Chaos Engineering with Chaos Toolkit and Istio

Modern microservice architectures must be resilient to unpredictable network conditions, but testing these failure modes manually is incredibly difficult. This course teaches you how to systematically inject network failures into your service mesh to find weaknesses before they affect your users. You will learn to use Chaos Toolkit alongside Istio to safely automate chaos engineering experiments in a Kubernetes environment. What you'll learn: Understand foundational chaos engineering concepts and the role of service meshes; Install and configure the Chaos Toolkit and its Istio-specific plugin; Design automated experiments to simulate network latency, packet loss, and service failures; Write declarative experiment templates using JSON and YAML; Analyze system behavior during active disruptions to verify self-healing capabilities; Apply best practices for running safe, controlled chaos experiments in non-production environments. This text-based course begins with the essential definitions of chaos engineering and service mesh architectures, then guides you step-by-step through setting up your environment, writing experiment files, and interpreting the results of network disruptions. This program is designed for software developers, system administrators, and DevOps engineers who are new to chaos engineering and want to build more reliable cloud-native applications. No prior experience with Chaos Toolkit is required, though a basic understanding of Kubernetes and Istio concepts is helpful. Start practicing chaos engineering to build systems you can truly rely on.