The Building a Basic FIS Experiment module guides learners through the step-by-step process of setting up and executing a basic Fault Injection Simulator (FIS) experiment. This module covers creating permissions, building an Auto Scaling Group (ASG) architecture, running experiments, and using monitoring tools like CloudWatch. Learners will also see practical demonstrations for better understanding and complete a quiz to solidify their knowledge.

The Introduction to Real Life Application module provides an overview of deploying and setting up a real-world application to use in chaos engineering experiments. Learners will understand the prerequisites, set up architecture, deploy the application, and establish steady-state metrics using CloudWatch RUM and X-Ray. Planning effective experiments and deploying using CloudFormation will also be demonstrated, followed by a quiz to reinforce key concepts.

The Chaos Engineering on Compute - EC2 module focuses on executing chaos engineering experiments on EC2 instances, specifically simulating disk fill scenarios. Learners will gain practical experience by observing system behavior and metrics before and after running FIS experiments, using tools like X-Ray for monitoring. The module concludes with a quiz to test understanding of key concepts.

The Chaos Engineering on Database - Aurora module explores conducting chaos engineering experiments on Amazon Aurora databases, focusing on a reader node reboot scenario. Learners will be guided through setting up prerequisites, creating necessary IAM roles, and executing FIS experiments. The module includes demonstrations on monitoring database state and metrics post-experiment and ends with a quiz to reinforce learning.

The Chaos Engineering on Serverless - Fargate module delves into applying chaos engineering techniques to serverless architectures, with a focus on Amazon ECS Fargate. Learners will explore experiment design and hypothesis formation, setting up steady-state conditions, and executing an I/O stress test. The module will feature demos for IAM role creation and post-experiment analysis, concluding with a quiz to reinforce understanding.

The Chaos Engineering on Kubernetes - EKS module covers the application of chaos engineering principles to Amazon EKS (Elastic Kubernetes Service). Learners will gain insights into running memory stress and pod deletion experiments to test and improve the resilience of Kubernetes clusters. The module includes detailed demonstrations of experiment execution and post-experiment analysis, followed by a quiz to assess knowledge retention.

The Chaos Engineering on Availability Zone module focuses on conducting chaos experiments to test the resilience of applications across different Availability Zones (AZs). Learners will understand the significance of AZs and follow guided demonstrations on setting up, preparing, and executing experiments to evaluate system behavior under stress. The module concludes with a quiz to consolidate learning.

The Conclusion module provides a final review of the chaos engineering practices covered throughout the course and emphasizes the importance of a thorough cleanup process.