We’re thrilled to announce that Chaos Mesh is now officially accepted as a CNCF Sandbox project. As maintainers of Chaos Mesh, we’d like to thank all the contributors and adopters. This would not be possible without your trust, support, and contributions.
Chaos Mesh, an easy-to-use, open-source, cloud-native chaos engineering platform for Kubernetes (K8s), has a new feature, TimeChaos, which simulates the clock skew phenomenon. Usually, when we modify clocks in a container, we want a minimized blast radius, and we don't want the change to affect the other containers on the node. In reality, however, implementing this can be harder than you think. How does Chaos Mesh solve this problem?
Chaos Engineering is a way to test a production software system's robustness by simulating unusual or disruptive conditions. For many people, however, the transition from learning Chaos Engineering to practicing it on their own systems is daunting. It sounds like one of those big ideas that require a fully-equipped team to plan ahead. Well, it doesn't have to be. To get started with chaos experimenting, you may be just one suitable platform away.
In the world of distributed computing, faults can happen to your clusters unpredictably any time, anywhere. Traditionally we have unit tests and integration tests that guarantee a system is production ready, but these cover just the tip of the iceberg as clusters scale, complexities amount, and data volumes increase by PB levels. To better identify system vulnerabilities and improve resilience, Netflix invented Chaos Monkey and injects various types of faults into the infrastructure and business systems. This is how Chaos Engineering was originated.