DevOps Engineering on AWS

This course is intended for:

• - Developers
• - DevOps Engineers
• - SysOps Engineers
• - DevOps Architects
• - System Administrators

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
• 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

Day 1

Module 1: Introduction to DevOps

• What is DevOps?
• Amazon’s DevOps journey
• DevOps foundations

Module 2: Infrastructure Automation

• Infrastructure as Code overview
• AWS CloudFormation templates
• Template updates and drift detection
• Demonstration: Stacks, parameters, and resource imports

Module 3: AWS Toolkits

• AWS CLI and SDKs
• AWS SAM CLI and AWS CDK
• AWS Cloud9
• Demo: CLI & CDK
• Hands-on lab: Provision infrastructure with CloudFormation

Module 4: CI/CD with AWS Dev Tools

• CI/CD pipeline concepts
• AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline
• Lab: Deploy application to EC2 using CodeDeploy

Module 5: CI/CD Continued

• AWS CodePipeline
• Jenkins integration demo
• Lab: Automating deployments with CodePipeline

Day 2

Module 6: Introduction to Microservices

• Microservices fundamentals

Module 7: Containers & DevOps

• Docker deployments
• Amazon ECS, ECR, EKS, and Fargate
• Demo: Container CI/CD pipeline

Module 8: Serverless DevOps

• AWS Lambda and serverless workflows
• AWS SAM & Serverless Application Repository
• AWS Step Functions
• Demos + Lab: Deploy serverless app with CI/CD

Module 9: Deployment Strategies

• Continuous deployment
• AWS deployment approaches

Module 10: Automated Testing

• Testing fundamentals
• Unit, integration, load, and fault tests
• Service integrations Day 3

Module 11: Security Automation

• DevSecOps fundamentals
• Pipeline security practices
• Threat detection tools
• Demo: Security Hub, GuardDuty, Config, Inspector

Module 12: Configuration Management

• Config management concepts
• AWS tooling
• Lab: Blue/green deployments with ECS

Module 13: Observability

• Observability fundamentals
• AWS monitoring tools
• Lab: CI/CD observability automation

Module 14: Reference Architecture (Optional)

• DevOps reference architectures

Module 15: Course Summary

• DevOps practice review
• CI/CD recap
• AWS certification guidance

Required:

• 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
• Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)

Recommended:

• Developing on AWS
• Cloud Operations on AWS

The DevOps Engineering on AWS course leads to AWS Certified DevOps Engineer - Professional Certification