers, databases, and networking resources. Lightsail provides an intuitive interface and predefined pricing to simplify cloud adoption.

The service integrates with other AWS offerings like Amazon S3 for storage and Amazon Route 53 for domain management. Amazon Lightsail is widely used for web hosting, development environments, and small-scale applications.

https://aws.amazon.com/lightsail/

AWS Control Tower was launched in 2019. It is a service that provides a secure and compliant environment for managing multi-account setups in AWS. Control Tower automates the setup of landing zones and enforces governance using guardrails.

The service integrates with AWS Organizations and AWS IAM for centralized management and identity control. AWS Control Tower is widely used for enterprise cloud governance and maintaining regulatory compliance.

https://aws.amazon.com/control-tower/

Amazon Personalize was introduced in 2019. It is a fully managed machine learning service for building personalized recommendation systems. Personalize leverages user data to create custom recommendation engines without requiring extensive ML expertise.

The service integrates with Amazon S3 for data storage and Amazon CloudWatch for monitoring. Amazon Personalize is widely used in e-commerce, media, and customer engagement platforms.

https://aws.amazon.com/personalize/

AWS Secrets Manager was launched in 2018. It is a service for managing and securing sensitive information such as database credentials, API keys, and encryption keys. Secrets Manager automates secret rotation and provides detailed logging via AWS CloudTrail.

The service integrates with other AWS offerings like Amazon RDS and AWS Lambda for seamless secret management workflows. AWS Secrets Manager is widely used for security compliance and data protection.

https://aws.amazon.com/secrets-manager/

AWS Migration Hub was launched in 2017. It provides a single interface to track and manage the progress of cloud migration projects. Migration Hub integrates with migration tools like AWS Server Migration Service (SMS) and AWS Database Migration Service (DMS).

The service supports data collection from on-premises environments and offers insights into application dependencies. AWS Migration Hub is widely used for data center migration and simplifying cloud adoption.

https://aws.amazon.com/migration-hub/

AWS IoT SiteWise was introduced in 2019. It is a managed service that collects, stores, and organizes data from industrial IoT devices for analysis. IoT SiteWise enables real-time monitoring and visualization of operational data.

The service integrates with AWS IoT Core, Amazon S3, and Amazon QuickSight for analytics workflows. AWS IoT SiteWise is widely used in manufacturing, energy, and industrial automation.

https://aws.amazon.com/iot-sitewise/

Amazon Transcribe Medical was launched in 2019. It is a specialized version of Amazon Transcribe designed for converting medical speech to text. Transcribe Medical supports real-time transcription with medical-specific vocabulary and formatting.

The service integrates with Amazon S3 for storing transcripts and Amazon Comprehend Medical for advanced text analytics. Amazon Transcribe Medical is widely used in telemedicine, clinical documentation, and healthcare analytics.

https://aws.amazon.com/transcribe/medical/

AWS RoboMaker was introduced in 2018. It is a fully managed service for developing, testing, and deploying robotics applications. RoboMaker supports frameworks like Robot Operating System (ROS) and provides simulation environments for testing.

The service integrates with AWS Lambda, Amazon S3, and Amazon CloudWatch for automation and monitoring. AWS RoboMaker is widely used in autonomous vehicle development, robotic automation, and educational robotics.

https://aws.amazon.com/robomaker/

AWS Elemental MediaConvert was launched in 2017. It is a file-based video transcoding service that enables the creation of on-demand video content for delivery to multiple platforms. MediaConvert supports advanced features like HDR, 4K resolution, and closed captioning.

The service integrates with Amazon S3 for input and output storage and Amazon CloudFront for content delivery. AWS Elemental MediaConvert is widely used in media production, broadcasting, and content delivery.

https://aws.amazon.com/mediaconvert/

Amazon Timestream was introduced in 2020. It is a fully managed time series database service optimized for fast ingestion and querying of time-stamped data. Timestream is designed for workloads like IoT, application monitoring, and real-time analytics.

The service integrates with Amazon Kinesis, AWS IoT Core, and Amazon QuickSight for comprehensive analytics workflows. Amazon Timestream is widely used for performance monitoring, sensor data analysis, and operational dashboards.

https://aws.amazon.com/timestream/

AWS License Manager was launched in 2018. It is a service that simplifies the management of software licenses from vendors such as Microsoft, Oracle, and SAP. License Manager ensures compliance and helps reduce licensing costs by tracking usage.

The service integrates with AWS Organizations and Amazon EC2 for centralizing license tracking across environments. AWS License Manager is widely used for software compliance and managing enterprise software licenses.

https://aws.amazon.com/license-manager/

Amazon DocumentDB was launched in 2019. It is a fully managed document database service designed for scaling JSON-based workloads. DocumentDB is compatible with MongoDB applications, making it easy to migrate and modernize existing applications.

The service integrates with Amazon S3, AWS Lambda, and AWS Glue for data processing and analytics. Amazon DocumentDB is widely used for content management systems, catalog management, and real-time applications.

https://aws.amazon.com/documentdb/

AWS Cloud WAN was launched in 2021. It is a managed wide area networking service that simplifies the operation of multi-region, multi-account networks. Cloud WAN enables central configuration and monitoring of network traffic.

The service integrates with Amazon VPC, AWS Direct Connect, and AWS Transit Gateway for creating global networks. AWS Cloud WAN is widely used for enterprise networking, hybrid cloud, and multi-region architectures.

https://aws.amazon.com/cloud-wan/

AWS App Mesh was launched in 2019. It is a service mesh that simplifies communication between microservices by providing observability, traffic control, and service discovery. App Mesh allows developers to standardize networking and monitoring across distributed applications.

The service integrates with Amazon ECS, Amazon EKS, and AWS Fargate for container orchestration. AWS App Mesh is widely used for microservices architecture and ensuring service-to-service communication.

https://aws.amazon.com/app-mesh/

AWS Savings Plans were introduced in 2019. They provide flexible pricing models that allow users to commit to a consistent usage level for Amazon EC2, AWS Fargate, and AWS Lambda in exchange for significant cost savings.

The service integrates with AWS Cost Explorer for monitoring and optimizing commitments. AWS Savings Plans are widely adopted for cost optimization and improving budget predictability in cloud environments.

https://aws.amazon.com/savingsplans/

Amazon Cognito was launched in 2014. It is a managed authentication and authorization service that enables developers to add user sign-in, sign-up, and access control to web and mobile applications. Cognito supports integration with OAuth 2.0, OpenID Connect, and SAML.

The service integrates with AWS Lambda and Amazon API Gateway to build secure applications. Amazon Cognito is widely used in user management, identity federation, and secure application development.

https://aws.amazon.com/cognito/

Amazon Elastic File System (EFS) was launched in 2016. It is a fully managed, scalable file storage service designed for use with Amazon EC2 instances. EFS supports Network File System (NFS) protocols, enabling multi-instance access to shared storage.

The service integrates with AWS Backup for automated data protection and Amazon CloudWatch for monitoring. Amazon EFS is widely used for web applications, big data analytics, and content management.

https://aws.amazon.com/efs/

AWS Firewall Manager was introduced in 2018. It is a security management service that allows centralized control of AWS Web Application Firewall (WAF), AWS Shield, and security groups across multiple accounts. Firewall Manager ensures consistent policy enforcement and compliance.

The service integrates with AWS Organizations for multi-account governance and AWS Security Hub for centralized threat monitoring. AWS Firewall Manager is widely used for web application protection and compliance enforcement.

https://aws.amazon.com/firewall-manager/

Amazon CloudFront was introduced in 2008. It is a global Content Delivery Network (CDN) that securely delivers data, videos, applications, and APIs to customers with low latency and high transfer speeds. CloudFront integrates with other AWS services like Amazon S3 and Elastic Load Balancing to enhance content delivery.

With support for edge caching and integrations with AWS Shield and AWS WAF, Amazon CloudFront ensures secure, scalable, and reliable distribution of content. It is widely used for media streaming, website acceleration, and API caching.

https://aws.amazon.com/cloudfront/

Amazon Elastic Transcoder was introduced in 2013. It is a highly scalable, easy-to-use service for converting media files into formats suitable for playback on various devices. Elastic Transcoder provides preconfigured transcoding presets and supports features like adaptive bitrate streaming.

The service integrates with Amazon S3 for storing input and output files and Amazon CloudFront for efficient media delivery. Amazon Elastic Transcoder is widely used in media production, video streaming, and content delivery workflows.

https://aws.amazon.com/elastictranscoder/

AWS DeepRacer was launched in 2018. It is a fully autonomous 1/18th scale race car designed for developers to learn and experiment with reinforcement learning. DeepRacer provides a fun and interactive way to explore advanced machine learning concepts.

The service integrates with Amazon SageMaker for training models and the AWS DeepRacer League for competing in virtual and in-person races. AWS DeepRacer is widely used in developer education and machine learning training.

https://aws.amazon.com/deepracer/

AWS Step Functions was launched in 2016. It is a fully managed service that enables the orchestration of workflows by defining them as state machines. Step Functions simplifies building and coordinating distributed applications.

Amazon Elastic Block Store (EBS) was introduced in 2008. It provides high-performance block storage for Amazon EC2 instances, supporting applications that require low-latency access to persistent data. EBS offers features like snapshots, encryption, and volume resizing to enhance flexibility and security.

The service integrates with AWS Backup for automated data protection and Amazon CloudWatch for monitoring storage metrics. Amazon EBS is widely used for database applications, data warehousing, and transactional workloads.

https://aws.amazon.com/ebs/

AWS Step Functions was launched in 2016. It is a fully managed service that enables users to coordinate multiple AWS services into serverless workflows. Step Functions uses state machines to execute complex processes in a reliable and scalable manner.

The service integrates with AWS Lambda, Amazon S3, and Amazon DynamoDB to create event-driven applications. AWS Step Functions is widely used for automation, data processing, and microservices orchestration.

https://aws.amazon.com/step-functions/

AWS CloudTrail was launched in 2013. It provides governance, compliance, and operational auditing for AWS accounts by recording all API calls and account activity. CloudTrail helps in tracking changes, identifying unusual activities, and ensuring regulatory compliance.

The service integrates with Amazon S3 for log storage and Amazon Athena for log analysis. AWS CloudTrail is widely used for security auditing, compliance monitoring, and troubleshooting.

https://aws.amazon.com/cloudtrail/

Amazon EMR (Elastic MapReduce) was launched in 2009. It is a fully managed big data platform for processing large datasets using frameworks like Apache Hadoop, Apache Spark, and Presto. EMR simplifies data analytics and machine learning at scale.

The service integrates with Amazon S3 for data storage and Amazon Redshift for analytics. Amazon EMR is widely used for ETL processes, data mining, and real-time analytics.

https://aws.amazon.com/emr/

AWS Snowcone was introduced in 2020. It is a portable edge computing and data transfer device designed for environments with limited connectivity. Snowcone supports secure data movement to AWS cloud and enables lightweight edge workloads.

The service integrates with AWS Snowball and AWS DataSync for scalable data transfer solutions. AWS Snowcone is widely used for edge computing, disaster recovery, and remote data collection.

https://aws.amazon.com/snowcone/

Amazon Rekognition was launched in 2016. It is a fully managed image and video analysis service that uses machine learning to identify objects, faces, and activities. Rekognition supports facial analysis, custom labels, and content moderation.

The service integrates with Amazon S3 for storing media and AWS Lambda for triggering events based on visual data. Amazon Rekognition is widely used in security systems, customer insights, and media applications.

https://aws.amazon.com/rekognition/

AWS CodeDeploy was introduced in 2014. It is a fully managed service that automates application deployments to Amazon EC2, Amazon ECS, and on-premises servers. CodeDeploy ensures reliable and incremental updates without downtime.

The service integrates with AWS CodePipeline and AWS CloudFormation for end-to-end deployment workflows. AWS CodeDeploy is widely used for continuous deployment and improving release automation.

https://aws.amazon.com/codedeploy/

Amazon Redshift was launched in 2013. It is a fully managed data warehouse service designed for fast and scalable querying of structured and semi-structured data. Redshift uses columnar storage and data compression to optimize performance.

The service integrates with Amazon S3, AWS Glue, and Amazon QuickSight for comprehensive analytics workflows. Amazon Redshift is widely used for business intelligence, big data analytics, and data warehousing.

https://aws.amazon.com/redshift/

AWS Elastic Beanstalk was introduced in 2011. It is a Platform as a Service (PaaS) solution that simplifies deploying and managing applications. Elastic Beanstalk automatically handles load balancing, scaling, and application monitoring.

The service integrates with Amazon RDS, Amazon S3, and AWS CloudWatch to provide comprehensive support for applications. AWS Elastic Beanstalk is widely used for web applications, mobile backends, and API hosting.

https://aws.amazon.com/elasticbeanstalk/

Amazon Simple Notification Service (SNS) was launched in 2010. It is a fully managed messaging service that supports publish-subscribe patterns for application-to-application and application-to-person communications. SNS enables sending notifications via SMS, email, or push.

The service integrates with AWS Lambda, Amazon SQS, and Amazon CloudWatch for real-time notifications and event-driven architectures. Amazon SNS is widely used for application alerts, event notification, and user engagement.

https://aws.amazon.com/sns/

Amazon Elastic Container Service (ECS) was launched in 2014. It is a fully managed container orchestration service that supports the deployment and scaling of containerized applications. ECS allows users to run applications using either EC2 or AWS Fargate for underlying compute capacity.

The service integrates with Amazon ECR for container image management and AWS App Mesh for networking. Amazon ECS is widely used for microservices, batch processing, and event-driven architectures.

https://aws.amazon.com/ecs/

Amazon Translate was launched in 2017. It is a neural machine translation service that provides real-time and batch text translation across multiple languages. Translate supports applications requiring multilingual communication and localization.

The service integrates with Amazon S3 for storing translated content and AWS Lambda for automation. Amazon Translate is widely used in e-commerce, content localization, and customer support workflows.

https://aws.amazon.com/translate/

AWS Key Management Service (KMS) was launched in 2014. It provides a secure and centralized solution for managing and encrypting sensitive data. KMS integrates natively with many AWS services to enable encryption at rest and in transit.

