Chaos Engineering

In today's fast-paced digital landscape, system resilience is vital for businesses of all sizes. "Chaos Engineering" is a comprehensive and hands-on course designed to equip you with the knowledge and skills needed to ensure your systems withstand and recover from failures. From foundational concepts to advanced applications on various AWS services, including EC2, Aurora, Fargate, and EKS, as well as strategies to ensure availability across multiple Availability Zones. What You’ll Learn: Chaos Engineering Fundamentals: Understand core principles and the philosophy behind Chaos Engineering. Learn why identifying and addressing system weaknesses through controlled chaos experiments is vital. Explore essential tools and methodologies for implementing Chaos Engineering. Building a Basic Fault Injection Simulation (FIS) Experiment: Gain a step-by-step understanding of constructing and executing your first Fault Injection Simulation (FIS) experiment. Understand how to design experiments targeting different failure modes in a controlled setting. Learn to interpret experiment results and refine your simulations for better accuracy. Introduction to Real-Life Application: Discover how to apply Chaos Engineering experiments to real-world applications. Learn best practices for monitoring, capturing metrics, and analyzing results to continually improve system resilience. Chaos Engineering on Compute - EC2: Conduct chaos experiments on EC2 instances to evaluate and improve system robustness. Simulate failures, such as instance termination or network latency, and observe impacts. Chaos Engineering on Database - Aurora: Learn to apply Chaos Engineering principles to Amazon Aurora databases. Simulate failures like cluster instability or node outages and develop strategies for seamless recovery. Chaos Engineering on Serverless - Fargate: Conduct chaos experiments on AWS Fargate to test the resilience of your serverless applications. Simulate events like task failures or servi