Introduction

The Mastering AWS DevOps Engineering (ITT_M) for Professionals course is designed for experienced IT professionals aiming to master the practices, tools, and technologies of DevOps on Amazon Web Services (AWS). This training provides a deep dive into automating infrastructure, optimizing CI/CD pipelines, monitoring systems, and ensuring robust security practices. With hands-on projects and real-world scenarios, this course empowers participants to implement efficient DevOps workflows, enabling seamless collaboration and operational excellence in cloud environments.

Prerequisites

• Understanding of AWS core services (EC2, S3, Lambda, etc.)
• Familiarity with DevOps principles and practices
• Experience with scripting languages like Python, Bash, or PowerShell
• Basic knowledge of version control systems such as Git
• An AWS account for practical exercises

Table of Contents

1. Introduction to AWS DevOps Engineering
   1.1 Overview of DevOps Principles and Practices
   1.2 Role of AWS in DevOps Transformation
   1.3 Key AWS Tools for DevOps Engineers
2. Infrastructure as Code (IaC) with AWS
   2.1 Introduction to AWS CloudFormation and Terraform
   2.2 Automating Resource Deployment with Templates
   2.3 Managing Configurations with AWS Systems Manager
3. Continuous Integration and Continuous Delivery (CI/CD)
   3.1 Setting Up CI/CD Pipelines with AWS CodePipeline
   3.2 Automating Builds with AWS CodeBuild
   3.3 Deployment Automation Using AWS CodeDeploy
   3.4 Blue/Green Deployments and Rollbacks
4. Monitoring and Logging
   4.1 Using AWS CloudWatch for Metrics and Alarms
   4.2 Centralized Logging with AWS CloudTrail and Logs Insights
   4.3 Application Performance Monitoring with AWS X-Ray
   4.4 Proactive Issue Detection Using AWS Trusted Advisor
5. Security in DevOps Workflows
   5.1 Secure Application Design with AWS IAM(Ref: AWS RDS Fundamentals: Database Management Essentials)
   5.2 Managing Secrets with AWS Secrets Manager
   5.3 Securing DevOps Pipelines and Infrastructure
   5.4 Implementing Compliance Using AWS Config
6. Automated Testing and Quality Assurance
   6.1 Testing Strategies for AWS Applications
   6.2 Integrating Automated Testing into CI/CD Pipelines
   6.3 Load and Performance Testing with AWS Tools
   6.4 Debugging and Troubleshooting Techniques
7. Scaling and Optimization
   7.1 Auto Scaling for High Availability and Performance
   7.2 Elastic Load Balancing for Efficient Resource Utilization
   7.3 Optimizing Storage and Databases on AWS
   7.4 Cost Management Best Practices for DevOps Engineers
8. Serverless DevOps Engineering
   8.1 Managing Serverless Applications with AWS Lambda
   8.2 Event-Driven Architectures Using SNS and SQS
   8.3 Monitoring and Securing Serverless Workflows
   8.4 Serverless CI/CD Implementations
9. Containerization and Orchestration
   9.1 Docker Basics for AWS DevOps Engineers
   9.2 Managing Containers with Amazon ECS and Fargate
   9.3 Orchestrating Microservices Using Amazon EKS
   9.4 Deploying and Scaling Containers with CI/CD Pipelines
10. Advanced DevOps Case Studies and Labs
    10.1 Designing a Full-Scale CI/CD Pipeline
    10.2 Automating Multi-Region Deployments
    10.3 Implementing Real-Time Monitoring Solutions
    10.4 Analyzing Successful AWS DevOps Implementations

Conclusion

This course provides the knowledge and practical skills required to excel as an AWS DevOps engineer. By mastering advanced tools and practices, participants will be equipped to build and manage efficient, scalable, and secure DevOps workflows on AWS, ensuring operational excellence and driving innovation within their organizations.

Reference