Gloo Shot is a chaos engineering framework for service meshes.
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- Harden your applications: Gloo Shot allows you to test failure modes before they occur in production.
- Preview architectural changes: Real deployments have different performance characteristics than your production environment. Gloo Shot allows you to simulate your production environment (latency, faults, etc.) prior to deployment.
- Gloo Shot is easy to install from the
glooshotcommand line tool.- Once Gloo Shot is installed, you can trigger experiments with familiar
kubectlcommands. - Please see our getting started tutorial for a quick start usage overview.
- Once Gloo Shot is installed, you can trigger experiments with familiar
- Gloo Shot has an expressive API for designing targeted experiments in your service mesh.
- You can specify fault injections in the form of:
- Response delays - simulate network delays
- Aborted responses - simulate outages
- These faults can be applied to any upstream for all requests or for a specified precentage of the requests.
- In an upcoming release, Gloo Shot will support even more target selectors
- Experiments automatically terminate according to your specification.
- Failure condition - Prometheus metric value threshold or a custom webhook
- Timeout - if none of the metric thresholds are exceeded, Gloo Shot will terminate the experiment after a set duration.
- Integration with service meshes: Gloo Shot was designed for service mesh environments. It leverages Supergloo for a consistent interface to multiple different service meshes.
- Kubernetes-native experiment specifications: Gloo Shot's configuration resources are specified in Custom Resource Definitions (CRDs) which means that you can manage experiments with familiar
kubectlcommands.
- Join us on our slack channel: https://slack.solo.io/
- Follow us on Twitter: https://twitter.com/soloio_inc
- Check out the docs: https://gloo.solo.io
- Check out the code and contribute: Contribution Guide
- Contribute to the Docs
Gloo Shot would not be possible without the valuable open-source work of projects in the community. We would like to extend a special thank-you to Envoy.