I. Overview:

DevOps Engineering on AWS teaches you how to use the combination of tools, practices, and cultural philosophy of DevOps to improve an 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), microservices, infrastructure as code, monitoring and logging, and communication and collaboration.

II. Duration: 24 hours (3 days)

III. Objectives:

• List the advantages of small DevOps teams
• List the roles and responsibilities of the members of a typical small DevOps team
• Leverage AWS Cloud9 to write, run and debug their code as well as share their cloud-based IDE with their dev team
• Build continuous integration/continuous delivery (CI/CD) pipelines including testing and security
• Develop Git branching strategies and integrate with CI/CD pipeline for various environments
• Use AWS CloudFormation to deploy development, test, and production environments for a software development project
• Design and implement an infrastructure on AWS that supports DevOps development projects
• Build a CI/CD pipeline for AWS CloudFormation templates
• Establish collaboration by bringing together the workflows and responsibilities of development and operations
• Host secure, highly scalable private Git repositories with AWS CodeCommit
• Leverage Amazon Elastic Container Registry (Amazon ECR) to securely store Docker container images and integrate with AWS CodeBuild and Amazon Elastic Container Service (Amazon ECS)
• Automate build, test, and packaging code with AWS CodeBuild
• Integrate security in CI/CD pipeline tools and services
• Implement common deployment strategies such as "all at once," "rolling," and "blue/green"
• Automate software deployments to Amazon Elastic Compute Cloud (Amazon EC2), on-premises computes, AWS ECS (Amazon EC2 /AWS Fargate), and AWS Lambda with AWS CodeDeploy
• Automate release pipelines (build, test, deploy) with AWS CodePipeline
• Monitor an application and environment using AWS tools and technologies

IV. Intended Audience:

• Developers
• DevOps engineers
• SysOps engineers
• DevOps architects
• System administrators.

V. Prerequisites:

We recommend that learners have: - Previous attendance at the Cloud 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.

VI. Course outlines:

1. Module 1: Introduction to DevOps

• Overview
• The Amazon Journey to DevOps
• Foundations for DevOps
• Knowledge Check

2. Module 2: Infrastructure Automation

• Overview
• Introduction to Infrastructure Automation
• Diving into the AWS CloudFormation Template
• Modifying an AWS CloudFormation Template
• Knowledge Check

3. Module 3: AWS Toolkits

• Overview
• Configuring the AWS CLI
• AWS Software Development Kits (AWS SDKs)
• AWS SAM CLI
• AWS Cloud Development Kit (AWS CDK)
• Amazon Bedrock and Amazon Q
• Amazon Q Developer
• Knowledge Check
• Lab 1: Using AWS CloudFormation to Provision and Manage a Basic Infrastructure

4. Module 4: Continuous Integration and Delivery (CI/CD) with Development Tools

• Overview
• CI/CD Pipeline
• Developer Tools
• AWS CodePipeline
• Knowledge Check
• Lab 2: Deploy an Application to an EC2 Fleet Using AWS CodeDeploy
• Lab 3: Automating code deployments using AWS CodePipeline

5. Module 5: Introduction to Microservices

• Overview
• Introduction to Microservices
• Knowledge Check

6. Module 6: DevOps and Containers

• Overview
• Deploying Applications with Docker
• Amazon Elastic Container Service and AWS Fargate
• Amazon Elastic Container Registry and Amazon Elastic Kubernetes Service
• Knowledge Check

7. Module 7: DevOps and Serverless Computing

• Overview
• AWS Lambda and AWS Fargate
• AWS Serverless Application Repository and AWS SAM
• AWS Step Functions
• Knowledge Check
• Lab 4: Deploying a Serverless Application Using AWS SAM and a CI/CD Pipeline

8. Module 8: Deployment Strategies

• Overview
• Continuous Deployment
• Deployments with AWS Services
• Knowledge Check

9. Module 9: Automated Testing

• Overview
• Introduction to Testing
• Tests: Unit, Integration, Fault Tolerance, Load, and Synthetic
• Product and Service Integrations
• Knowledge Check

10. Module 10: Security Automation

• Overview
• Introduction to DevSecOps
• Security of the Pipeline
• Security in the Pipeline
• Threat Detection Tools
• Knowledge Check

11. Module 11: Configuration Management

• Overview
• Introduction to the Configuration Management Process
• AWS Services and Tooling for Configuration Management
• Knowledge Check
• Lab 5: Performing Blue/Green Deployments with CI/CD Pipelines and Amazon Elastic Container Service

12. Module 12: Observability

• Overview
• Introduction to Observability
• AWS Tools to Assist with Observability
• Knowledge Check
• Lab 6: Using AWS DevOps Tools for CI/CD Pipeline Automations

13. Module 13: Reference Architecture

• Module 13 Overview: Reference Architectures
• Reference Architectures