The service supports features like key rotation, audit logging, and compliance with FIPS 140-2 standards. AWS KMS is widely used for securing API keys, database credentials, and sensitive customer data.

https://aws.amazon.com/kms/

AWS IoT Analytics was introduced in 2017. It is a fully managed service that enables users to clean, process, and analyze data from IoT devices. IoT Analytics provides tools to visualize insights and build predictive models for device-generated data.

The service integrates with AWS IoT Core, Amazon S3, and Amazon QuickSight for end-to-end analytics workflows. AWS IoT Analytics is widely used in predictive maintenance, industrial monitoring, and sensor data processing.

https://aws.amazon.com/iot-analytics/

Amazon ElastiCache was launched in 2011. It is a fully managed in-memory data store and caching service that supports Redis and Memcached. ElastiCache delivers sub-millisecond latency, making it ideal for real-time applications.

The service integrates with Amazon RDS for database caching and AWS Lambda for scalable event-driven workflows. Amazon ElastiCache is widely used in gaming leaderboards, real-time analytics, and session storage.

https://aws.amazon.com/elasticache/

Amazon Athena was introduced in 2016. It is a serverless query service that allows users to analyze data stored in Amazon S3 using SQL. Athena eliminates the need for setting up and managing servers, offering a pay-per-query pricing model.

The service integrates with AWS Glue for metadata management and Amazon QuickSight for visualization. Amazon Athena is widely used for log analysis, data exploration, and business intelligence.

https://aws.amazon.com/athena/

Amazon Neptune was launched in 2018. It is a fully managed graph database service designed to store and query highly connected datasets. Neptune supports Gremlin and SPARQL query languages, enabling the creation of complex relationships between data points.

The service integrates with AWS Lambda and Amazon S3 for processing and importing data. Amazon Neptune is widely used in knowledge graphs, fraud detection, and recommendation engines.

https://aws.amazon.com/neptune/

AWS Glue was launched in 2017. It is a serverless data integration service that simplifies the process of preparing and loading data for analytics. Glue provides features like ETL (Extract, Transform, Load), schema discovery, and data cataloging.

The service integrates with Amazon S3, Amazon Redshift, and Amazon Athena to create end-to-end data pipelines. AWS Glue is widely used in data lakes, data warehousing, and big data analytics.

https://aws.amazon.com/glue/

Amazon Elastic Graphics was launched in 2017. It provides GPU acceleration for Amazon EC2 instances, enabling users to run graphics-intensive workloads without provisioning dedicated GPU instances. Elastic Graphics supports scalable GPU resources tailored to workload needs.

The service integrates with OpenGL and other graphics libraries for 3D rendering and visualization. Amazon Elastic Graphics is widely used in game development, media production, and scientific simulations.

https://aws.amazon.com/elastic-graphics/

Amazon Macie was launched in 2017. It is a data security and privacy service that uses machine learning to identify sensitive information such as Personally Identifiable Information (PII) stored in Amazon S3. Macie provides insights and alerts for data compliance.

The service integrates with AWS CloudTrail for activity logging and AWS Security Hub for centralized security management. Amazon Macie is widely used in compliance auditing, data protection, and privacy management.

https://aws.amazon.com/macie/

Amazon QuickSight was launched in 2016. It is a business intelligence (BI) service that enables users to visualize and analyze data through interactive dashboards and reports. QuickSight provides features like machine learning insights and natural language querying to uncover trends and patterns in data.

The service integrates with Amazon S3, Amazon Redshift, and Amazon Athena to deliver end-to-end analytics workflows. Amazon QuickSight is widely used for data-driven decision making, dashboard creation, and business analytics.

https://aws.amazon.com/quicksight/

AWS Data Exchange was launched in 2019. It simplifies the process of finding, subscribing to, and using third-party datasets. Data Exchange enables organizations to integrate external data sources into their analytics workflows seamlessly.

The service integrates with Amazon Redshift and AWS Glue for data processing and transformation. AWS Data Exchange is widely used in industries like financial services, healthcare, and retail for accessing market data and insights.

https://aws.amazon.com/data-exchange/

Amazon CloudWatch was introduced in 2009. It is a monitoring and observability service that provides insights into resource utilization, application performance, and system health. CloudWatch collects metrics, logs, and events to help users monitor their AWS environment.

The service integrates with AWS Lambda and Amazon SNS for automated alerting and remediation. Amazon CloudWatch is widely used for infrastructure monitoring, log analysis, and troubleshooting.

https://aws.amazon.com/cloudwatch/

Amazon WorkSpaces was launched in 2013. It is a fully managed Desktop as a Service (DaaS) solution that enables users to access virtual desktops from anywhere. WorkSpaces provides secure, scalable desktop environments for remote and hybrid workforces.

The service integrates with AWS Directory Service for authentication and Amazon S3 for data storage. Amazon WorkSpaces is widely used in remote work, education, and enterprise IT management.

https://aws.amazon.com/workspaces/

AWS Backup was introduced in 2019. It is a fully managed service that automates and centralizes data backup across multiple AWS services. Backup supports policies for retention and recovery, ensuring compliance with regulatory requirements.

The service integrates with Amazon S3, Amazon EBS, and Amazon DynamoDB for comprehensive data protection. AWS Backup is widely used for disaster recovery, data archival, and business continuity.

https://aws.amazon.com/backup/

Amazon SNS (Simple Notification Service) was launched in 2010. It is a fully managed messaging service that supports publish-subscribe and point-to-point communication patterns. SNS enables the delivery of messages via SMS, email, or mobile push notifications.

The service integrates with AWS Lambda, Amazon SQS, and Amazon CloudWatch for building event-driven applications. Amazon SNS is widely used for alerting systems, real-time communication, and application monitoring.

https://aws.amazon.com/sns/

AWS Transit Gateway was launched in 2018. It is a networking service that connects multiple Amazon VPCs and on-premises networks via a central hub. Transit Gateway simplifies complex networking architectures, reducing the need for multiple connections.

The service integrates with AWS Direct Connect and AWS VPN for hybrid networking. AWS Transit Gateway is widely used for multi-region architectures, hybrid cloud, and enterprise networking.

https://aws.amazon.com/transit-gateway/

Amazon Sumerian was launched in 2017. It is a service for creating and running 3D, augmented reality (AR), and virtual reality (VR) applications. Sumerian offers a browser-based editor and supports devices like Oculus Rift and HTC Vive.

The service integrates with Amazon Polly for speech and Amazon Lex for conversational interfaces. Amazon Sumerian is widely used in training simulations, virtual showrooms, and interactive media.

https://aws.amazon.com/sumerian/

AWS Cloud Map was launched in 2018. It is a service discovery tool that allows applications to dynamically map resources such as databases, queues, and microservices. Cloud Map ensures that services can reliably locate resources during runtime.

The service integrates with Amazon ECS, AWS App Mesh, and AWS Lambda for enhanced observability. AWS Cloud Map is widely used for microservices architectures, dynamic scaling, and service discovery.

https://aws.amazon.com/cloud-map/

Amazon Elastic Transcoder was launched in 2013. It is a media transcoding service that converts video and audio files into formats optimized for playback on multiple devices. Elastic Transcoder simplifies the process of media processing with pre-configured settings for popular output formats.

The service integrates with Amazon S3 for input and output storage and Amazon CloudFront for content delivery. Amazon Elastic Transcoder is widely used for video streaming, media distribution, and content optimization.

https://aws.amazon.com/elastictranscoder/

Amazon SageMaker was introduced in 2017. It is a fully managed machine learning (ML) service that provides tools to build, train, and deploy ML models at scale. SageMaker includes features like AutoML, data labeling, and hyperparameter tuning to simplify the entire ML workflow.

The service integrates with Amazon S3, AWS Lambda, and Amazon QuickSight for data preparation, inference, and visualization. Amazon SageMaker is widely used for predictive analytics, computer vision, and natural language processing.

https://aws.amazon.com/sagemaker/

Amazon AppFlow was launched in 2020. It is a fully managed integration service that enables data transfer between AWS services and third-party SaaS applications. AppFlow simplifies data synchronization without the need for custom coding.

The service integrates with Amazon S3, Amazon Redshift, and Salesforce for secure and scalable workflows. Amazon AppFlow is widely used for data integration, business intelligence, and workflow automation.

https://aws.amazon.com/appflow/

AWS Firewall Manager was introduced in 2018. It simplifies the deployment and management of network protection services like AWS Web Application Firewall (WAF), AWS Shield Advanced, and AWS Network Firewall. Firewall Manager ensures centralized policy enforcement across accounts.

The service integrates with AWS Organizations and AWS Security Hub for compliance and monitoring. AWS Firewall Manager is widely used for security governance, threat protection, and web application security.

https://aws.amazon.com/firewall-manager/

AWS Cloud9 was launched in 2017. It is a cloud-based integrated development environment (IDE) that allows users to write, run, and debug code directly in their browser. Cloud9 supports multiple programming languages and provides collaborative development tools.

The service integrates with AWS Lambda and AWS CodePipeline for serverless development and CI/CD workflows. AWS Cloud9 is widely used for web development, cloud-native application development, and educational projects.

https://aws.amazon.com/cloud9/

Amazon Fraud Detector was introduced in 2020. It is a managed service that uses machine learning to identify potentially fraudulent activities, such as payment fraud or account takeovers. Fraud Detector simplifies the creation and deployment of custom fraud detection models.

The service integrates with Amazon S3, Amazon CloudWatch, and AWS Lambda for data processing and monitoring. Amazon Fraud Detector is widely used in financial services, e-commerce, and gaming.

https://aws.amazon.com/fraud-detector/

AWS CodeBuild was launched in 2016. It is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages. CodeBuild eliminates the need to manage and scale build servers.

The service integrates with AWS CodePipeline, AWS CodeCommit, and AWS CodeDeploy for end-to-end CI/CD workflows. AWS CodeBuild is widely used for automated testing, build automation, and software delivery pipelines.

https://aws.amazon.com/codebuild/

Amazon Managed Streaming for Apache Kafka (MSK) was introduced in 2019. It is a fully managed service that simplifies the setup and operation of Apache Kafka clusters. MSK enables secure and scalable real-time data streaming.

The service integrates with Amazon S3, Amazon Redshift, and AWS Lambda for data processing and analytics workflows. Amazon MSK is widely used in event-driven architectures, real-time analytics, and stream processing.

https://aws.amazon.com/msk/

AWS Elemental MediaTailor was launched in 2017. It is a content personalization and monetization service that enables targeted ad insertion into streaming video. MediaTailor delivers seamless ad experiences with low latency and high reliability.

The service integrates with Amazon CloudFront for content delivery and Amazon S3 for storage. AWS Elemental MediaTailor is widely used in OTT platforms, digital advertising, and video streaming services.

https://aws.amazon.com/mediatailor/

Amazon Kendra was introduced in 2019. It is an intelligent search service powered by machine learning that provides highly accurate search results from unstructured and structured data. Kendra supports natural language queries and custom relevance tuning.

The service integrates with Amazon S3, SharePoint, and Salesforce for seamless data indexing. Amazon Kendra is widely used in enterprise search, document management, and customer support systems.

https://aws.amazon.com/kendra/

AWS DeepRacer was launched in 2018. It is an autonomous racing car designed to teach developers about reinforcement learning. DeepRacer provides a fun and hands-on approach to learning complex machine learning concepts.

The service integrates with Amazon SageMaker for model training and AWS RoboMaker for simulation environments. AWS DeepRacer is widely used in education, hackathons, and ML training programs.

https://aws.amazon.com/deepracer/

AWS Service Catalog was launched in 2015. It enables organizations to create and manage catalogs of approved IT services, including virtual machines, databases, and multi-tier applications. Service Catalog ensures that users can only deploy resources that comply with company policies.

The service integrates with AWS CloudFormation for provisioning and AWS Organizations for centralized governance. AWS Service Catalog is widely used for IT governance, resource standardization, and compliance enforcement.

https://aws.amazon.com/servicecatalog/

AWS Data Pipeline was launched in 2012. It is a fully managed service that helps process and move data between different AWS services or on-premises data sources. Data Pipeline supports scheduled workflows for ETL (Extract, Transform, Load), data processing, and analytics.

The service integrates with Amazon S3, Amazon RDS, and Amazon Redshift to automate complex data workflows. AWS Data Pipeline is widely used for data transformation, data migration, and workflow automation.

https://aws.amazon.com/datapipeline/

Amazon Elastic Inference was introduced in 2018. It allows users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and Amazon SageMaker instances. Elastic Inference reduces the cost of running machine learning (ML) inference by optimizing GPU usage.

The service integrates with popular frameworks like TensorFlow, PyTorch, and Apache MXNet. Amazon Elastic Inference is widely used in real-time inference, speech recognition, and image processing.

https://aws.amazon.com/elastic-inference/

AWS Thinkbox was acquired in 2017. It is a suite of tools for media and design applications, enabling efficient rendering, simulation, and visual effects production. Thinkbox includes tools like Deadline for render management and Krakatoa for particle rendering.

The service integrates with Amazon EC2 for scalable compute power and Amazon S3 for storage. AWS Thinkbox is widely used in film production, visual effects, and 3D rendering.

https://aws.amazon.com/thinkbox/

Amazon Lex was launched in 2017. It is a service for building conversational interfaces using voice and text. Lex uses natural language understanding (NLU) and automatic speech recognition (ASR) to create chatbots and voice assistants.

The service integrates with AWS Lambda for custom business logic and Amazon Polly for text-to-speech synthesis. Amazon Lex is widely used for customer support, virtual assistants, and voice-enabled applications.

https://aws.amazon.com/lex/

AWS Batch was introduced in 2016. It is a fully managed service for scheduling and executing batch computing workloads. Batch dynamically provisions the optimal compute resources based on the volume and requirements of submitted jobs.

