Azure Chaos Engineering: Building Resilient Apps with Chaos Studio

In a cloud-centric world, system failures are not a matter of if, but when. To build truly dependable applications, you must understand how your infrastructure behaves under stress before a real crisis occurs. This course introduces you to the discipline of chaos engineering, providing a structured approach to testing and improving the resilience of your Azure-based services. You will transform your approach to system reliability by learning how to inject controlled faults into your environment. By the end of this course, you will be able to design experiments that uncover hidden vulnerabilities, allowing you to strengthen your architecture and ensure high availability for your users. What you'll learn: - Understand the core principles of chaos engineering and the steady-state hypothesis. - Configure Azure Chaos Studio to manage targets and permissions for experiments. - Design experiments to simulate network latency, CPU spikes, and service outages. - Analyze experiment results using modern observability practices and metrics. - Integrate automated chaos testing into GitHub Actions and DevOps pipelines. - Apply resilience patterns like circuit breakers and retries based on experimental data. - Practice defining blast radiuses to ensure experiments remain controlled and safe. The course begins with essential terminology and the philosophy of resilience before moving into the practicalities of setting up experiments and interpreting data. You will explore how to move from manual testing to a continuous resilience culture within your development lifecycle. This course is designed for cloud architects, DevOps engineers, and developers who are new to chaos engineering and want to improve their Azure infrastructure. No prior experience with fault injection is required. Start building more robust and reliable cloud applications through the power of controlled chaos.