Kyverno Crashes

Resolve Kyverno crashes caused by insufficient memory in large clusters.

Symptom: I have a large cluster with many objects and many Kyverno policies. Kyverno is seen to sometimes crash.

Solution: In cases of very large scale, it may be required to increase the memory limit of the Kyverno Pod so it can keep track of these objects.

  1. First, see the above troubleshooting section. If changes are required, edit the necessary Kyverno Deployment and increase the memory limit on the container. Change the resources.limits.memory field to a larger value. Continue to monitor the memory usage by using something like the Kubernetes metrics-server.

Last modified December 27, 2024 at 10:57 PM PST: adding a table of content to the troubleshooting section and some adaptation to each sub page. (09bed88)