GitHub user dosubot[bot] added a comment to the discussion: Production 
deployment issue in

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Your pods are still missing psycopg2 because the image tag in your values.yaml 
(`2.1.0`) does not match the tag you built and pushed (`4.1.2`). The Superset 
Helm chart uses the image and tag from values.yaml for all main pods—including 
init-db, worker, and web—so if the tag doesn’t match what you pushed, 
Kubernetes will use an old or default image, which won’t have your dependencies 
and will cause errors like `ModuleNotFoundError: No module named 'psycopg2'` 
[reference](https://github.com/apache/superset/blob/1a54b761c1870e61296e4af4da56dedf23b5e8e8/helm/superset/values.yaml).

To fix this:
1. Change your values.yaml to use `tag: 4.1.2` (the tag you pushed).
2. Run `helm upgrade --install ...` again with `pullPolicy: Always`.
3. Check the image actually running in your pods with `kubectl get pods -n 
<namespace> -o wide` and `kubectl describe pod <pod-name> -n <namespace>`. The 
image should be `reddy2210/superset-custom:4.1.2`.
4. If you still see errors, run `docker run --rm -it 
reddy2210/superset-custom:4.1.2 python -c "import psycopg2"` locally to confirm 
psycopg2 is present in your image.

Once the image tag matches and the image is correct, all pods (including 
init-db) will have the right dependencies and the psycopg2 error should 
disappear 
[reference](https://github.com/apache/superset/blob/1a54b761c1870e61296e4af4da56dedf23b5e8e8/helm/superset/templates/init-job.yaml).

For production, always use Kubernetes Secrets for passwords and build all 
Python dependencies into your image before deploying.


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GitHub link: 
https://github.com/apache/superset/discussions/33957#discussioncomment-13600093

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