#general

ZincObserve Release and Grafana Dashboard

TLDR Prabhat announced the new ZincObserve release and shared Grafana dashboard details. Sebastian suggested improvements to the dashboard for easier datasource customization.

6mo

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May 26, 2023 (6 months ago)

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Prabhat

04:55 PM

@channel We just made a new release of ZincObserve https://github.com/zinclabs/zincobserve/releases/tag/v0.4.4 . Many new features - PromQL support for metrics, VRL enrichment, improved dashboards, traces, memory efficiency and a lot more fixes. Would love to get your feedback.

Image 1 for <!channel> We just made a new release of ZincObserve <https://github.com/zinclabs/zincobserve/releases/tag/v0.4.4> . Many new features - PromQL support for metrics, VRL enrichment, improved dashboards, traces, memory efficiency and a lot more fixes. Would love to get your feedback.

May 29, 2023 (6 months ago)

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Sebastian

09:25 AM

Have you guys published an official Grafana dashboard to keep and eye on these internal components

Prabhat

09:36 AM

Nah. The above dashboard is from ZincObserve. We do have the same dashboard in grafana too, You could use this from our grafana -

09:38

Prabhat

09:38 AM

09:40

Prabhat

09:40 AM

I tried importing it in latest grafana but after the import it did not work. Let me know if it works for you

09:41

Prabhat

09:41 AM

Try this too. Hopefully one of these work for you. I could not get either of these to work wit the latest version though.

Sebastian

09:51 AM

This one works but need lots of modifications to make it work. I would suggest defining a global datasource variable so that is it used in each panel. In this way as everyone has a different Prometheus source they just need to change it in one place.

10:04

Sebastian

10:04 AM

Example dashboard with the variable

01:34

Sebastian

01:34 PM

Updated version of the dashboard:

OpenObserve

OpenObserve is an open-source, petabyte-scale observability platform for the cloud native realm, offering a 10x cost reduction and 140x less storage use compared to competitors like Elasticsearch or Splunk. Built in Rust for exceptional performance, it offers comprehensive features like logs, metrics, traces, dashboards, and more | Knowledge Base powered by Struct.AI

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