DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
This course is intended for:
In this course, you will learn to:
Introduction to DevOps
Goal: Discuss the DevOps culture and methodology.
AWS Command Line Interface (AWS CLI)
Goal: Understand how to use scripting and the AWS CLI to manage your infrastructure.
Lab 1: Hands-on with AWS CLI
Introduction to DevSecOps
Goal: Discuss architectural and security models for DevOps.
Lab 2: Building and executing automated AWS Identity and Access Management (IAM) policy tests with AWS Config.
Deployment Strategies and Developer Tools
Goal: Learn various deployment strategies adopted for the DevOps practice and the AWS developer tools available for building a CI/CD pipeline.
Infrastructure as Code
Goal: Discuss AWS CloudFormation and its features and design patterns.
Lab 3: Hands-on with AWS CloudFormation templates.
Deep Dive into AWS Developer Tools
Goal: Deep dive into core concepts and usage of AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, AWS CodePipeline and AWS CodeStar.
Lab 4: Set up a very simple CI/CD pipeline with AWS CodeStar
Automated Testing on AWS
Goal: Discuss automated testing phases in a DevOps culture and learn about automated testing can be leveraged with AWS.
Goal: Learn about configuration management with AWS OpsWorks for Chef Automate and AWS OpsWorks Stacks.
Lab 5: Hands-on with OpsWorks for Chef Automate.
AMI Building and AWS Systems Manager
Goal: Learn about AMI building and Systems Manager concepts.
Containers: Docker and Amazon Elastic Container Service
Goal: Learn basics about Docker and containerized deployment. Learn about container management and orchestration with Amazon Elastic Container Service (Amazon ECS).
Lab 6: Hands-on with Docker and Amazon ECS
Customer Case Studies
Goal: Learn about customer stories and use cases for the AWS services discussed in different modules
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
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