The service integrates with Amazon ECS, Amazon EKS, and AWS Lambda for scalable processing. AWS Batch is widely used for data processing, scientific simulations, and machine learning model training.

https://aws.amazon.com/batch/

AWS Ground Station was launched in 2019. It is a fully managed service that enables users to control satellite communications and process satellite data. Ground Station eliminates the need to build and operate ground station infrastructure, reducing costs and complexity.

The service integrates with Amazon S3 for data storage and Amazon SageMaker for satellite data analysis. AWS Ground Station is widely used in telecommunications, earth observation, and weather monitoring.

https://aws.amazon.com/ground-station/

AWS Nitro Enclaves were introduced in 2020. They provide isolated, secure environments for processing sensitive data. Nitro Enclaves ensure that even administrators and root users cannot access data inside an enclave, enhancing security.

The service integrates with AWS Key Management Service (KMS) for encryption and AWS Certificate Manager for managing secure connections. AWS Nitro Enclaves are widely used in financial services, healthcare, and data privacy applications.

https://aws.amazon.com/ec2/nitro/nitro-enclaves/

Amazon Elastic File System (EFS) was launched in 2016. It is a fully managed file storage service that provides scalable and elastic file systems for Amazon EC2 instances. EFS supports Network File System (NFS) protocols and offers low-latency access for shared storage.

The service integrates with AWS Backup for automated protection and Amazon CloudWatch for monitoring. Amazon EFS is widely used in content management, web hosting, and big data analytics.

https://aws.amazon.com/efs/

AWS Amplify was launched in 2018. It is a comprehensive development platform for building full-stack web and mobile applications. Amplify simplifies backend development by providing tools for authentication, storage, and API management.

The service integrates with AWS AppSync, Amazon Cognito, and AWS Lambda for seamless application workflows. AWS Amplify is widely used for serverless applications, mobile development, and prototyping.

https://aws.amazon.com/amplify/

Amazon Textract was launched in 2019. It is a machine learning service that extracts text, handwriting, and data from scanned documents. Unlike traditional OCR software, Textract understands the context and structure of forms and tables, enabling seamless data extraction.

The service integrates with Amazon S3 for storing processed files and AWS Lambda for automated workflows. Amazon Textract is widely used in document processing, compliance auditing, and data extraction applications.

https://aws.amazon.com/textract/

Amazon Managed Workflows for Apache Airflow (MWAA) was introduced in 2020. It is a fully managed service for deploying and running workflows built on Apache Airflow. MWAA simplifies workflow orchestration by automating the infrastructure setup.

The service integrates with Amazon S3, AWS Lambda, and Amazon Redshift to create complex data pipelines. Amazon MWAA is widely used for ETL workflows, data engineering, and analytics pipelines.

https://aws.amazon.com/mwaa/

AWS IoT Core was launched in 2015. It is a managed service that enables secure and scalable communication between IoT devices and the cloud. IoT Core supports MQTT and HTTP protocols for real-time communication and device management.

The service integrates with AWS Lambda, Amazon S3, and Amazon DynamoDB for processing and storing device-generated data. AWS IoT Core is widely used in smart home automation, connected cars, and industrial IoT solutions.

https://aws.amazon.com/iot-core/

Amazon Polly was launched in 2016. It is a text-to-speech service that converts text into lifelike speech using advanced machine learning techniques. Polly supports multiple languages and voices, enabling businesses to create engaging audio content.

The service integrates with Amazon S3 for audio storage and AWS Lambda for dynamic text-to-speech generation. Amazon Polly is widely used in e-learning, audiobook production, and customer interaction systems.

https://aws.amazon.com/polly/

AWS Savings Plans were introduced in 2019. They offer a flexible pricing model that provides significant cost savings for using AWS compute services like Amazon EC2 and AWS Lambda. Savings Plans allow customers to commit to consistent usage over a set period for discounted rates.

The service integrates with AWS Cost Explorer to analyze and optimize cost commitments. AWS Savings Plans are widely adopted for cost optimization and budget management.

https://aws.amazon.com/savingsplans/

Amazon CodeWhisperer was launched in 2022. It is an AI-powered coding companion that provides real-time code recommendations to developers. CodeWhisperer supports multiple programming languages and integrates with popular IDEs to improve productivity.

The service integrates with AWS Cloud9 and other developer tools to streamline coding workflows. Amazon CodeWhisperer is widely used for software development, code automation, and developer productivity.

https://aws.amazon.com/codewhisperer/

Amazon Simple Queue Service (SQS) was launched in 2004. It is a fully managed message queuing service that enables decoupled communication between microservices, distributed systems, and serverless applications. SQS supports standard and FIFO queues for different use cases.

The service integrates with AWS Lambda, Amazon SNS, and Amazon ECS for event-driven architectures. Amazon SQS is widely used for message queuing, asynchronous workflows, and load buffering.

https://aws.amazon.com/sqs/

AWS Elemental MediaConnect was launched in 2018. It is a reliable transport service for live video, enabling secure and high-quality streaming workflows. MediaConnect supports real-time video contribution and distribution.

The service integrates with AWS Elemental MediaLive and Amazon CloudFront for end-to-end media workflows. AWS Elemental MediaConnect is widely used in live broadcasting, content distribution, and video production.

https://aws.amazon.com/mediaconnect/

AWS Glue DataBrew was introduced in 2020. It is a visual data preparation tool that allows users to clean and normalize data without writing code. DataBrew simplifies data preparation tasks like removing duplicates and handling missing values.

The service integrates with AWS Glue, Amazon S3, and Amazon Redshift for comprehensive data workflows. AWS Glue DataBrew is widely used in data cleaning, ETL, and analytics preparation.

https://aws.amazon.com/databrew/

AWS Application Migration Service (MGN) was launched in 2021. It simplifies the process of migrating on-premises servers and applications to the AWS cloud. MGN provides real-time replication and automated rehosting of applications with minimal downtime.

The service integrates with Amazon EC2, AWS Elastic Load Balancer, and AWS CloudFormation for seamless migration workflows. AWS Application Migration Service is widely used in data center migration, disaster recovery, and cloud modernization.

https://aws.amazon.com/application-migration-service/

Amazon Comprehend was launched in 2018. It is a natural language processing (NLP) service that uses machine learning to extract insights from text, including sentiment, entities, and key phrases. Comprehend can analyze both structured and unstructured data, enabling deeper analysis of written content.

The service integrates with Amazon S3 for data storage and AWS Lambda for processing workflows. Amazon Comprehend is widely used in customer sentiment analysis, document classification, and text analytics.

https://aws.amazon.com/comprehend/

AWS Resilience Hub was introduced in 2021. It is a service that helps organizations assess and improve the resilience of their AWS applications. Resilience Hub provides recommendations for disaster recovery, high availability, and fault tolerance based on application architecture.

The service integrates with AWS CloudFormation, Amazon CloudWatch, and AWS Backup to automate recovery processes and improve reliability. AWS Resilience Hub is widely used in business continuity planning and disaster recovery planning.

https://aws.amazon.com/resilience-hub/

Amazon GuardDuty was launched in 2017. It is a threat detection service that continuously monitors and analyzes activity across your AWS environment to detect potential security risks. GuardDuty uses machine learning, anomaly detection, and integrated threat intelligence.

The service integrates with AWS Security Hub and Amazon CloudWatch for central management and alerting. Amazon GuardDuty is widely used for security monitoring, threat detection, and intrusion prevention.

https://aws.amazon.com/guardduty/

AWS CodePipeline was launched in 2015. It is a continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deploy phases of application development. CodePipeline helps streamline development workflows with minimal manual intervention.

The service integrates with AWS CodeBuild, AWS CodeDeploy, and GitHub for comprehensive deployment pipelines. AWS CodePipeline is widely used in DevOps automation, agile development, and software delivery.

https://aws.amazon.com/codepipeline/

AWS Elastic Disaster Recovery (DRS) was introduced in 2021. It is a fully managed service that enables organizations to replicate and recover their on-premises or cloud-based applications on AWS in the event of a disaster. DRS provides fast failover and recovery with minimal downtime.

The service integrates with Amazon EC2, Amazon VPC, and AWS CloudFormation for recovery and scaling. AWS Elastic Disaster Recovery is widely used for business continuity, disaster recovery, and system resilience.

https://aws.amazon.com/disaster-recovery/

AWS CodeArtifact was launched in 2020. It is a fully managed artifact repository service that allows organizations to securely store and share software packages. CodeArtifact supports popular package formats like npm, Maven, and PyPI.

The service integrates with AWS CodeBuild and AWS CodePipeline for end-to-end software development workflows. AWS CodeArtifact is widely used in dependency management, software versioning, and development automation.

https://aws.amazon.com/codeartifact/

Amazon Simple Workflow Service (SWF) was launched in 2012. It is a task coordination service for building scalable distributed applications. SWF ensures reliable execution of workflows, including long-running and sequential tasks.

The service integrates with AWS Lambda, Amazon EC2, and Amazon S3 for comprehensive task management. Amazon SWF is widely used in business process automation, data processing workflows, and application orchestration.

https://aws.amazon.com/swf/

AWS Trusted Advisor was introduced in 2013. It is a tool that provides best practice recommendations to help optimize AWS environments for performance, security, and cost-efficiency. Trusted Advisor covers areas like fault tolerance and resource utilization.

The service integrates with AWS Organizations for centralized management and reporting across accounts. AWS Trusted Advisor is widely used in cloud optimization, security auditing, and cost management.

https://aws.amazon.com/premiumsupport/technology/trusted-advisor/

Amazon Elastic Container Registry (ECR) was launched in 2015. It is a fully managed container registry that simplifies storing, managing, and deploying container images. ECR ensures secure and scalable storage for containerized applications.

The service integrates with Amazon ECS, Amazon EKS, and AWS Fargate for seamless container orchestration. Amazon ECR is widely used in microservices, CI/CD pipelines, and containerized applications.

https://aws.amazon.com/ecr/

Amazon CloudFront was introduced in 2008. It is a global content delivery network (CDN) that delivers data, videos, and applications securely with low latency. CloudFront accelerates content delivery through its network of edge locations worldwide.

The service integrates with Amazon S3, Elastic Load Balancing, and AWS Shield for enhanced performance and security. Amazon CloudFront is widely used in website acceleration, video streaming, and API caching.

https://aws.amazon.com/cloudfront/

AWS Glue Elastic Views was introduced in 2020. It enables users to build real-time, materialized views from data stored in multiple sources. Elastic Views uses SQL to combine and transform data across databases, data lakes, and other repositories.

The service integrates with Amazon DynamoDB, Amazon RDS, and Amazon S3 for seamless data aggregation and querying. AWS Glue Elastic Views is widely used for real-time dashboards, data synchronization, and stream analytics.

https://aws.amazon.com/glue/elastic-views/

Amazon OpenSearch Service (formerly Amazon Elasticsearch Service) was rebranded in 2021. It is a fully managed service that provides capabilities for indexing, searching, and analyzing log data and other unstructured datasets. OpenSearch Service supports real-time analytics for operational monitoring.

The service integrates with Amazon CloudWatch, AWS Lambda, and Amazon S3 for data ingestion and visualization. Amazon OpenSearch Service is widely used for log analytics, security monitoring, and application search.

https://aws.amazon.com/opensearch-service/

Amazon RDS Proxy was launched in 2020. It is a fully managed, highly available database proxy that improves the scalability and security of Amazon RDS databases. RDS Proxy reduces the overhead of connection management in serverless applications.

The service integrates with AWS Lambda for serverless workflows and supports MySQL and PostgreSQL engines. Amazon RDS Proxy is widely used for scalable web applications, multi-tenant systems, and API backends.

https://aws.amazon.com/rds/proxy/

AWS Health Dashboard was launched in 2017. It provides a personalized view of the health of AWS services, regions, and resources. Health Dashboard delivers proactive notifications about outages and maintenance events affecting user workloads.

The service integrates with Amazon CloudWatch and AWS Trusted Advisor for detailed monitoring and recommendations. AWS Health Dashboard is widely used in incident management, resource monitoring, and service continuity.

https://aws.amazon.com/premiumsupport/technology/aws-health-dashboard/

Amazon EventBridge was launched in 2019. It is a serverless event bus that enables event-driven architectures by connecting applications using AWS services, SaaS providers, or custom applications. EventBridge simplifies the creation of workflows based on event triggers.

The service integrates with AWS Lambda, Amazon SQS, and Amazon SNS for seamless event processing. Amazon EventBridge is widely used in real-time data processing, automation workflows, and application integration.

https://aws.amazon.com/eventbridge/

AWS Panorama was introduced in 2020. It is a machine learning-enabled device for running computer vision applications at the edge. Panorama enables businesses to analyze video streams locally, reducing latency and bandwidth costs.

The service integrates with Amazon SageMaker for training models and AWS IoT Greengrass for edge deployments. AWS Panorama is widely used in industrial monitoring, smart retail, and security analytics.

https://aws.amazon.com/panorama/

Amazon Redshift ML was launched in 2021. It brings machine learning capabilities to Amazon Redshift by enabling users to build and deploy ML models directly using SQL commands. Redshift ML integrates seamlessly with Amazon SageMaker for model training.

The service allows businesses to make predictions and apply ML to big data analytics without requiring ML expertise. Amazon Redshift ML is widely used in predictive analytics, customer segmentation, and sales forecasting.

https://aws.amazon.com/redshift/machine-learning/

AWS IoT TwinMaker was introduced in 2021. It helps developers create digital twins of physical systems to monitor and optimize operations. TwinMaker uses data from multiple sources, including IoT sensors and business applications, to build a virtual representation of real-world systems.

The service integrates with AWS IoT Core, Amazon S3, and Amazon QuickSight for visualization and analytics. AWS IoT TwinMaker is widely used in industrial automation, smart factories, and system simulations.

https://aws.amazon.com/iot-twinmaker/

AWS Systems Manager was launched in 2017. It is a fully managed service that provides operational insights and automates administrative tasks for AWS resources. Systems Manager includes features like Patch Manager, Run Command, and State Manager.

