Validating Application Availability with Kubernetes Chaos Engineering

How do you know if your containerized application will survive a sudden infrastructure failure? In modern cloud environments, waiting for an outage to test your resilience is a risky strategy. This course introduces you to the core principles of chaos engineering, teaching you how to proactively validate application availability under stress. You will start with the foundational definitions of steady-state and resilience metrics before diving into practical, step-by-step experiment design. Through clear written explanations and structured configuration examples, you will learn how to safely inject faults, observe system behavior, and implement automated recovery strategies. What you'll learn: Understand the core principles of chaos engineering and the concept of steady-state validation; Configure and run targeted chaos experiments to simulate pod and node failures; Analyze system metrics and application logs to verify continuous availability; Implement modern observability practices to detect degradation before it impacts users; Design automated recovery policies to handle unexpected infrastructure disruption. This course begins with essential terminology and structural concepts before guiding you through the step-by-step process of planning, executing, and analyzing your first chaos experiments. This course is designed for software developers, system administrators, and DevOps beginners who want to build more resilient systems; no prior experience with chaos engineering tools is required. Start building robust systems that can withstand any failure today.