Testing reliability of our next-gen platform on Kubernetes Keiko.
Intuit is the brand that disrupts, innovates, obsesses with its customers & remains uncompromised on its employees first policy with the mission of powering prosperity. Engineers who are building Intuit products for taxation, small business accounting, and personal financial management for customers all over the world.
Why we explored Litmus?
When we started building our next-gen platform on Kubernetes Keiko, we realized that its reliability is most important. We started using the litmus base solution. We have our homegrown solution build on Kubernetes with a container-native approach, using chaostoolkit. We need a solution that can reuse the work and help in building Kubernetes native way.
How we explored litmus?
We use LitmusChaos on the cluster as an operator and create custom resources for experiments. Those experiments will be exposed and executed via the test using Argo workflow. In the future, we are planning to go gitOps for chaos. We have a cluster and service owner use case to handle separate role access to execute this chaos. We are using Chaos for the Application, cloud, and Kubernetes platform. We are attaching chaos with Performance testing to get the full impact of chaos on the given service.
Benefits in using Litmus.
We are getting benefits from its plug-in architecture. With open-source and community-backed up, we could move fast if we face any challenges. We have shared our journey on chaos and how we are using Choas Workflow and Chaos gitOps using Argo.
Other Resources
Video: https://youtu.be/Ohj0VrwmQWs?t=567
Blog: https://sumitnagal.medium.com/chaos-journey-279924051d57
Chaos Engineering made easy
Litmus is highly extensible and integrates with other tools to enable the creation of custom experiments. Kubernetes developers & SREs use Litmus to manage chaos in a declarative manner and find weaknesses in their applications and infrastructure.
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