Cloud Automation Expertise​
You can’t operate, manage or secure the cloud without Automation.
Introduction
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Automation is the process of using software tools and scripts to perform tasks that would otherwise require manual intervention or human input. At cloud scale, this simply won’t work.
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Automation delivers efficiency, reliability, scalability, and security of cloud-based applications and infrastructure.
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Automation allows you to establish guardrails around costs, performance, security and compliance providing your organization standardized governance and policy enforcement.
Whether your organization is migrating from an internal data center or from another Cloud provider – AximCloud has a proven, customizable, comprehensive strategy to meet your specific requirements and goals.
General Automation Skills and Best Practices
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Programming and scripting languages, such as Python, Ruby, PowerShell, Bash, etc.
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Version control and code management tools, such as Git, GitHub, Bitbucket, etc.
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Configuration management and orchestration tools, such as Ansible, Chef, Puppet.
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Testing and debugging tools, such as PyTest, RSpec, Pester, etc.
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Continuous integration and continuous delivery (CI/CD) tools and pipelines, such as Jenkins, AWS CodePipeline, etc.
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Monitoring and logging tools, such as AWS CloudWatch, Splunk, ELK, etc.
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Security and compliance tools and standards, such as AWS IAM, AWS KMS, AWS Config, AWS CloudFormation Guard, etc.
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Documentation and communication tools and skills, such as Markdown, Jira, Slack, etc.
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AWS-Specific Automation Skills and Services
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AWS CLI and SDKs, to interact programmatically with AWS services and resources.
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AWS CloudFormation, to define and deploy AWS resources and configurations using templates.
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AWS Lambda, to run code without provisioning or managing servers.
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AWS Step Functions, to coordinate multiple AWS services into workflows.
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AWS Systems Manager, to manage and automate tasks across AWS resources.
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AWS OpsWorks, to automate the configuration and deployment of applications using Chef or Puppet.
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AWS CodeDeploy, to automate the deployment of applications to EC2 instances or Lambda functions.
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AWS CodeBuild, to automate the building and testing of code.
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AWS CodeCommit, to store and manage code in a secure and scalable way.
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AWS CodeStar, to create and manage CI/CD projects using AWS tools and services.
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Automation Use Cases and Scenarios
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Infrastructure as code (IaC), which is the practice of defining and managing cloud infrastructure using code and configuration files, rather than manual processes.
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Serverless computing, which is the practice of running code without provisioning or managing servers, using services such as AWS Lambda, AWS API Gateway, AWS S3, etc.
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DevOps, which is the practice of combining development and operations processes and tools to deliver software faster and more reliably.
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Microservices, which is the practice of designing and developing software as a collection of small and independent services that communicate with each other.
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Containers, which are a method of packaging and running applications in isolated and portable environments, using services such as AWS ECS, AWS EKS, AWS Fargate, etc.
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Machine learning, which is the practice of using algorithms and data to create models that can perform tasks such as prediction, classification, recommendation, etc., using services such as AWS SageMaker, AWS Comprehend, AWS Rekognition, etc.