The service integrates with Amazon EC2, AWS CloudWatch, and AWS IAM for seamless management and compliance. AWS Systems Manager is widely used for infrastructure monitoring, configuration management, and patch automation.

https://aws.amazon.com/systems-manager/

AWS OpsWorks for Puppet Enterprise was launched in 2017. It is a managed service that automates infrastructure provisioning and configuration using Puppet. OpsWorks provides a simplified way to manage servers and software across hybrid environments.

The service integrates with AWS IAM for role-based access and Amazon EC2 for instance management. AWS OpsWorks for Puppet Enterprise is widely used in DevOps workflows, server configuration, and infrastructure automation.

https://aws.amazon.com/opsworks/puppetenterprise/

Amazon Location Service was introduced in 2020. It is a fully managed service that helps developers add location-based features to their applications. Location Service provides APIs for geocoding, routing, maps, and tracking.

The service integrates with Amazon S3 for storing location data and AWS IoT Core for tracking devices in real time. Amazon Location Service is widely used for fleet management, asset tracking, and location-aware applications.

https://aws.amazon.com/location/

AWS Proton was launched in 2020. It is a fully managed service for deploying and managing modern application infrastructure. Proton simplifies the provisioning and maintenance of serverless and container-based applications by providing pre-defined templates.

The service integrates with AWS CodePipeline, AWS CloudFormation, and AWS Fargate for automated deployments. AWS Proton is widely used for microservices and DevOps workflows.

https://aws.amazon.com/proton/

AWS App Runner was introduced in 2021. It is a fully managed service that enables developers to deploy and run scalable web applications and APIs without managing infrastructure. App Runner automatically builds and deploys containerized applications from source code or container images.

The service integrates with Amazon ECR, AWS Lambda, and Amazon CloudWatch for streamlined workflows. AWS App Runner is widely used for serverless applications, API hosting, and modern web applications.

https://aws.amazon.com/apprunner/

AWS Outposts was launched in 2019. It brings the same AWS infrastructure, services, and APIs to on-premises environments, enabling a hybrid cloud experience. Outposts allows users to run workloads locally while seamlessly integrating with the AWS cloud.

The service integrates with Amazon RDS, Amazon ECS, and Amazon EBS for comprehensive on-premises solutions. AWS Outposts is widely used in industries like manufacturing, healthcare, and financial services.

https://aws.amazon.com/outposts/

Amazon Rekognition Custom Labels was launched in 2020. It is an extension of Amazon Rekognition that enables users to train custom machine learning models for specific image recognition use cases. Custom Labels allows businesses to identify objects or scenes unique to their operations.

The service integrates with Amazon S3 for image storage and Amazon SageMaker for training models. Amazon Rekognition Custom Labels is widely used in industrial quality control, brand recognition, and inventory management.

https://aws.amazon.com/rekognition/custom-labels/

AWS CloudShell was launched in 2020. It is a browser-based shell environment that provides secure, pre-authenticated access to AWS CLI and development tools. CloudShell allows developers to manage and interact with their AWS resources directly from the console.

The service integrates with AWS Identity and Access Management (IAM) for secure access and supports multiple scripting languages. AWS CloudShell is widely used for cloud resource management, developer workflows, and automation scripts.

https://aws.amazon.com/cloudshell/

Amazon Elastic Kubernetes Service (EKS) was introduced in 2018. It is a fully managed Kubernetes service that simplifies deploying and managing containerized applications. EKS ensures high availability and security for Kubernetes clusters.

The service integrates with AWS Fargate for serverless operations and AWS IAM for secure role-based access. Amazon EKS is widely used in microservices architecture, container orchestration, and scalable application hosting.

https://aws.amazon.com/eks/

Amazon Elastic Load Balancing (ELB) was launched in 2009. It is a fully managed service that automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances and AWS Lambda functions. ELB supports Application Load Balancer (ALB), Network Load Balancer (NLB), and Gateway Load Balancer (GLB).

The service integrates with Amazon CloudWatch for monitoring and AWS Auto Scaling for elasticity. Amazon ELB is widely used for high availability, fault tolerance, and load distribution.

https://aws.amazon.com/elasticloadbalancing/

AWS CodeStar was launched in 2017. It provides a unified user interface for managing software development projects on AWS. CodeStar integrates tools like AWS CodePipeline, AWS CodeCommit, and AWS CodeBuild for end-to-end development workflows.

The service enables faster project setup with pre-configured templates and role-based permissions. AWS CodeStar is widely used for agile development, continuous integration, and team collaboration.

https://aws.amazon.com/codestar/

Amazon Elastic Transcoder was launched in 2013. It is a media transcoding service designed to convert video and audio files into formats optimized for playback on various devices. Elastic Transcoder provides pre-configured settings for common output formats.

The service integrates with Amazon S3 for input and output storage and Amazon CloudFront for global delivery. Amazon Elastic Transcoder is widely used in video streaming, content distribution, and media processing workflows.

https://aws.amazon.com/elastictranscoder/

AWS ThinkBox Deadline was introduced in 2017. It is a render management service that supports high-performance computing workloads for visual effects and animation. Deadline allows artists and developers to manage compute resources efficiently for rendering, simulation, and processing tasks.

The service integrates with Amazon EC2 for scalable compute power and Amazon S3 for storing render assets. AWS ThinkBox Deadline is widely used in film production, gaming, and visual effects workflows.

https://aws.amazon.com/thinkbox/deadline/

AWS IoT FleetWise was launched in 2021. It is a managed service that enables automotive companies to collect, transform, and transfer vehicle data to the cloud. FleetWise helps optimize vehicle operations, maintenance, and fleet management.

The service integrates with AWS IoT Core, Amazon S3, and Amazon SageMaker for analytics and predictive maintenance. AWS IoT FleetWise is widely used in connected vehicles, fleet analytics, and automotive data pipelines.

https://aws.amazon.com/iot-fleetwise/

AWS Elemental MediaLive was launched in 2017. It is a live video processing service that encodes broadcast-grade video streams for distribution to viewers. MediaLive supports adaptive bitrate formats and is optimized for real-time streaming workflows.

The service integrates with Amazon CloudFront for content delivery and AWS Elemental MediaConnect for reliable video transport. AWS Elemental MediaLive is widely used in live broadcasting, sports streaming, and event coverage.

https://aws.amazon.com/medialive/

Amazon Augmented AI (A2I) was introduced in 2019. It is a service that makes it easy to integrate human review into machine learning workflows for tasks like data labeling and sensitive decision-making. A2I allows businesses to define when and how human input is required.

The service integrates with Amazon SageMaker for ML workflows and Amazon S3 for storing reviewed data. Amazon A2I is widely used in document processing, content moderation, and data validation.

https://aws.amazon.com/augmented-ai/

Amazon MemoryDB for Redis was launched in 2021. It is a fully managed, in-memory database service built on Redis. MemoryDB is designed for high-performance, low-latency applications requiring durability and scalability.

The service integrates with AWS Identity and Access Management (IAM) for secure access and Amazon CloudWatch for monitoring. Amazon MemoryDB is widely used in gaming leaderboards, real-time analytics, and session management.

https://aws.amazon.com/memorydb/

AWS Fault Injection Simulator was launched in 2021. It is a fully managed service for running controlled chaos engineering experiments. Fault Injection Simulator helps identify weaknesses in distributed systems by injecting faults into applications.

The service integrates with Amazon CloudWatch for monitoring and AWS CloudFormation for configuring test environments. AWS Fault Injection Simulator is widely used for resilience testing, fault tolerance validation, and chaos engineering.

https://aws.amazon.com/fault-injection-simulator/

AWS IoT Greengrass was launched in 2017. It enables local compute, messaging, and data caching for IoT devices. Greengrass allows devices to run machine learning models, process data locally, and operate offline.

The service integrates with AWS Lambda for edge computing and Amazon S3 for storing IoT data. AWS IoT Greengrass is widely used in industrial automation, smart home systems, and IoT edge computing.

https://aws.amazon.com/greengrass/

Amazon Aurora Serverless was introduced in 2018. It is an on-demand, auto-scaling configuration for Amazon Aurora that automatically adjusts capacity based on application needs. Aurora Serverless eliminates the need to provision and manage database instances.

The service integrates with Amazon RDS Proxy for optimized connection management and AWS Lambda for serverless application development. Amazon Aurora Serverless is widely used for variable workloads, development environments, and burstable applications.

https://aws.amazon.com/rds/aurora/serverless/

AWS Service Quotas was launched in 2019. It enables users to view and manage their service limits across AWS resources. Service Quotas provides tools for requesting limit increases and monitoring quota usage.

The service integrates with AWS CloudWatch for alerting and AWS Organizations for multi-account management. AWS Service Quotas is widely used for resource planning, scaling management, and service optimization.

https://aws.amazon.com/servicequotas/

Amazon Managed Grafana was launched in 2021. It is a fully managed service that enables users to visualize and analyze operational data using Grafana. Managed Grafana supports integrations with multiple data sources for centralized monitoring.

The service integrates with Amazon CloudWatch, Amazon Elasticsearch Service, and AWS IoT SiteWise for comprehensive observability. Amazon Managed Grafana is widely used for infrastructure monitoring, IoT analytics, and application performance management.

https://aws.amazon.com/grafana/

AWS RoboMaker was launched in 2018. It is a fully managed service that simplifies the development, testing, and deployment of robotics applications. RoboMaker provides simulation environments and supports the Robot Operating System (ROS) framework.

The service integrates with AWS Lambda for event-driven automation and Amazon S3 for storing simulation data. AWS RoboMaker is widely used in autonomous vehicles, robotic process automation, and industrial robotics.

https://aws.amazon.com/robomaker/

AWS Migration Hub was introduced in 2017. It provides a unified interface for tracking the progress of application migrations across multiple AWS tools and services. Migration Hub simplifies the migration process by consolidating status updates in one place.

The service integrates with AWS Database Migration Service (DMS) and AWS Server Migration Service (SMS) to support a variety of migration workflows. AWS Migration Hub is widely used in data center migrations, cloud modernization, and hybrid cloud setups.

https://aws.amazon.com/migration-hub/

Amazon Elastic Disaster Recovery (DRS) was introduced in 2021. It is a fully managed service that enables replication and failover of on-premises and cloud-based applications. DRS provides near-real-time data replication with minimal impact on performance.

The service integrates with Amazon EC2 for recovery environments and AWS CloudFormation for orchestrating disaster recovery workflows. Amazon DRS is widely used in business continuity, disaster recovery, and high availability architectures.

https://aws.amazon.com/disaster-recovery/

AWS Elastic File System (EFS) One Zone was launched in 2021. It is a cost-optimized option for Amazon EFS designed for workloads that do not require multi-AZ replication. EFS One Zone offers lower costs while maintaining the performance of standard EFS.

The service integrates with AWS Backup for automated data protection and Amazon EC2 for shared access. AWS EFS One Zone is widely used in development environments, content management, and file-based applications.

https://aws.amazon.com/efs/one-zone/

AWS IoT Button was launched in 2016. It is a programmable button that connects to AWS IoT Core and allows developers to trigger events or workflows with a single click. IoT Button is designed for prototyping and enabling IoT use cases.

The service integrates with AWS Lambda for executing functions and Amazon SNS for sending alerts. AWS IoT Button is widely used in home automation, inventory management, and custom IoT applications.

https://aws.amazon.com/iotbutton/

AWS OpsWorks Stacks was launched in 2013. It is a configuration management service that uses Chef to automate server setup, deployment, and scaling. OpsWorks Stacks supports custom application architectures for both cloud and on-premises environments.

The service integrates with Amazon EC2, Amazon RDS, and Amazon S3 to provide flexible deployment options. AWS OpsWorks Stacks is widely used in DevOps workflows, server configuration, and scalable application deployment.

https://aws.amazon.com/opsworks/stacks/

Amazon AppStream 2.0 was introduced in 2016. It is a fully managed service that delivers virtualized desktop applications to users via a web browser. AppStream 2.0 eliminates the need for local installations, enabling secure, scalable access.

The service integrates with Amazon S3 for storing user data and AWS Directory Service for managing user access. Amazon AppStream 2.0 is widely used in education, remote work, and application virtualization.

https://aws.amazon.com/appstream2/

AWS Step Functions Express Workflows were introduced in 2019. They are a cost-effective option within AWS Step Functions for orchestrating high-volume, short-duration workflows. Express Workflows provide low-latency execution for event-driven applications.

The service integrates with AWS Lambda, Amazon S3, and Amazon DynamoDB for seamless automation. Step Functions Express Workflows are widely used in data processing pipelines, streaming data workflows, and real-time applications.

https://aws.amazon.com/step-functions/

AWS Amplify Hosting was launched in 2018. It is a fully managed service for deploying and hosting web applications with integrated CI/CD pipelines. Amplify Hosting supports modern frameworks like React, Angular, and Vue.

The service integrates with AWS Lambda for backend logic and Amazon S3 for static asset storage. AWS Amplify Hosting is widely used in single-page applications, serverless architectures, and rapid prototyping.

https://aws.amazon.com/amplify/hosting/

Amazon SageMaker Clarify was introduced in 2020. It is an extension of Amazon SageMaker that helps detect bias and improve explainability in machine learning models. Clarify ensures transparency by analyzing data and models for fairness.

The service integrates with Amazon S3 for data storage and Amazon CloudWatch for monitoring. Amazon SageMaker Clarify is widely used in AI ethics, regulatory compliance, and model explainability.

https://aws.amazon.com/sagemaker/clarify/

Amazon Neptune ML was introduced in 2020. It extends Amazon Neptune by providing machine learning capabilities for graph databases. Neptune ML uses Deep Graph Library (DGL) to build and train models for predicting relationships and properties in graph data.

The service integrates with Amazon S3 for storing datasets and Amazon SageMaker for training and deploying ML models. Amazon Neptune ML is widely used in knowledge graphs, recommendation systems, and fraud detection.

https://aws.amazon.com/neptune/machine-learning/

AWS Elemental MediaConvert Accelerated Transcoding was introduced in 2021. It enables faster processing of high-resolution video files, including 4K and HDR content, by leveraging GPU-based resources. Accelerated Transcoding reduces time-to-market for media projects.

