GitHub user dosubot[bot] added a comment to the discussion: superset k8s deployment via helm
<!-- Answer --> Both "chunk missing" errors in the UI and "DB engine Error: Can't load plugin" in new pods are almost always caused by missing dependencies or inconsistent images in your Superset deployment. For chunk errors: All pods must serve the exact same, fully built static assets. If you build images in CI, make sure the npm/webpack build completes and the static files are baked into the image before rollout. If you use rolling updates, never mix old and new images—this causes chunk hash mismatches and missing files. Also, check that STATIC_ASSETS_PREFIX and asset path overrides in your Helm values and superset_config.py are correct, especially if you use a custom application root or CDN. Recent changes in Superset improved static asset prefix handling, so make sure you’re on a recent release if you use these features [(PR #36058)](https://github.com/apache/superset/pull/36058). For DB engine plugin errors: These happen when the required Python DB driver (like psycopg2 for PostgreSQL, mysqlclient or pymysql for MySQL, pymssql for SQL Server, etc.) is not installed in the container. The best practice is to add all required drivers to your Docker image (for example, via requirements-local.txt or in your Dockerfile) and rebuild the image so every pod has the same dependencies. The Helm chart’s bootstrap script can install extra packages at pod startup, but for production, bake them into the image to avoid drift and startup delays. If you’re using MySQL, also check that your DB user uses the mysql_native_password plugin and that your connection string matches the installed client [(example)](https://github.com/apache/superset/issues/31400). After deploying a new image, always run superset db upgrade and superset init (the Helm chart’s init job does this) to ensure migrations and roles are up to date [(docs)](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/docs/docs/installation/kubernetes.mdx#L46-L232). If you’re still seeing issues, check pod logs for missing module errors or asset 404s, and confirm all pods are running the same image. If you can clarify which DB engine is failing, I can give more targeted advice. <!-- Dosu Comment Footer --> *To reply, just mention [@dosu](https://go.dosu.dev/dosubot).* --- <sup>How did I do? 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