thanos VS windows_exporter

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/

if you want to monitor your windows machine you can install a windows exporter from here. After installing you can start the service to start the windows exporter

The windows_exporter iis module has a number of app pool metrics.

Check out the windows_exporter. It uses native OS calls instead of WMI where it can to reduce overhead.

Would this do what you're asking for? https://github.com/prometheus-community/windows_exporter

Windows-exporter => InfluxDB => Grafana which displays on a 10” tablet in the lounge. I know what the normal CPU, RAM, Disk write number should be so it’s easy to see everything is good at a glance. Grafana dashboard.

Try the windows exporter. It uses native calls for a lot of the common data gathering. Much more efficient than WMI.

Try windows_exporter with process-collector whitelist https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.process.md

I deployed Prometheus Windows Exporter on AKS (Kubernetes v. 1.24.6) using the following instructions: https://github.com/prometheus-community/windows_exporter/blob/master/kubernetes/kubernetes.md