The service integrates with Amazon S3 for input/output storage and Amazon CloudFront for global distribution. MediaConvert Accelerated Transcoding is widely used in media production, broadcasting, and video streaming.

https://aws.amazon.com/mediaconvert/

AWS IoT TwinMaker Scene Composer was launched in 2022. It is a feature of AWS IoT TwinMaker that simplifies the creation of 3D digital twin environments. Scene Composer allows developers to visualize operational data and build interactive digital twin dashboards.

The service integrates with Amazon S3 for storing 3D assets and Amazon QuickSight for analytics visualization. AWS IoT TwinMaker Scene Composer is widely used in smart factories, industrial automation, and real-time monitoring.

https://aws.amazon.com/iot-twinmaker/

Amazon Connect Wisdom was introduced in 2021. It enhances Amazon Connect by providing customer service agents with contextual information and insights during interactions. Connect Wisdom integrates knowledge bases and real-time analytics to improve customer experiences.

The service integrates with Amazon Comprehend for analyzing customer sentiment and Amazon S3 for storing knowledge articles. Amazon Connect Wisdom is widely used in customer support centers, help desk automation, and contact center optimization.

https://aws.amazon.com/connect/wisdom/

AWS App Mesh Gateway was launched in 2021. It is an extension of AWS App Mesh that simplifies the management of ingress traffic for microservices architectures. App Mesh Gateway provides centralized traffic control and routing.

The service integrates with Amazon EKS, AWS Fargate, and Amazon ECS for containerized applications. AWS App Mesh Gateway is widely used in service discovery, API management, and distributed systems.

https://aws.amazon.com/app-mesh/

Amazon DynamoDB On-Demand Backup and Restore was launched in 2018. It provides the ability to create full backups of DynamoDB tables without affecting application performance. On-Demand Backup ensures data durability and recovery in disaster scenarios.

The service integrates with AWS Backup for centralized management and compliance. DynamoDB On-Demand Backup is widely used in business continuity planning, disaster recovery, and data archival.

https://aws.amazon.com/dynamodb/backup-restore/

AWS Global Accelerator Endpoint Groups were introduced in 2018. They allow users to improve the availability and performance of applications by routing traffic to specific regions or endpoints. Endpoint Groups enable fine-grained traffic management.

The service integrates with Elastic Load Balancers, Amazon EC2, and Amazon CloudFront for global reach. AWS Global Accelerator Endpoint Groups are widely used in multi-region deployments, high availability architectures, and low-latency applications.

https://aws.amazon.com/global-accelerator/

AWS Glue Streaming ETL was introduced in 2020. It is a feature of AWS Glue that enables real-time data processing and transformation from streaming sources. Streaming ETL simplifies ingesting and analyzing streaming data for operational insights.

The service integrates with Amazon Kinesis, Amazon S3, and Amazon Redshift for real-time analytics. AWS Glue Streaming ETL is widely used in streaming analytics, IoT data processing, and event-driven workflows.

https://aws.amazon.com/glue/

Amazon Location Service Tracker was launched in 2021. It is a feature of Amazon Location Service that enables tracking and monitoring of devices or assets in real-time. Tracker provides APIs for location updates and geofencing.

The service integrates with AWS IoT Core for device telemetry and Amazon S3 for storing location data. Amazon Location Service Tracker is widely used in fleet management, logistics, and asset tracking.

https://aws.amazon.com/location/

AWS IoT SiteWise Edge was introduced in 2020. It is a feature of AWS IoT SiteWise that allows industrial customers to process and analyze data locally on edge devices. SiteWise Edge ensures low-latency insights and offline operation.

The service integrates with AWS IoT Greengrass for edge computing and Amazon S3 for long-term storage. AWS IoT SiteWise Edge is widely used in industrial automation, smart manufacturing, and predictive maintenance.

https://aws.amazon.com/iot-sitewise/edge/

Amazon Managed Blockchain was launched in 2019. It is a fully managed service that simplifies the creation and operation of scalable blockchain networks using frameworks like Hyperledger Fabric and Ethereum. Managed Blockchain supports secure and transparent data sharing among multiple parties.

The service integrates with AWS Key Management Service (KMS) for encryption and Amazon CloudWatch for monitoring. Amazon Managed Blockchain is widely used in supply chain management, financial services, and decentralized applications.

https://aws.amazon.com/managed-blockchain/

AWS CodeGuru was introduced in 2020. It is a developer tool powered by machine learning that provides code reviews and application performance recommendations. CodeGuru identifies security vulnerabilities, inefficiencies, and best practice violations.

The service integrates with AWS CodeCommit for source code analysis and Amazon CloudWatch for runtime profiling. AWS CodeGuru is widely used in secure coding practices, performance optimization, and developer productivity.

https://aws.amazon.com/codeguru/

Amazon Simple Workflow Service (SWF) Step Decider is an advanced feature of SWF launched in 2015. It helps in building modular, reusable workflow logic for long-running tasks. Step Decider allows for dynamic decision-making during workflow execution.

The service integrates with AWS Lambda for automated task execution and Amazon S3 for workflow state tracking. SWF Step Decider is widely used in business process automation, data processing, and stateful workflows.

https://aws.amazon.com/swf/

Amazon SageMaker Autopilot was introduced in 2019. It automates the process of building, training, and tuning machine learning models while allowing full visibility into the process. Autopilot simplifies ML workflows without compromising customization options.

The service integrates with Amazon S3 for data storage and Amazon SageMaker Studio for detailed model analysis. Amazon SageMaker Autopilot is widely used in predictive analytics, data-driven insights, and rapid ML prototyping.

https://aws.amazon.com/sagemaker/autopilot/

AWS Elastic Load Balancing (ELB) Gateway Load Balancer was launched in 2020. It provides transparent network traffic distribution for third-party appliances. Gateway Load Balancer combines load balancing with traffic inspection.

The service integrates with AWS Firewall Manager and Amazon CloudWatch for centralized security and monitoring. ELB Gateway Load Balancer is widely used in network security, high availability architectures, and traffic inspection workflows.

https://aws.amazon.com/elasticloadbalancing/

AWS IoT Device Defender Audit Manager was launched in 2020. It is a feature of AWS IoT Device Defender that helps users automate the auditing of IoT configurations against security best practices. Audit Manager ensures compliance by continuously monitoring device policies.

The service integrates with AWS Security Hub and Amazon CloudWatch for centralized alerting and visibility. AWS IoT Device Defender Audit Manager is widely used in IoT security, policy compliance, and device management.

https://aws.amazon.com/iot-device-defender/

Amazon EMR Studio was introduced in 2020. It is an integrated development environment for big data processing and analysis using Apache Spark and Jupyter Notebooks. EMR Studio enables collaborative workflows for data scientists and engineers.

The service integrates with Amazon S3 for input/output storage and AWS Glue for metadata cataloging. Amazon EMR Studio is widely used in data analytics, machine learning workflows, and real-time data processing.

https://aws.amazon.com/emr/

Amazon VPC Lattice was launched in 2022. It provides application-layer networking capabilities to securely connect services across Amazon VPCs and accounts. VPC Lattice simplifies service-to-service communication with built-in observability.

The service integrates with Amazon CloudWatch for traffic monitoring and AWS Identity and Access Management (IAM) for secure access control. Amazon VPC Lattice is widely used in microservices architectures, hybrid cloud, and service mesh deployments.

https://aws.amazon.com/vpc/

AWS Backup Audit Manager was launched in 2021. It helps organizations monitor and evaluate their AWS Backup activities to ensure compliance with regulatory standards. Audit Manager provides pre-built frameworks and automated reporting tools.

The service integrates with AWS Config and AWS Organizations for centralized compliance management. AWS Backup Audit Manager is widely used in data protection, compliance reporting, and disaster recovery planning.

https://aws.amazon.com/backup/audit-manager/

AWS IoT Core for LoRaWAN was introduced in 2020. It enables customers to connect and manage LoRaWAN devices using AWS IoT Core. IoT Core for LoRaWAN simplifies the deployment of long-range, low-power IoT networks.

The service integrates with AWS IoT Analytics and Amazon S3 for device data processing and storage. AWS IoT Core for LoRaWAN is widely used in agriculture, smart cities, and industrial IoT solutions.

https://aws.amazon.com/iot-core/lorawan/

AWS Glue Data Quality was introduced in 2022. It provides automated data quality checks within AWS Glue workflows. Data Quality enables users to define, monitor, and enforce quality standards for datasets to ensure accuracy and reliability.

The service integrates with Amazon S3 and Amazon Redshift for quality assurance across diverse data sources. AWS Glue Data Quality is widely used in data lake management, ETL workflows, and compliance reporting.

https://aws.amazon.com/glue/data-quality/

Amazon Verified Permissions was launched in 2022. It provides fine-grained access control to resources and applications by defining policies using the Cedar policy language. Verified Permissions simplifies access management for complex authorization scenarios.

The service integrates with Amazon Cognito for identity management and AWS IAM for centralizing permissions. Amazon Verified Permissions is widely used in zero-trust architectures, application security, and policy management.

https://aws.amazon.com/verified-permissions/

AWS Wickr was introduced in 2021. It is a secure collaboration service designed for encrypted messaging, voice, and video communication. Wickr provides end-to-end encryption and secure file sharing, ensuring privacy for sensitive communications.

The service integrates with AWS Key Management Service (KMS) for encryption and Amazon S3 for secure file storage. AWS Wickr is widely used in government communication, corporate collaboration, and secure messaging platforms.

https://aws.amazon.com/wickr/

AWS Snow Family Edge Compute was launched in 2020. It extends the capabilities of the AWS Snow Family by enabling local compute and storage for edge workloads. Edge Compute supports running containerized applications on devices like AWS Snowcone and AWS Snowball Edge.

The service integrates with AWS IoT Greengrass for edge processing and Amazon S3 for data synchronization. AWS Snow Family Edge Compute is widely used in remote operations, edge analytics, and disconnected environments.

https://aws.amazon.com/snow/

Amazon Detective Findings Groups was introduced in 2022. It enhances Amazon Detective by grouping related security findings to simplify investigation and analysis. Findings Groups uses machine learning to identify connections between events.

The service integrates with AWS Security Hub and Amazon GuardDuty for comprehensive threat detection and response. Amazon Detective Findings Groups is widely used in incident response, security operations, and root cause analysis.

https://aws.amazon.com/detective/

AWS Local Zones were introduced in 2019. They bring compute, storage, and networking services closer to end-users for applications requiring ultra-low latency. Local Zones extend AWS regions by providing resources in specific geographic areas.

The service integrates with Amazon EC2, Amazon RDS, and AWS Direct Connect for hybrid workloads. AWS Local Zones are widely used in gaming, media production, and real-time applications.

https://aws.amazon.com/local-zones/

Amazon AppStream Fleet Management was launched in 2021. It extends Amazon AppStream 2.0 by offering advanced tools to manage application streaming fleets. Fleet Management enables auto-scaling and improved monitoring of virtual application delivery.

The service integrates with Amazon CloudWatch for fleet metrics and AWS IAM for access control. Amazon AppStream Fleet Management is widely used in remote work, education, and application hosting.

https://aws.amazon.com/appstream2/

Amazon Connect Cases was introduced in 2022. It is an add-on for Amazon Connect that helps track, manage, and resolve customer issues more efficiently. Cases centralizes customer interactions and automates workflows to streamline support.

The service integrates with Amazon S3 for case data storage and Amazon Comprehend for sentiment analysis. Amazon Connect Cases is widely used in customer service, ticketing systems, and contact center optimization.

https://aws.amazon.com/connect/cases/

Amazon SageMaker JumpStart was introduced in 2021. It accelerates the adoption of machine learning by providing pre-built models, algorithms, and end-to-end ML solutions. JumpStart helps users quickly experiment and deploy solutions.

The service integrates with Amazon S3 for storing training datasets and Amazon SageMaker Studio for customizing workflows. Amazon SageMaker JumpStart is widely used in predictive modeling, ML experimentation, and industry-specific ML applications.

https://aws.amazon.com/sagemaker/jumpstart/

AWS Private 5G was launched in 2021. It is a fully managed service that allows organizations to deploy, operate, and scale private 5G mobile networks. Private 5G ensures secure and reliable connectivity for on-premises applications and devices.

The service integrates with AWS Identity and Access Management (IAM) for controlling network access and Amazon S3 for storing network data. AWS Private 5G is widely used in industrial IoT, smart factories, and edge computing.

https://aws.amazon.com/private5g/

Amazon EMR Serverless was introduced in 2022. It is a serverless option for Amazon EMR that automatically scales resources for big data applications. EMR Serverless supports frameworks like Apache Spark and Hive, eliminating the need to provision clusters.

The service integrates with Amazon S3 for storage and AWS Glue for metadata cataloging. Amazon EMR Serverless is widely used for data analytics, ETL workflows, and real-time data processing.

https://aws.amazon.com/emr/serverless/

AWS HealthOmics was launched in 2022. It is a fully managed service designed for storing, analyzing, and sharing omics data such as DNA and RNA sequences. HealthOmics accelerates research by integrating compute and analytics tools for genomic data.

The service integrates with Amazon S3 for data storage and Amazon SageMaker for building analytics workflows. AWS HealthOmics is widely used in genomics, healthcare research, and precision medicine.

https://aws.amazon.com/healthomics/

AWS IoT ExpressLink was introduced in 2022. It is a hardware module that simplifies the process of connecting IoT devices to AWS IoT Core. ExpressLink provides built-in security and eliminates the need for advanced networking expertise.

The service integrates with Amazon S3 for storing IoT data and AWS IoT Device Management for device monitoring. AWS IoT ExpressLink is widely used in smart appliances, industrial IoT, and connected devices.

https://aws.amazon.com/iot-expresslink/

Amazon FSx for OpenZFS was launched in 2021. It is a fully managed file storage service built on OpenZFS, providing high performance and scalability. FSx for OpenZFS supports dynamic scaling and advanced features like snapshots and compression.

