Comment by jaysh
16 hours ago
ClickHouse replacing Loki finally made our observability stack feel 'right'. It really is a powerhouse for logs and general analytical queries.
16 hours ago
ClickHouse replacing Loki finally made our observability stack feel 'right'. It really is a powerhouse for logs and general analytical queries.
How do you use it for visualization? Do you use ClickStack? or something else?
Still via Grafana. I ran it side-by-side with Loki and despite trying to optimise Loki and using ClickHouse out of the box - it really was shocking how much faster ClickHouse was for every single query (e.g. in the last 12 hours give my the frequency of logs with a particular JSON event or even "find this log entry, then join back and find the number of times a different entry appears within the same correlation_id)
What does the layout in click house look like? Do the input logs need to have a very defined structure?
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Interesting, so you can bind a Clickhouse table as an extension to Grafana? Would you make a little Gist / post about it to show?
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I have used SigNoz https://signoz.io/ for that
Worth noting both hyperdx and maple too for other observability on clickhouse options. https://www.hyperdx.io/ https://maple.dev/
Same question here!
Just replied to that question! Let me know if you have other questions.