Chaos engineering is a discipline that involves the deliberate introduction of failures or disruptions into a system in order to test and improve its resilience and robustness. Chaos engineering is based on the idea that it is better to proactively identify and address potential failures in a system before they occur in a production environment, rather than reacting to failures after they have happened.
The goal of Chaos Engineering is to improve the reliability and availability of a system by identifying and addressing potential failure points and vulnerabilities. It is typically applied to complex, distributed systems, such as distributed applications, cloud-based systems, and Software Architecture that structures an application as a collection of independent, modular services. Each microservic...">Microservice architectures.
Chaos Engineering involves designing and executing experiments, known as "chaos experiments," that simulate real-world failures or disruptions in a controlled environment. These experiments are designed to test the system's ability to handle failures or disruptions, and to identify any weaknesses or vulnerabilities that may need to be addressed.
Chaos Engineering is often used in conjunction with other testing and monitoring techniques, such as load testing and stress testing, to ensure that a system is reliable and resilient under a wide range of conditions. It is an important tool for improving the reliability and availability of complex, distributed systems and for building confidence in the robustness of a system.