The service integrates with AWS Backup for automated protection and Amazon EC2 for application hosting. Amazon FSx for OpenZFS is widely used in media processing, analytics workloads, and software development.

https://aws.amazon.com/fsx/openzfs/

Amazon EC2 Spot Instances with Hibernate was introduced in 2020. It allows interrupted Spot Instances to save their in-memory state, enabling a seamless restart when the instance is resumed. Hibernate reduces startup time and improves efficiency for intermittent workloads.

The service integrates with Amazon EBS for persistent storage and Amazon CloudWatch for monitoring. EC2 Spot Instances with Hibernate are widely used in cost-optimized computing, batch processing, and dynamic workloads.

https://aws.amazon.com/ec2/spot/

AWS Transfer Family for Amazon S3 and Amazon EFS was launched in 2018. It enables secure file transfers using protocols like SFTP, FTPS, and FTP directly into Amazon S3 and Amazon EFS. Transfer Family simplifies integrating legacy applications with cloud storage.

The service integrates with AWS Identity and Access Management (IAM) for secure access and Amazon CloudWatch for monitoring. AWS Transfer Family is widely used in data migration, file sharing, and integration with legacy systems.

https://aws.amazon.com/aws-transfer-family/

AWS Clean Rooms was introduced in 2022. It is a fully managed service that enables secure collaboration between multiple parties to analyze and process shared datasets without exposing raw data. Clean Rooms ensure privacy through encryption and access control.

The service integrates with AWS Identity and Access Management (IAM) and AWS Glue for managing data sources. AWS Clean Rooms are widely used in marketing analytics, data collaboration, and privacy-preserving computations.

https://aws.amazon.com/clean-rooms/

Amazon Elastic Fabric Adapter (EFA) was launched in 2019. It is a network interface designed for Amazon EC2 instances that require low-latency and high-throughput networking for HPC applications. EFA supports tightly coupled parallel workloads like simulations and ML training.

The service integrates with Amazon EC2 and AWS Batch for scalable processing. Amazon EFA is widely used in high-performance computing, finite element analysis, and scientific simulations.

https://aws.amazon.com/efa/

Amazon CodeCatalyst was launched in 2022. It is a unified software development and delivery service that provides pre-configured workflows, issue tracking, and CI/CD pipelines. CodeCatalyst simplifies collaboration and accelerates software delivery.

The service integrates with AWS CodePipeline, AWS CodeCommit, and Amazon CloudWatch for end-to-end development workflows. Amazon CodeCatalyst is widely used in team collaboration, agile development, and automated software delivery.

https://aws.amazon.com/codecatalyst/

AWS IoT SiteWise Asset Modeling was introduced in 2021. It enables users to define and manage digital representations of physical assets in AWS IoT SiteWise. Asset Modeling simplifies monitoring and analysis of industrial equipment.

The service integrates with Amazon S3 for data storage and Amazon QuickSight for visualizing metrics. AWS IoT SiteWise Asset Modeling is widely used in industrial automation, smart factories, and predictive maintenance.

https://aws.amazon.com/iot-sitewise/asset-modeling/

Amazon Security Lake was launched in 2022. It is a fully managed service that centralizes security data from across your organization into a dedicated data lake. Security Lake enables efficient querying and analysis for threat detection and compliance.

The service integrates with Amazon S3 for data storage and AWS Security Hub for threat detection. Amazon Security Lake is widely used in cybersecurity, incident response, and regulatory compliance.

https://aws.amazon.com/security-lake/

AWS Step Functions Workflow Collections were introduced in 2022. This feature allows developers to create and share reusable workflow templates for Step Functions. Workflow Collections simplify the orchestration of common processes across applications.

The service integrates with AWS Lambda for event-driven workflows and Amazon S3 for storing workflow data. AWS Step Functions Workflow Collections are widely used in process automation, data pipelines, and application orchestration.

https://aws.amazon.com/step-functions/

Amazon Kinesis Video Streams WebRTC was launched in 2019. It enables real-time streaming and interaction through the WebRTC protocol. Kinesis Video Streams WebRTC is designed for applications like video chat, online gaming, and IoT video applications.

The service integrates with AWS IoT Core for device communication and Amazon S3 for video storage. Kinesis Video Streams WebRTC is widely used in live video applications, teleconferencing, and interactive streaming.

https://aws.amazon.com/kinesis/video-streams/

Amazon DevOps Guru was introduced in 2020. It uses machine learning to identify and provide recommendations for resolving operational issues in applications. DevOps Guru monitors metrics, logs, and events to detect anomalies and prevent downtime.

The service integrates with Amazon CloudWatch for observability and AWS Lambda for remediation workflows. Amazon DevOps Guru is widely used in site reliability engineering (SRE), incident management, and DevOps automation.

https://aws.amazon.com/devops-guru/

AWS IoT Core Device Location was launched in 2021. It enables IoT devices to provide real-time geolocation data without requiring additional hardware like GPS. Device Location leverages Wi-Fi scanning and cellular triangulation for accurate positioning.

The service integrates with Amazon Location Service for mapping and Amazon S3 for data storage. AWS IoT Core Device Location is widely used in asset tracking, smart logistics, and location-aware IoT applications.

https://aws.amazon.com/iot-core/

Amazon Omics Data Analysis Pipelines were introduced in 2022. This feature of AWS HealthOmics provides pre-built workflows for processing genomic, transcriptomic, and other omics data. Data Analysis Pipelines accelerate the interpretation of biological datasets.

The service integrates with Amazon S3 for storing results and Amazon SageMaker for downstream analytics. Amazon Omics Data Analysis Pipelines are widely used in genomics research, bioinformatics, and healthcare innovation.

https://aws.amazon.com/omics/

AWS Private Certificate Authority (CA) was launched in 2018. It allows organizations to create and manage private certificates for their internal applications and services. Private CA enhances security by ensuring only trusted certificates are used.

The service integrates with AWS Certificate Manager for certificate distribution and AWS Identity and Access Management (IAM) for secure access control. AWS Private CA is widely used in internal communications, IoT device management, and secure application deployments.

https://aws.amazon.com/certificate-manager/private-ca/

Amazon Connect Forecasting was introduced in 2022. It is an extension of Amazon Connect that uses machine learning to predict contact volumes for contact centers. Forecasting optimizes resource allocation by predicting future call and interaction volumes.

The service integrates with Amazon SageMaker for model training and Amazon S3 for storing forecast data. Amazon Connect Forecasting is widely used in contact center management, workforce optimization, and customer experience enhancement.

https://aws.amazon.com/connect/forecasting/

AWS Mainframe Modernization was launched in 2022. It provides tools and services to migrate, transform, and modernize mainframe workloads to the AWS cloud. Mainframe Modernization supports both re-platforming and refactoring options for legacy applications.

The service integrates with Amazon EC2 for scalable compute and AWS CloudFormation for automated provisioning. AWS Mainframe Modernization is widely used in digital transformation, legacy application migration, and hybrid cloud deployments.

https://aws.amazon.com/mainframe-modernization/

AWS Elastic Disaster Recovery Automation was introduced in 2021. It extends AWS Elastic Disaster Recovery by providing pre-built scripts and templates for automating failover and failback processes. Disaster Recovery Automation ensures faster recovery times with minimal manual intervention.

The service integrates with Amazon CloudWatch for monitoring and AWS Lambda for triggering automated workflows. AWS Elastic Disaster Recovery Automation is widely used in business continuity planning, disaster preparedness, and system resilience.

https://aws.amazon.com/disaster-recovery/automation/

Amazon CodeWhisperer was launched in 2022. It is an AI-powered coding assistant that provides real-time code suggestions and best practices to developers. CodeWhisperer supports multiple programming languages and IDE integrations to boost productivity.

The service integrates with AWS Cloud9 and Amazon CodeCommit for seamless development workflows. Amazon CodeWhisperer is widely used in software development, code review, and developer tooling.

https://aws.amazon.com/codewhisperer/

AWS Elastic Beanstalk Command Line Interface (EB CLI) was introduced in 2015. It is a tool that simplifies the management of AWS Elastic Beanstalk applications from the command line. EB CLI enables developers to deploy, monitor, and update applications with minimal effort.

The service integrates with Amazon S3 for application storage and AWS IAM for access control. AWS EB CLI is widely used in application deployment, DevOps automation, and environment management.

https://aws.amazon.com/elasticbeanstalk/

Amazon S3 Glacier Instant Retrieval was launched in 2021. It is a storage class within Amazon S3 Glacier that provides low-cost, long-term storage with milliseconds retrieval times. Instant Retrieval is ideal for archive data that requires frequent access.

The service integrates with Amazon CloudWatch for monitoring and AWS Backup for data protection. Amazon S3 Glacier Instant Retrieval is widely used in data archiving, regulatory compliance, and backup solutions.

https://aws.amazon.com/s3/

AWS SimSpace Weaver was launched in 2022. It is a simulation service that enables large-scale spatial simulations for scenarios such as smart cities, digital twins, and gaming environments. SimSpace Weaver simplifies the deployment of simulations across multiple nodes.

The service integrates with Amazon EC2 for scalable compute and Amazon S3 for simulation data storage. AWS SimSpace Weaver is widely used in urban planning, disaster response modeling, and virtual environments.

https://aws.amazon.com/simspace-weaver/

AWS AppConfig Extensions were introduced in 2021. They provide additional functionality for AWS AppConfig, allowing developers to integrate feature flags, dynamic configuration changes, and custom validation logic into their applications.

The service integrates with AWS Lambda for custom logic and Amazon CloudWatch for monitoring. AWS AppConfig Extensions are widely used in feature management, application configuration, and agile development.

https://aws.amazon.com/appconfig/

Amazon Redshift Data Sharing was launched in 2021. It allows secure, real-time sharing of data across Amazon Redshift clusters without duplicating or moving data. Data Sharing simplifies collaboration while maintaining data consistency.

The service integrates with Amazon S3 for external data sources and AWS Glue for data cataloging. Amazon Redshift Data Sharing is widely used in data collaboration, business intelligence, and analytics.

https://aws.amazon.com/redshift/

AWS Resilience Hub Fault Injection Scenarios were introduced in 2022. This feature extends AWS Resilience Hub by enabling fault injection experiments to test application resilience. Fault Injection Scenarios help validate disaster recovery plans.

The service integrates with AWS CloudFormation for environment setup and Amazon CloudWatch for monitoring. AWS Resilience Hub Fault Injection Scenarios are widely used in chaos engineering, system reliability testing, and resilience planning.

https://aws.amazon.com/resilience-hub/

Amazon SageMaker Model Registry was introduced in 2021. It is a repository within Amazon SageMaker that simplifies the tracking and management of machine learning models. Model Registry provides versioning, approvals, and monitoring for deployed models.

The service integrates with Amazon S3 for storing model artifacts and Amazon SageMaker Pipelines for automation. Amazon SageMaker Model Registry is widely used in ML lifecycle management, model governance, and deployment workflows.

https://aws.amazon.com/sagemaker/

AWS Marketplace for Containers was launched in 2018. It provides a catalog of pre-configured containerized applications that can be deployed directly to Amazon ECS, Amazon EKS, or AWS Fargate. Marketplace for Containers simplifies the adoption of third-party software.

The service integrates with Amazon ECR for image storage and AWS CloudFormation for automated deployments. AWS Marketplace for Containers is widely used in microservices architectures, third-party integrations, and container orchestration.

https://aws.amazon.com/marketplace/

Amazon Athena User Defined Functions (UDFs) were introduced in 2021. This feature allows users to write custom functions in AWS Lambda for processing data within Athena queries. UDFs enable advanced analytics and data transformations.

The service integrates with Amazon S3 for data storage and AWS Glue for metadata management. Amazon Athena UDFs are widely used in custom analytics workflows, data transformation, and query optimization.

https://aws.amazon.com/athena/

AWS Elastic Disaster Recovery (DRS) Orchestration was introduced in 2022. This feature extends AWS DRS by automating failover and failback operations for disaster recovery scenarios. Orchestration streamlines recovery processes, reducing downtime and complexity.

The service integrates with AWS CloudFormation for environment replication and Amazon CloudWatch for performance monitoring. AWS DRS Orchestration is widely used in disaster recovery planning, business continuity, and system resilience.

https://aws.amazon.com/disaster-recovery/

Amazon VPC Reachability Analyzer was launched in 2020. It helps diagnose and troubleshoot connectivity issues within Amazon VPC by simulating traffic paths between resources. Reachability Analyzer identifies misconfigurations and ensures reliable network setups.

The service integrates with AWS CloudTrail for logging changes and Amazon CloudWatch for monitoring network traffic. Amazon VPC Reachability Analyzer is widely used in network troubleshooting, security audits, and connectivity validation.

https://aws.amazon.com/vpc/

AWS Glue Data Integration for Amazon Redshift was introduced in 2021. It simplifies the process of connecting and moving data between AWS Glue and Amazon Redshift. Data Integration enhances ETL workflows for analytics and reporting.

The service integrates with Amazon S3 for data staging and AWS Glue Studio for visual workflows. AWS Glue Data Integration is widely used in data lakes, data warehousing, and business intelligence.

https://aws.amazon.com/glue/

Amazon S3 Object Lambda was launched in 2021. It allows users to customize the retrieval of objects from Amazon S3 using AWS Lambda functions. Object Lambda enables dynamic transformations like redacting sensitive data or resizing images.

The service integrates with Amazon CloudWatch for monitoring and AWS IAM for access control. Amazon S3 Object Lambda is widely used in data transformation, content delivery, and secure data processing.

https://aws.amazon.com/s3/

Amazon RDS Performance Insights for Amazon Aurora was launched in 2018. It provides advanced database monitoring and analytics for Amazon Aurora instances. Performance Insights helps identify bottlenecks and optimize database performance.

The service integrates with Amazon CloudWatch for metric visualization and AWS Lambda for automated responses. Amazon RDS Performance Insights is widely used in database optimization, query tuning, and capacity planning.

https://aws.amazon.com/rds/performance-insights/

AWS IoT FleetHub was launched in 2020. It is a feature of AWS IoT Device Management that provides a centralized dashboard for monitoring and managing IoT fleets. FleetHub enables real-time visibility into device metrics and health.

