chaos-mesh VS chaosblade-exec-jvm

Litmus, Gremlin, Chaos Mesh, and Chaos Monkey are all popular open-source tools used for chaos engineering. As we will be using AWS cloud infrastructure, we will also explore AWS Fault Injection Simulator (FIS). While they share the same goals of testing and improving the resilience of a system, there are some differences between them. Here are some comparisons:

https://chaos-mesh.org/ (open source)

Implement Chaos Mesh and Litmus chaos engineering framework to understand the behavior and stability of application in real-world use cases.

Here is our recent experience with Chaos Mesh for performing basic chaos engineering experiments on an application in Kubernetes.

In March 2018, an article titled Service Mesh is the broad trend, what about Database Mesh?, was pubslished on InfoQ China and went viral in the technical community. In this article, Zhang Liang, the founder of Apache ShardingSphere, described Database Mesh concept along with the idea of Service Mesh. Four years later, the Database Mesh concept has been integrated by several companies together with their own tools and ecosystems. Today, in addition to Service Mesh, a variety of “X Mesh” concepts such as ChaosMesh, EventMesh, IOMesh have emerged. Following four years of development, Database Mesh has also started a new chapter: Database Mesh 2.0.

Thanks to all Chaos Mesh Contributors, Chaos Mesh couldn’t have come from 1.0 to 2.0 without all of your efforts!

ChaosMesh

It's been a year since Chaos Mesh was first open-sourced on GitHub. Chaos Mesh started out as a mere fault injection tool and is now heading towards the goal of building a chaos engineering ecology. Meanwhile, the Chaos Mesh community was also built from scratch and has helped Chaos Mesh join CNCF as a Sandbox project.

JVM languages such as Java and Kotlin are widely used in the industry. A JVMChaos can be easily simulated through methods like JVM bytecode enhancement and Java Agent. Currently, JVMChaos uses chaosblade-exec-jvm, and supports injecting various application-level fault types including method delay, specify return value, OOM and throw custom exception. For more info, you can refer to the document: Simulate JVM Application Faults.