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Cloud Developer tools

List the competing alternatives in 1. AWS Developer tools, 2. Azure Developer tools, 3. GCP Developer tools, 4. IBM Cloud Developer tools, 6. IBM z Mainframe Developer tools, 7. Oracle Cloud Developer tools, 8. Kubernetes Developer tools, 9. VMWare Cloud Developer tools / Tanzu Developer tools, 10. Alibaba Cloud Developer tools, 11. DigitalOcean Developer tools, 12. Huawei Cloud Developer tools, 13. Tencent Cloud Developer tools, 14. On-Premises Data Center Developer tools using Open Source Cloud / Private Cloud Technologies. When you make a numbered list, precede the number with an asterisk and a space. Put a section heading for each paragraph. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Cloud platforms offer a wide range of developer tools designed to simplify coding, deployment, and management of applications. Here's an overview of developer tools available from various cloud providers and technologies.

```mediawiki

• AWS CodeCommit: A source control service
• AWS CodeBuild: A build service
• AWS CodeDeploy: An automated deployment service
• AWS CodePipeline: A continuous integration and continuous delivery service
• AWS Cloud9: A cloud-based integrated development environment (IDE)

• Azure DevOps Services: Offers Azure Pipelines, Azure Repos, Azure Boards, Azure Artifacts, and Azure Test Plans for end-to-end DevOps.
• Azure Developer Tools: A collection of tools and extensions for developing, testing, and managing Azure applications.
• Visual Studio Code: A free, lightweight code editor for cloud development.

• Cloud Source Repositories: A managed source control service that hosts private Git repositories.
• Cloud Build: A service that executes your builds on Google Cloud Platform.
• Cloud Deployment Manager: An infrastructure management service that automates the deployment of Google Cloud resources.

• IBM Cloud Continuous Delivery: Tools for building, testing, and deploying applications.
• IBM Cloud CLI: A command-line interface for managing IBM Cloud resources.
• Eclipse Orion Web IDE: A browser-based IDE for web development on IBM Cloud.

• Z Development and Test Environment: Provides a development and testing environment for IBM Z applications.
• IBM Developer for z/OS: An integrated development environment for z/OS application development.

• Oracle Cloud Developer Image: A pre-configured set of developer tools on a compute instance.
• Oracle Visual Builder: A visual development tool for creating web and mobile applications on Oracle Cloud.

• kubectl: The command-line tool for Kubernetes.
• Helm: A package manager for Kubernetes.
• Kompose: A tool to help developers move from Docker-compose to Kubernetes.

• Tanzu Application Service: A platform for building and running microservices and cloud-native applications.
• Tanzu Mission Control: Provides centralized management for securing, operating, and monitoring your Kubernetes infrastructure and modern applications.

• Alibaba Cloud CodePipeline: A continuous integration and continuous delivery service.
• Alibaba Cloud Toolkit: A plugin for popular IDEs for developing Alibaba Cloud applications.

• DigitalOcean API: Programmatically manage your Droplets and other resources.
• doctl: The official command-line interface for the DigitalOcean API.

• CloudIDE: A cloud-based integrated development environment.
• DevCloud: A one-stop DevOps platform.

• Cloud Development Kit for Tencent Cloud: A software development kit for defining cloud resources with familiar programming languages.
• Coding: A service that provides enterprise-level continuous integration/continuous delivery and DevOps solutions.

• GitLab: A complete CI/CD toolchain in a single application for on-premises installation.
• Jenkins: An open-source automation server that provides hundreds of plugins to support building, deploying, and automating any project.
• Ansible: An open-source automation tool for software provisioning, configuration management, and application deployment.

```

This overview highlights the diverse array of tools that cloud providers offer to support developers in building, deploying, and managing applications efficiently across various environments, including on-premises data centers utilizing open-source technologies.

Cloud Developer tools Best Practices

Summarize this topic in 20 paragraphs. Put a section heading for each paragraph. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Adopting best practices for using cloud developer tools is crucial for enhancing productivity, improving software quality, and ensuring efficient cloud resource management. Below are detailed best practices categorized for ease of understanding.

```mediawiki

Leveraging cloud developer tools effectively can significantly boost the development lifecycle, ensuring applications are built with efficiency, security, and scalability in mind.

Evaluate and select tools that best fit your project's requirements, considering factors like language support, integration capabilities, and cloud environment compatibility.

Use automation tools for repetitive tasks such as testing, deployments, and infrastructure provisioning to increase efficiency and reduce human error.

Adopt CI/CD practices using tools like AWS CodePipeline, Azure DevOps Services, or Google Cloud Build to automate the software release process, from code commit to production deployment.

Utilize IaC tools like AWS CloudFormation, Azure Resource Manager Templates, or Google Cloud Deployment Manager to manage infrastructure through code, ensuring consistency and traceability.

Incorporate security tools and practices at every stage of the development pipeline to identify and mitigate vulnerabilities early in the development process.

Leverage version control systems such as Git to manage code changes, collaborate with team members, and maintain a history of your project's evolution.

Monitor and optimize your cloud resource usage to avoid unnecessary costs, using cloud provider tools for cost management and optimization.

Design your applications for high availability and scalability from the outset, leveraging cloud services like load balancers, auto-scaling, and multi-region deployments.

Implement monitoring and logging using tools provided by cloud platforms to gain insights into application performance and infrastructure health.

Foster a culture of collaboration among development, operations, and security teams to enhance productivity and application security.

Utilize cloud storage services for regular backups and plan for disaster recovery to ensure data durability and application availability.

Consider using a microservices architecture for complex applications to improve scalability and ease of management, leveraging container orchestration tools like Kubernetes.

Secure your APIs using methods like authentication, authorization, rate limiting, and input validation to protect against unauthorized access and data breaches.

Explore serverless computing for suitable workloads to benefit from the scalability and cost savings of executing code in response to events.

Keep abreast of the latest trends and updates in cloud computing and developer tools to leverage new features and best practices.

Perform code reviews to maintain code quality, share knowledge among team members, and identify potential issues early in the development process.

Maintain comprehensive documentation for your codebase, infrastructure setup, and development processes to facilitate onboarding and knowledge sharing.

Regularly profile and optimize your application's performance, utilizing cloud-native services and features to enhance user experience.

Following these best practices for cloud developer tools enables teams to build and deploy cloud-native applications efficiently, securely, and reliably, maximizing the benefits of cloud computing while minimizing potential risks and costs. ```

These guidelines offer a framework for effectively utilizing cloud developer tools, ensuring that development teams can leverage the full potential of cloud computing platforms for their projects.

Research:

• Cloud Developer tools on DuckDuckGo
• Cloud Developer tools on Google.com
• Cloud Developer tools on AWS Docs
• Cloud Developer tools on O'Reilly
• Cloud Developer tools on GitHub
• Cloud Developer tools on Kubernetes.io
• Cloud Developer tools on Azure Docs
• Cloud Developer tools on GCP Docs
• Cloud Developer tools on IBM Docs
• Cloud Developer tools on Red Hat Docs
• Cloud Developer tools on Oracle Docs
• Cloud Developer tools on Reddit
• Cloud Developer tools on StackOverflow
• Cloud Developer tools on YouTube

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