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Cloud Automation

List the competing alternatives in 1. AWS Automation, 2. Azure Automation, 3. GCP Automation, 4. IBM Cloud Automation, 6. IBM z Mainframe Automation, 7. Oracle Cloud Automation, 8. Kubernetes Automation, 9. VMWare Cloud Automation / Tanzu Automation, 10. Alibaba Cloud Automation, 11. DigitalOcean Automation, 12. Huawei Cloud Automation, 13. Tencent Cloud Automation, 14. On-Premises Data Center Automation 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.

Here's a list of cloud automation alternatives provided by various cloud platforms, including on-premises solutions enabled by open-source or private cloud technologies. This list covers a broad spectrum of automation capabilities, from infrastructure provisioning and management to application deployment and orchestration.

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• AWS CloudFormation: Provides a common language for you to model and provision AWS and third-party application resources in your cloud environment.
• AWS OpsWorks: An automation service that provides managed instances of Chef and Puppet.

• Azure Automation: Delivers a cloud-based automation service that automates repetitive tasks across Azure and non-Azure environments.
• Azure Resource Manager (ARM) Templates: Allows you to deploy, manage, and monitor Azure resources in a consistent manner using JSON templates.
• Azure Bicep

• Google Cloud Deployment Manager: Enables the deployment of resources using declarative templates, simplifying resource provisioning and management.
• Google Cloud Build: A service that executes your builds on Google Cloud's infrastructure.

• IBM Cloud Schematics: Uses Terraform as the engine to automate the deployment of infrastructure and applications across IBM Cloud services.
• IBM Cloud Pak for Automation: A comprehensive solution designed to help deploy and manage automation applications.

• Mainframe environments often rely on specialized software for automation, which might include proprietary tools and solutions for managing system resources, job scheduling, and application deployment.

• Oracle Cloud Resource Manager: An infrastructure as code service that allows you to provision and manage Oracle Cloud Infrastructure resources using Terraform.
• Oracle Autonomous Database: Automatically encrypts data, backs up the database, tunes performance, and patches itself when needed.

• Kubernetes itself is an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, offering inherent automation capabilities.

• VMware vRealize Automation: Automates the delivery of personalized infrastructure, applications, and custom IT services.
• Tanzu Mission Control: Provides a single control point for teams to more easily manage Kubernetes and operate modern, containerized applications.

• Alibaba Cloud Resource Orchestration Service: A service that simplifies cloud resource management and automates the deployment of Alibaba Cloud resources using templates.
• Alibaba Cloud Function Compute: A fully-managed event-driven computing service.

• DigitalOcean provides API access and tools such as DigitalOcean Droplets and DigitalOcean Kubernetes (DOKS) which can be automated using third-party tools and scripts for infrastructure management.

• Huawei Cloud ServiceStage: Automates the application deployment process on cloud containers and virtual machines.
• Huawei Cloud FunctionGraph: A serverless platform that enables automatic event-driven computing.

• Tencent Cloud CloudFormation: Allows users to model, provision, and manage Tencent Cloud resources using JSON or YAML templates.
• Tencent Cloud Serverless Cloud Function (SCF): A serverless execution environment that enables you to build and deploy functions without managing servers.

• On-premises solutions can utilize tools like Ansible, Chef, Puppet, and Terraform for automating infrastructure provisioning, configuration, and management in both private clouds and traditional data centers.

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This list showcases the diverse range of automation tools and services available across major cloud platforms and for on-premises data center environments, enabling organizations to automate the provisioning, management, and orchestration of cloud resources efficiently.

Cloud Automation 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 in cloud automation ensures that organizations can achieve operational efficiency, reliability, and scalability. These practices span various aspects of cloud computing, from resource provisioning to application deployment and management.

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Embracing best practices in cloud automation is essential for organizations looking to optimize their cloud infrastructure for efficiency, cost savings, and improved operational resilience.

Before implementing automation, clearly define your objectives, such as reducing manual tasks, improving deployment times, or enhancing system reliability.

Adopt Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or ARM Templates to manage and provision resources in a consistent, repeatable manner.

Utilize configuration management tools such as Ansible, Chef, or Puppet to automate the setup and maintenance of software on existing servers.

Leverage CI/CD pipelines using tools like Jenkins, Azure DevOps, or GitHub Actions to automate the testing and deployment of applications.

Incorporate security practices into automation workflows by scanning for vulnerabilities in code, automating compliance checks, and enforcing security policies.

Set up automated monitoring and alerting for your cloud resources using tools like CloudWatch, Grafana, or Prometheus to quickly identify and respond to issues.

Implement automated backups and define disaster recovery plans that leverage automation for quick recovery of services in case of failures.

Use serverless computing services, such as AWS Lambda or Azure Functions, to run automation scripts without provisioning or managing servers.

Design systems that automatically detect and correct failures without human intervention, enhancing the reliability of cloud services.

Utilize automation to optimize resource allocation based on load, reducing costs by automatically scaling resources up or down as needed.

Use version control systems like Git for all automation scripts and templates to track changes, collaborate, and roll back if necessary.

Automate compliance checks and governance policies to ensure that cloud resources meet organizational and regulatory standards continuously.

Ensure that automation scripts are idempotent, meaning they can be run multiple times without changing the result beyond the initial application.

Automate the provisioning and management of network components like subnets, load balancers, and firewalls to ensure consistent network configurations.

Apply tags to cloud resources to organize, manage, and automate operations based on tagging policies, such as cost allocation and environment separation.

Foster collaboration between development, operations, and security teams to ensure automation practices are aligned and support organizational goals.

Regularly review and refine automation strategies to incorporate new technologies, feedback, and evolving best practices.

Invest in training for team members on automation tools and best practices to empower them to contribute effectively to automation efforts.

Adhering to these cloud automation best practices allows organizations to fully harness the power of cloud computing, achieving greater agility, efficiency, and reliability in their operations. ```

These guidelines provide a comprehensive framework for effectively implementing cloud automation across an organization's cloud infrastructure, ensuring that automated processes are secure, efficient, and aligned with business objectives.

Snippet from Wikipedia: Automation

Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machines. Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices, and computers, usually in combination. Complicated systems, such as modern factories, airplanes, and ships typically use combinations of all of these techniques. The benefit of automation includes labor savings, reducing waste, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision.

Automation includes the use of various equipment and control systems such as machinery, processes in factories, boilers, and heat-treating ovens, switching on telephone networks, steering, stabilization of ships, aircraft and other applications and vehicles with reduced human intervention. Examples range from a household thermostat controlling a boiler to a large industrial control system with tens of thousands of input measurements and output control signals. Automation has also found a home in the banking industry. It can range from simple on-off control to multi-variable high-level algorithms in terms of control complexity.

In the simplest type of an automatic control loop, a controller compares a measured value of a process with a desired set value and processes the resulting error signal to change some input to the process, in such a way that the process stays at its set point despite disturbances. This closed-loop control is an application of negative feedback to a system. The mathematical basis of control theory was begun in the 18th century and advanced rapidly in the 20th. The term automation, inspired by the earlier word automatic (coming from automaton), was not widely used before 1947, when Ford established an automation department. It was during this time that the industry was rapidly adopting feedback controllers, which were introduced in the 1930s.

The World Bank's World Development Report of 2019 shows evidence that the new industries and jobs in the technology sector outweigh the economic effects of workers being displaced by automation. Job losses and downward mobility blamed on automation have been cited as one of many factors in the resurgence of nationalist, protectionist and populist politics in the US, UK and France, among other countries since the 2010s.

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Research:

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

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