Comments (4)
One such example of how to do this in fastapi https://github.com/Blueswen/fastapi-observability
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Metrics
- supabse prometheus endpoint and grafana guide - https://supabase.com/docs/guides/platform/metrics
- posthog - https://posthog.com/docs/self-host/configure/monitoring-with-grafana
Logs
- posthog - loki - https://github.com/grafana/loki
I'm asking around in the YC OSS slack community about this
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In retrospect, this has more to do with containerization / docker than I realized. I would also really like @levand 's thoughts here!
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Logging - skip for now
Monitoring - only for the user themselves or, in the case of Chroma, for internal debugging and development. Don't report metrics back to a chroma telemetry service however
Traces/Error reporting - we do want to capture anonymized errors.
Tools
- there is a easy and quick sentry & posthog integration I could probably use for errors -- https://posthog.com/tutorials/sentry-plugin-tutorial.... support calling errors back to multiple sentry endpoints so that the user can capture as well. This is probably the easiest lift thing to get off-the-ground. It will play nice with what we are already using (posthog) and avoid a ton of boilerplate or self-hosting snafus.
So I think I should focus this PR on error reporting / traces only for now... Integrate sentry, and make it talk to posthog. Allow the user to add their own sentry api tokens optionally as well.
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Related Issues (20)
- [Bug]: KeyError: 'dimension' error for list_collections() HOT 4
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- [Bug][DX]: New EF refactor breaks static analysis of imports for IDEs HOT 4
- [Bug]: query after add does not use updated db HOT 10
- [Feature Request]: ImageLoader should also load images from remote URLs, not just local URIs HOT 6
- [Bug]: Can't set max batch size HOT 2
- [Feature Request]: add_documents should allow passing of embeddings HOT 1
- [Bug]: kernel die when training vanna ai (with chromadb) with more than 90 vectors. HOT 1
- [Install issue]: Not able to npm install because of Numpy 0.2.0 which has breaking change HOT 4
- [Feature Request]: Llama_Cpp_Python Support for embedding function HOT 1
- [CLN] JavaScript Client Tests HOT 3
- [Feature Request]: Allow specifying custom OpenAI endpoint for embedding with JS client (example : Azure)
- [Bug]: Attritube Error due to NumPy2.0. release. HOT 4
- [Bug]: Getting a Value Error when using the HuggingFace embedding function HOT 2
- [Bug]: Chroma.add terminates flask without any error HOT 1
- [Bug]: KeyError 'dimension' after upgrading from 0.4.24 to 0.5.3 HOT 2
- [Bug]: KeyError: 'included' after upgrading from 0.4.24 to 0.5.3 HOT 5
- [Bug]: Unable to delete the persistent directory from another program due to PermissionError HOT 6
- [Bug]: HTTPClient SSL Flag Does Not Work As Expected HOT 7
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