The service integrates with Amazon CloudWatch for monitoring and AWS IoT Core for device communication. AWS IoT FleetHub is widely used in fleet management, IoT monitoring, and device lifecycle management.

https://aws.amazon.com/iot-device-management/

Amazon Connect Voice ID was introduced in 2021. It uses machine learning to provide real-time caller authentication based on unique voice characteristics. Voice ID enhances security while reducing friction in customer interactions.

The service integrates with Amazon S3 for storing voice recordings and Amazon CloudWatch for monitoring authentication metrics. Amazon Connect Voice ID is widely used in call center authentication, fraud prevention, and customer experience enhancement.

https://aws.amazon.com/connect/

AWS Backup Vault Lock was introduced in 2021. It provides immutable protection for backup data stored in AWS Backup. Vault Lock ensures that backups cannot be deleted or modified, meeting regulatory compliance standards.

The service integrates with Amazon S3 for long-term storage and AWS IAM for access control. AWS Backup Vault Lock is widely used in data protection, compliance reporting, and ransomware recovery.

https://aws.amazon.com/backup/

Amazon EKS Anywhere was launched in 2021. It enables customers to create and operate Kubernetes clusters on-premises using the same Amazon EKS tools and APIs. EKS Anywhere simplifies hybrid cloud deployments and management.

The service integrates with AWS IAM for role-based access and Amazon CloudWatch for cluster monitoring. Amazon EKS Anywhere is widely used in hybrid cloud, edge computing, and container orchestration.

https://aws.amazon.com/eks/anywhere/

Amazon S3 Batch Replication was introduced in 2022. It allows users to replicate existing objects across buckets or regions using automated workflows. Batch Replication simplifies the process of maintaining data consistency at scale.

The service integrates with Amazon S3 for data management and AWS CloudTrail for replication logging. Amazon S3 Batch Replication is widely used in multi-region applications, data redundancy, and compliance requirements.

https://aws.amazon.com/s3/

AWS Kinesis Data Analytics Studio was introduced in 2021. It provides an interactive development environment for real-time data processing using Apache Flink. Data Analytics Studio enables users to analyze streaming data and visualize results in real-time.

The service integrates with Amazon Kinesis Data Streams, Amazon S3, and Amazon Redshift for seamless data workflows. AWS Kinesis Data Analytics Studio is widely used in streaming analytics, real-time dashboards, and event-driven applications.

https://aws.amazon.com/kinesis/data-analytics/

AWS Control Tower Account Factory was launched in 2020. It simplifies the creation and configuration of new AWS accounts with pre-defined blueprints for security and governance. Account Factory ensures consistent compliance across multi-account environments.

The service integrates with AWS Organizations for account management and AWS IAM for secure access. AWS Control Tower Account Factory is widely used in multi-account setups, cloud governance, and security automation.

https://aws.amazon.com/control-tower/

Amazon DynamoDB Streams Enhanced Fan-Out was introduced in 2018. This feature enables high-throughput data streaming from DynamoDB Streams with dedicated consumer access. Enhanced Fan-Out ensures low-latency processing for concurrent applications.

The service integrates with AWS Lambda for event triggers and Amazon Kinesis Data Streams for additional data streaming capabilities. Amazon DynamoDB Streams Enhanced Fan-Out is widely used in real-time data processing, analytics workflows, and event-driven systems.

https://aws.amazon.com/dynamodb/streams/

Amazon SageMaker Feature Store was launched in 2020. It is a fully managed repository for storing, sharing, and managing machine learning features. Feature Store simplifies feature engineering and ensures consistency across training and inference workflows.

The service integrates with Amazon S3 for data storage and Amazon SageMaker Pipelines for workflow automation. Amazon SageMaker Feature Store is widely used in ML lifecycle management, predictive modeling, and data preprocessing.

https://aws.amazon.com/sagemaker/feature-store/

AWS Glue Cross-Account Data Sharing was introduced in 2021. This feature enables secure sharing of data catalogs across AWS accounts. Cross-Account Data Sharing eliminates duplication and simplifies collaboration in multi-account environments.

The service integrates with AWS Lake Formation for centralized permissions and Amazon S3 for storage. AWS Glue Cross-Account Data Sharing is widely used in data lakes, collaborative analytics, and multi-account workflows.

https://aws.amazon.com/glue/

Amazon Connect Agent Workspace was launched in 2021. It provides a unified interface for agents to access tools, customer information, and call controls within Amazon Connect. Agent Workspace enhances efficiency and improves customer interactions.

The service integrates with Amazon S3 for storing interaction records and Amazon Lex for conversational AI. Amazon Connect Agent Workspace is widely used in contact centers, customer support, and workforce optimization.

https://aws.amazon.com/connect/

Amazon OpenSearch Service UltraWarm was launched in 2020. It provides a cost-effective storage tier for infrequently accessed data in OpenSearch. UltraWarm reduces storage costs while retaining the ability to analyze large datasets.

The service integrates with Amazon S3 for storage and Amazon CloudWatch for monitoring. Amazon OpenSearch Service UltraWarm is widely used in log analytics, compliance archiving, and security monitoring.

https://aws.amazon.com/opensearch-service/

Amazon S3 Replication Time Control (RTC) was introduced in 2020. It provides predictable replication times for critical data stored in Amazon S3. RTC guarantees replication within 15 minutes for high-priority workloads.

The service integrates with Amazon CloudWatch for monitoring and AWS Backup for disaster recovery. Amazon S3 RTC is widely used in compliance workflows, data redundancy, and multi-region applications.

https://aws.amazon.com/s3/

AWS IoT Device Advisor was launched in 2021. It is a managed service that tests and validates IoT devices for compliance with AWS IoT Core standards. Device Advisor ensures interoperability and reliability for connected devices.

The service integrates with AWS IoT Greengrass for edge testing and Amazon S3 for storing test results. AWS IoT Device Advisor is widely used in device certification, quality assurance, and IoT development workflows.

https://aws.amazon.com/iot-device-advisor/

Amazon ECS Capacity Providers were introduced in 2019. They enable flexible and efficient scaling of Amazon ECS clusters by managing how tasks are placed on compute resources. Capacity Providers support both on-demand and spot instances.

The service integrates with AWS Auto Scaling for resource optimization and AWS Fargate for serverless container management. Amazon ECS Capacity Providers are widely used in container orchestration, cost optimization, and dynamic workloads.

https://aws.amazon.com/ecs/

AWS Cloud WAN was launched in 2021. It is a managed wide area networking service that simplifies connecting on-premises data centers, branch offices, and cloud resources. Cloud WAN provides a unified dashboard for network management and monitoring.

The service integrates with AWS Transit Gateway for routing and Amazon VPC for private networking. AWS Cloud WAN is widely used in enterprise networking, hybrid cloud, and global applications.

https://aws.amazon.com/cloud-wan/

Amazon Timestream Scheduled Queries were introduced in 2021. This feature of Amazon Timestream allows users to automate queries and store results for time-series analytics. Scheduled Queries simplify deriving insights from time-stamped data.

The service integrates with Amazon S3 for storing query results and Amazon QuickSight for visualization. Amazon Timestream Scheduled Queries are widely used in IoT analytics, system monitoring, and performance optimization.

https://aws.amazon.com/timestream/

AWS Wavelength was launched in 2020. It brings AWS infrastructure and services closer to end-users by embedding compute and storage capabilities within 5G networks. Wavelength reduces latency for applications requiring real-time processing.

The service integrates with Amazon EC2 and AWS Lambda for compute workloads. AWS Wavelength is widely used in edge computing, gaming, and augmented reality (AR) applications.

https://aws.amazon.com/wavelength/

AWS CloudFormation Guard was introduced in 2021. It is a policy-as-code tool that validates CloudFormation templates against predefined compliance rules. Guard ensures infrastructure deployments meet security and operational standards.

The service integrates with AWS Config for compliance tracking and AWS Lambda for automated policy enforcement. AWS CloudFormation Guard is widely used in infrastructure as code, compliance automation, and secure deployments.

https://aws.amazon.com/cloudformation/

Amazon EC2 Mac Instances were launched in 2020. They provide on-demand macOS environments for building, testing, and signing Apple applications. Mac Instances support CI/CD pipelines for iOS, macOS, watchOS, and tvOS apps.

The service integrates with Amazon S3 for storing build artifacts and AWS CodePipeline for automation. Amazon EC2 Mac Instances are widely used in app development, software testing, and mobile application deployment.

https://aws.amazon.com/ec2/mac-instances/

Amazon Rekognition Video Segment Detection was introduced in 2021. It detects segments like black frames, scene changes, and end credits in video content. Segment Detection simplifies video editing and content indexing workflows.

The service integrates with Amazon S3 for video storage and AWS Lambda for automated workflows. Amazon Rekognition Video Segment Detection is widely used in media production, content moderation, and video archiving.

https://aws.amazon.com/rekognition/

AWS IoT SiteWise Monitor was launched in 2020. It provides a fully managed web application for visualizing and monitoring industrial data. SiteWise Monitor simplifies building custom dashboards for operational insights.

The service integrates with Amazon S3 for storing data and Amazon QuickSight for advanced visualization. AWS IoT SiteWise Monitor is widely used in smart factories, industrial automation, and real-time analytics.

https://aws.amazon.com/iot-sitewise/

AWS App Mesh Virtual Gateways were introduced in 2021. They provide ingress control for managing external traffic to App Mesh environments. Virtual Gateways enhance service discovery and routing in microservices architectures.

The service integrates with Amazon ECS and Amazon EKS for container orchestration. AWS App Mesh Virtual Gateways are widely used in distributed systems, API management, and traffic control.

https://aws.amazon.com/app-mesh/

Amazon ElastiCache Global Datastore was launched in 2019. It provides a fully managed, globally distributed in-memory data store for Redis and Memcached. Global Datastore ensures low-latency access across multiple regions.

The service integrates with Amazon CloudWatch for monitoring and AWS Backup for data protection. Amazon ElastiCache Global Datastore is widely used in gaming leaderboards, real-time analytics, and session management.

https://aws.amazon.com/elasticache/

Amazon Athena Federated Query was introduced in 2020. It allows users to run SQL queries across multiple data sources, including on-premises databases and cloud services. Federated Query simplifies data analysis by eliminating the need to move data.

The service integrates with AWS Glue for metadata cataloging and Amazon QuickSight for visualization. Amazon Athena Federated Query is widely used in data federation, analytics workflows, and big data processing.

https://aws.amazon.com/athena/

Amazon S3 Event Notifications with Filtering was introduced in 2021. It allows users to define filters for specific events in Amazon S3, such as object creation or deletion. Event Notifications ensure targeted actions for workflows triggered by specific object keys or metadata.

The service integrates with AWS Lambda, Amazon SQS, and Amazon SNS for event handling. Amazon S3 Event Notifications with Filtering is widely used in event-driven architectures, data processing workflows, and automation.

https://aws.amazon.com/s3/

AWS Backup for Amazon S3 was launched in 2021. It enables users to manage and automate backups of data stored in Amazon S3 with centralized policies. Backup for S3 provides an additional layer of protection and recovery for critical data.

The service integrates with AWS Backup Vault for secure storage and AWS IAM for access control. AWS Backup for Amazon S3 is widely used in disaster recovery planning, compliance requirements, and data protection.

https://aws.amazon.com/backup/

Amazon Connect High-Volume Outbound Communications was launched in 2022. It extends Amazon Connect by enabling large-scale outbound campaigns for notifications, promotions, and surveys. High-Volume Outbound integrates with AI to enhance customer engagement.

The service integrates with Amazon Lex for conversational AI and Amazon S3 for interaction data storage. Amazon Connect High-Volume Outbound Communications is widely used in customer engagement, contact center management, and automated messaging.

https://aws.amazon.com/connect/

Amazon RDS Custom for SQL Server was introduced in 2021. It is a managed database service tailored for applications requiring custom configurations of Microsoft SQL Server. RDS Custom provides administrative access for running specialized workloads.

The service integrates with AWS Backup for data protection and Amazon CloudWatch for monitoring performance. Amazon RDS Custom for SQL Server is widely used in enterprise applications, custom database workloads, and legacy application migration.

https://aws.amazon.com/rds/custom/

AWS Snowcone SSD was launched in 2022. It is a variant of AWS Snowcone equipped with SSD storage for faster data transfer and edge processing. Snowcone SSD is ideal for scenarios requiring high-performance edge computing.

The service integrates with AWS IoT Greengrass for edge workloads and Amazon S3 for data synchronization. AWS Snowcone SSD is widely used in remote operations, data collection, and edge analytics.

https://aws.amazon.com/snowcone/

Amazon EC2 Auto Scaling Predictive Scaling was introduced in 2018. It uses machine learning to analyze historical data and predict future traffic patterns. Predictive Scaling optimizes resource allocation for high availability and cost efficiency.

The service integrates with Amazon CloudWatch for monitoring and AWS Lambda for custom scaling logic. Amazon EC2 Auto Scaling Predictive Scaling is widely used in e-commerce, dynamic applications, and traffic management.

https://aws.amazon.com/autoscaling/

Amazon Lex Automated Chatbot Builder was launched in 2022. It simplifies the process of creating conversational AI by automatically generating intents and sample utterances from user data. Automated Chatbot Builder accelerates chatbot deployment.

The service integrates with Amazon S3 for storing training data and AWS Lambda for implementing business logic. Amazon Lex Automated Chatbot Builder is widely used in customer support, virtual assistants, and chat automation.

https://aws.amazon.com/lex/

AWS IoT Core Multi-Account Registration was introduced in 2021. It enables IoT devices to securely connect to multiple AWS accounts using a single set of credentials. Multi-Account Registration simplifies fleet management across complex organizations.

The service integrates with AWS IoT Device Management and AWS IAM for secure access. AWS IoT Core Multi-Account Registration is widely used in multi-tenant environments, fleet management, and industrial IoT.

https://aws.amazon.com/iot-core/

Amazon Redshift RA3 Nodes with Managed Storage were introduced in 2019. These nodes allow customers to scale compute and storage independently. RA3 Nodes reduce costs for analytical workloads requiring large datasets.

