A very short introduction to Kubernetes Operators development using Kopf
summary
Introduces building Kubernetes Operators in Python using the Kopf framework to manage real workloads via a CustomResourceDefinition, showing concrete code for create/update/delete handlers, synchronous and async modes, and annotations-based state tracking. Covers running the operator locally against a cluster, version notes (kopf 0.26 → 0.27rc), built-in features like retry-on-exception backoff, and how failures and migrations are handled, with a working operator used in production.
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chapters (12)
- 0:00Kopf operators intro
- 2:28Kubernetes standard
- 7:58Resource management issues
- 11:11Operator dev alternatives
- 13:26Choosing Kopf framework
- 17:57Kopf benefits & community
- 19:27Custom resource creation
- 23:29Operator architecture & events
- 26:24Error handling in Kopf
- 28:57Logging & debugging
- 30:00Local Kopf dev
- 31:55Summary
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