agent VS thanos

And has an agent that can be run on the host to monitor it: https://github.com/grafana/agent

For example, there are things like https://github.com/grafana/agent

Hey, I would like to lint my agent config in vscode. Did someone know where I can find the agent config JSON schema ? I've searched on https://github.com/grafana/agent and https://grafana.com/docs/agent/latest/ but cant find anything like this ...

Grafana Agent can stream data back to you.

At the time, Jaeger did not support OTEL format, which meant we needed our telemetry collector to export spans in Jaeger format. We were able to push this small fix to add a Jaeger exporter on the Agent.

Furthermore, would recommend Grafana Agent OR Prometheus Agent in this case since you probably don't need the Prometheus UI in each Cluster as well as the Alerting stuff that is inside Prometheus. (Mimir will do the ruling stuff for you). Grafana Agent also has an Operator mode if you want to use ServiceMonitor and PodMonitor CustomResources.

There were a bunch of alternatives to solve this before, like grafana agent [0], vm agent [1] or opentelemetry collector [2].

[0] - https://github.com/grafana/agent

[1] - https://github.com/VictoriaMetrics/VictoriaMetrics/tree/mast...

[2] - https://github.com/open-telemetry/opentelemetry-collector

This might be a reasonable use case for the Grafana Agent. It's basically a Prometheus instance, but without the local storage. Just forwards the data.

Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).

Sounds like you want something like Thanos

Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.

Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.

You can aggregate all your clusters Prometheus metrics together with a wonderful tool called Thanos. This will allow you to use just a single Grafana instance against Thanos and using a label select which cluster you wish to see metrics from. The downside of this, is that none of the Grafana dashboards from the internet will work as-is. You'll need to customize all of them for Thanos support. The other downside is, you have a single point of failure, and (see next item) you can't customize who can access what in regards to your dev vs production data/metrics/access.

Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.

You could look at something like Thanos and store your data in S3: https://thanos.io/