The service integrates with Amazon S3 for managed storage and AWS Glue for data cataloging. Amazon Redshift RA3 Nodes are widely used in data warehousing, business intelligence, and big data analytics.

https://aws.amazon.com/redshift/

Amazon Detective Finding Groups for AWS Organizations was launched in 2022. It extends Amazon Detective by consolidating and correlating security findings across multiple accounts within AWS Organizations. Finding Groups simplifies threat investigation.

The service integrates with AWS Security Hub and Amazon CloudWatch for central monitoring. Amazon Detective Finding Groups are widely used in security operations, incident response, and multi-account environments.

https://aws.amazon.com/detective/

AWS IoT TwinMaker Scene Simulator was launched in 2022. It enhances AWS IoT TwinMaker by enabling the simulation of 3D scenes with real-time data. Scene Simulator allows developers to test and optimize digital twin applications in a controlled environment.

The service integrates with Amazon S3 for storing 3D assets and Amazon QuickSight for visualizing simulation results. AWS IoT TwinMaker Scene Simulator is widely used in smart city planning, industrial automation, and digital twin optimization.

https://aws.amazon.com/iot-twinmaker/

Amazon VPC Network Access Analyzer was launched in 2021. It helps users identify unintended network access configurations in Amazon VPC. Network Access Analyzer simplifies auditing and ensures secure access policies.

The service integrates with AWS Config for tracking changes and Amazon CloudWatch for monitoring traffic patterns. Amazon VPC Network Access Analyzer is widely used in network security, compliance audits, and access control management.

https://aws.amazon.com/vpc/

AWS IoT Core Fleet Indexing was launched in 2020. It provides a scalable way to organize, search, and manage metadata for IoT devices connected through AWS IoT Core. Fleet Indexing accelerates the management of large-scale IoT fleets.

The service integrates with Amazon CloudWatch for monitoring and AWS IoT Device Management for operational tasks. AWS IoT Core Fleet Indexing is widely used in fleet management, IoT device tracking, and metadata querying.

https://aws.amazon.com/iot-core/

Amazon FSx for NetApp ONTAP was launched in 2021. It is a fully managed file storage service that provides the features of NetApp ONTAP software, including snapshots, replication, and deduplication. FSx for NetApp ONTAP simplifies hybrid and multi-cloud storage.

The service integrates with AWS Backup for data protection and Amazon CloudWatch for monitoring. Amazon FSx for NetApp ONTAP is widely used in enterprise workloads, media processing, and file-based applications.

https://aws.amazon.com/fsx/netapp-ontap/

Amazon Connect Agent Workspace Real-Time Insights was introduced in 2022. It extends the Agent Workspace by providing real-time analytics and suggestions for customer interactions. Real-Time Insights improve call resolution and customer satisfaction.

The service integrates with Amazon Comprehend for sentiment analysis and Amazon S3 for storing interaction data. Amazon Connect Real-Time Insights are widely used in contact centers, customer support optimization, and AI-driven interactions.

https://aws.amazon.com/connect/

AWS Glue Elastic Views for Apache Iceberg was introduced in 2022. It provides real-time, materialized views for data stored in Apache Iceberg tables. Elastic Views simplify analytics by automatically synchronizing changes to source datasets.

The service integrates with Amazon S3 for storage and Amazon Athena for querying. AWS Glue Elastic Views for Apache Iceberg is widely used in data lakes, real-time analytics, and data transformation workflows.

https://aws.amazon.com/glue/

Amazon S3 Glacier Deep Archive Restore Speed Enhancement was introduced in 2021. It accelerates retrieval of archived data stored in Amazon S3 Glacier Deep Archive, reducing latency for high-priority restores. Restore Speed Enhancement is ideal for time-sensitive data access.

The service integrates with Amazon CloudWatch for tracking restore progress and AWS Backup for long-term data protection. Amazon S3 Glacier Deep Archive Restore Speed Enhancement is widely used in archiving, compliance requirements, and backup recovery.

https://aws.amazon.com/s3/

Amazon SageMaker Ground Truth Plus was launched in 2022. It is a fully managed data labeling service that reduces the effort of creating high-quality training datasets. Ground Truth Plus integrates humans-in-the-loop to ensure accuracy and efficiency.

The service integrates with Amazon S3 for data storage and Amazon SageMaker for training ML models. Amazon SageMaker Ground Truth Plus is widely used in computer vision, natural language processing, and data preparation workflows.

https://aws.amazon.com/sagemaker/ground-truth/

Amazon EC2 Image Builder Blueprints were launched in 2020. This feature of EC2 Image Builder allows users to define reusable templates for creating and managing AMIs (Amazon Machine Images). Blueprints simplify the process of maintaining consistent environments.

The service integrates with Amazon CloudWatch for tracking build progress and AWS IAM for access control. Amazon EC2 Image Builder Blueprints are widely used in infrastructure as code, cloud-native deployments, and automation workflows.

https://aws.amazon.com/image-builder/

AWS Security Hub Automated Response and Remediation was introduced in 2022. It provides predefined actions to automatically respond to security findings, improving incident response times. Automated Response and Remediation integrates with key AWS services for workflow automation.

The service integrates with AWS Lambda for executing remediations and Amazon CloudWatch for monitoring. AWS Security Hub Automated Response and Remediation is widely used in security automation, threat response, and compliance enforcement.

https://aws.amazon.com/security-hub/

AWS Cloud Control API was launched in 2021. It provides a standardized interface for creating, updating, and deleting cloud resources across AWS services. Cloud Control API simplifies resource management by enabling consistent tooling.

The service integrates with AWS CloudFormation for infrastructure as code and AWS SDKs for programmatic access. AWS Cloud Control API is widely used in automation workflows, DevOps practices, and multi-service integrations.

https://aws.amazon.com/cloudcontrolapi/

Amazon S3 Multi-Region Access Points were introduced in 2021. This feature provides a single global endpoint for accessing buckets across multiple regions, simplifying multi-region data workflows. Multi-Region Access Points optimize latency and resilience.

The service integrates with Amazon CloudWatch for monitoring and AWS Global Accelerator for routing traffic. Amazon S3 Multi-Region Access Points are widely used in global applications, content delivery, and data replication.

https://aws.amazon.com/s3/

Amazon MemoryDB Multi-AZ Failover was launched in 2022. It enhances Amazon MemoryDB with automatic failover across multiple availability zones, ensuring high availability and durability. Multi-AZ Failover supports mission-critical applications.

The service integrates with Amazon CloudWatch for monitoring and AWS Backup for data recovery. Amazon MemoryDB Multi-AZ Failover is widely used in real-time applications, gaming, and analytics workflows.

https://aws.amazon.com/memorydb/

Amazon RDS Proxy IAM Authentication was introduced in 2021. It enables Amazon RDS Proxy to authenticate users directly through AWS IAM, removing the need for database credentials. IAM Authentication improves security and simplifies user management.

The service integrates with AWS Secrets Manager for credential storage and Amazon CloudWatch for activity tracking. Amazon RDS Proxy IAM Authentication is widely used in serverless applications, multi-user systems, and security-sensitive workloads.

https://aws.amazon.com/rds/proxy/

Amazon EC2 Spot Placement Scores were launched in 2021. This feature provides insights into the availability of Spot Instances across AWS regions and instance types. Placement Scores help optimize capacity planning for cost-effective compute resources.

The service integrates with AWS Auto Scaling for dynamic scaling and Amazon CloudWatch for monitoring instance performance. Amazon EC2 Spot Placement Scores are widely used in cost optimization, batch processing, and data processing.

https://aws.amazon.com/ec2/spot/

AWS IoT Core Named Shadows were introduced in 2021. They extend the Device Shadow functionality of AWS IoT Core by allowing multiple named versions of a shadow for the same device. Named Shadows improve flexibility in IoT applications.

The service integrates with AWS IoT Device Management for fleet monitoring and Amazon S3 for storing IoT data. AWS IoT Core Named Shadows are widely used in device state management, IoT development, and smart devices.

https://aws.amazon.com/iot-core/

Amazon EMR on EKS was launched in 2020. It enables users to run Apache Spark and other big data frameworks on Amazon EKS, combining the scalability of EMR with containerized applications. EMR on EKS simplifies resource sharing across workloads.

The service integrates with Amazon S3 for data storage and AWS Glue for metadata management. Amazon EMR on EKS is widely used in big data analytics, machine learning, and data engineering.

https://aws.amazon.com/emr/eks/

Amazon Connect Outbound Campaigns were launched in 2022. This feature automates large-scale outbound communications via voice, SMS, and email from Amazon Connect. Outbound Campaigns simplify customer engagement workflows.

The service integrates with Amazon Lex for AI-driven interactions and Amazon S3 for campaign data storage. Amazon Connect Outbound Campaigns are widely used in customer engagement, survey distribution, and marketing outreach.

https://aws.amazon.com/connect/

AWS DataSync for Amazon FSx was introduced in 2020. It enables automated data transfers between on-premises storage systems and Amazon FSx file systems. DataSync accelerates migrations and hybrid storage setups.

The service integrates with Amazon S3 for data staging and AWS CloudWatch for transfer monitoring. AWS DataSync for Amazon FSx is widely used in data migration, hybrid cloud, and backup workflows.

https://aws.amazon.com/datasync/

AWS Lambda SnapStart was launched in 2022. It reduces the cold start latency for AWS Lambda functions by pre-initializing function environments. SnapStart accelerates performance for latency-sensitive applications.

The service integrates with Amazon CloudWatch for monitoring and AWS X-Ray for tracing application performance. AWS Lambda SnapStart is widely used in real-time APIs, event-driven applications, and serverless architectures.

https://aws.amazon.com/lambda/

Amazon CloudWatch Logs Insights Query Scheduler was introduced in 2021. It enables automated and recurring queries for analyzing log data stored in CloudWatch Logs. Query Scheduler helps identify trends and anomalies in real-time.

The service integrates with Amazon S3 for archiving query results and AWS Lambda for alerting workflows. CloudWatch Logs Insights Query Scheduler is widely used in log analytics, troubleshooting, and performance optimization.

https://aws.amazon.com/cloudwatch/

AWS Global Accelerator Failover Routing was launched in 2022. It provides failover capabilities by rerouting traffic to healthy endpoints during outages. Failover Routing ensures high availability for global applications.

The service integrates with Amazon CloudWatch for monitoring and AWS IAM for secure access control. AWS Global Accelerator Failover Routing is widely used in disaster recovery, multi-region setups, and traffic management.

https://aws.amazon.com/global-accelerator/

Amazon EKS Anywhere Curated Packages were introduced in 2022. These are pre-validated software components that simplify the deployment of Kubernetes applications on-premises. Curated Packages streamline operational tasks for EKS Anywhere.

The service integrates with Amazon S3 for artifact storage and AWS IAM for role-based access. Amazon EKS Anywhere Curated Packages are widely used in hybrid cloud, edge computing, and containerized applications.

https://aws.amazon.com/eks/

AWS Shield Advanced Adaptive Protection was launched in 2022. It enhances AWS Shield Advanced by automatically detecting and mitigating evolving DDoS attacks. Adaptive Protection improves response times for high-severity threats.

The service integrates with Amazon CloudFront for edge protection and AWS WAF for web application security. AWS Shield Advanced Adaptive Protection is widely used in cybersecurity, web application protection, and threat mitigation.

https://aws.amazon.com/shield/

Amazon SageMaker Edge Manager was launched in 2020. It provides tools for deploying and monitoring machine learning models on edge devices. Edge Manager ensures consistent performance and security across edge applications.

The service integrates with AWS IoT Greengrass for edge deployment and Amazon S3 for model storage. Amazon SageMaker Edge Manager is widely used in autonomous vehicles, smart devices, and industrial IoT.

https://aws.amazon.com/sagemaker/

Amazon EC2 Capacity Rebalancing was introduced in 2020. It automatically migrates workloads from at-risk Spot Instances to healthier ones, ensuring application stability. Capacity Rebalancing optimizes compute resource utilization.

The service integrates with AWS Auto Scaling for proactive scaling and Amazon CloudWatch for monitoring. Amazon EC2 Capacity Rebalancing is widely used in batch processing, data analytics, and high-performance computing.

https://aws.amazon.com/ec2/

Amazon AppStream Elastic Fleets were launched in 2021. They allow customers to scale virtual application streaming environments on demand. Elastic Fleets eliminate the need for managing dedicated fleets.

The service integrates with Amazon S3 for application storage and AWS Directory Service for user authentication. Amazon AppStream Elastic Fleets are widely used in education, remote work, and application delivery.

https://aws.amazon.com/appstream2/

Amazon OpenSearch Service Snapshot Management was introduced in 2021. It automates the creation, retention, and deletion of snapshots for OpenSearch domains. Snapshot Management simplifies data protection and disaster recovery.

The service integrates with Amazon S3 for snapshot storage and AWS IAM for access control. Amazon OpenSearch Service Snapshot Management is widely used in data archiving, backup workflows, and compliance reporting.

https://aws.amazon.com/opensearch-service/

AWS Glue Crawler Lake Formation Integration was launched in 2022. It enhances AWS Glue Crawlers by integrating with AWS Lake Formation for managing data access and security. Crawler Integration streamlines metadata discovery in secure data lakes.

The service integrates with Amazon S3 for storing datasets and AWS Glue Data Catalog for metadata management. AWS Glue Crawler Lake Formation Integration is widely used in data lakes, analytics workflows, and data governance.

https://aws.amazon.com/glue/

Amazon MQ for RabbitMQ was introduced in 2021. It is a managed message broker service supporting the RabbitMQ protocol. Amazon MQ for RabbitMQ simplifies the deployment and scaling of messaging systems.

The service integrates with Amazon S3 for storing message logs and Amazon CloudWatch for monitoring broker performance. Amazon MQ for RabbitMQ is widely used in event-driven architectures, asynchronous communication, and application messaging.