DevOps Engineering on AWS

This course is intended for:

• DevOps engineers
• DevOps architects
• Operations engineers
• System administrators
• Developers

In this course, you will:

• Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS
• List the advantages, roles and responsibilities of small autonomous DevOps teams
• Design and implement an infrastructure on AWS that supports DevOps development projects
• Leverage AWS Cloud9 to write, run and debug your code
• Deploy various environments with AWS CloudFormation
• Host secure, highly scalable, and private Git repositories with AWS CodeCommit
• Integrate Git repositories into CI/CD pipelines
• Automate build, test, and packaging code with AWS CodeBuild
• Securely store and leverage Docker images and integrate them into your CI/CD pipelines
• Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
• Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
• Integrate testing and security into CI/CD pipelines
• Monitor applications and environments using AWS tools and technologies

Day 1

Module 0: Course overview

• Course objective
• Suggested prerequisites
• Course overview breakdown

Module 1: Introduction to DevOps

• What is DevOps?
• The Amazon journey to DevOps
• Foundations for DevOps

Module 2: Infrastructure Automation

• Introduction to Infrastructure Automation
• Diving into the AWS CloudFormation template
• Modifying an AWS CloudFormation template
• Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection

Module 3: AWS Toolkits

• Configuring the AWS CLI
• AWS Software Development Kits (AWS SDKs)
• AWS SAM CLI
• AWS Cloud Development Kit (AWS CDK)
• AWS Cloud9
• Demonstration: AWS CLI and AWS CDK
• Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure

Module 4: Continuous integration and continuous delivery (CI/CD) with development tools

• CI/CD Pipeline and Dev Tools
• Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline
• Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy

Day 2

Module 4: Continuous integration and continuous delivery (CI/CD) with development tools

• AWS CodePipeline
• Demonstration: AWS integration with Jenkins
• Hands-on lab: Automating code deployments using AWS CodePipeline

Module 5: Introduction to Microservices

• Introduction to Microservices

Module 6: DevOps and containers

• Deploying applications with Docker
• Amazon Elastic Container Service and AWS Fargate
• Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
• Demonstration: CI/CD pipeline deployment in a containerized application

Module 7: DevOps and serverless computing

• AWS Lambda and AWS Fargate
• AWS Serverless Application Repository and AWS SAM
• AWS Step Functions
• Demonstration: AWS Lambda and characteristics
• Demonstration: AWS SAM quick start in AWS Cloud9
• Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWS SAM) and a CI/CD Pipeline

Module 8: Deployment strategies

• Continuous Deployment
• Deployments with AWS Services

Module 9: Automated testing

• Introduction to testing
• Tests: Unit, integration, fault tolerance, load, and synthetic
• Product and service integrations

Day 3

Module 10: Security automation

• Introduction to DevSecOps
• Security of the Pipeline
• Security in the Pipeline
• Threat Detection Tools
• Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector

Module 11: Configuration management

• Introduction to the configuration management process
• AWS services and tooling for configuration management
• Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic Container Service (Amazon ECS)

Module 12: Observability

• Introduction to observability
• AWS tools to assist with observability
• Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations

Module 13: Reference architecture (Optional module)

• Reference architectures

Module 14: Course summary

• Components of DevOps practice
• CI/CD pipeline review
• AWS Certification

We recommend that attendees of this course have:

• Previous attendance at the Systems Operations on AWS or Developing on AWS courses
• Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
• Intermediate knowledge of administering Linux or Windows systems at the command-line level
• Two or more years of experience provisioning, operating, and managing AWS environments