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I work at Zalando where we run hundreds of PostgreSQL database clusters on Kubernetes (on AWS) using our Postgres Operator (https://github.com/zalando/postgres-operator). This gives us some added flexibility, quick startup (e.g. for e2e), and the latest PG features. That being said, I would be careful to recommend any specific stateful workload approach without good understanding of the whole setup (true for whatever cloud/k8s/onprem environment).

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Yeah, sounds like operators really are a perfect fit for this use case. For your e2e, I imagine you use the operators to spin up new database instances for every run? I really like the idea of being able to do that, which is something I imagine would be difficult outside of Kubernetes.

For production though, do you have any specific scheduling logic to ensure that database resources don't cause issues with other services in the cluster, or is it just a matter of configuring the database service?

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