mentoring VS thanos

Very saddened to hear this, look at this oppportunity - https://github.com/cncf/mentoring/tree/main/programs/lfx-mentorship/2023/02-Jun-Aug if u feel that u are atleast 50-60% aware with the required skills do apply.

Maybe check out the CNCF Mentorship Program. Lots of projects to contribute to: https://github.com/cncf/mentoring/blob/main/lfx-mentorship/README.md

Every quarter, this program begins with different organizations proposing project ideas that they’d like the mentees to work on. For a period of around 2 weeks, they propose their ideas over the cncf/mentorship repository.

The LFX mentorship is a remote learning opportunity for the open-source contributors who will be working for 12 weeks under the guidance of mentors who are maintainers and developers of the particular project and they help the mentees to contribute to the community and project. This mentorship program is organized thrice a year i.e. Spring, Summer, and Fall months. There are many organizations like CNCF, Hyperledger, and so on which provide mentorships in different projects of it under the umbrella of LFX.

As part of the program, CNCF is encouraging Open Source contributors to get paid while working on various cloud-native projects like Kubernetes, Litmus, Prometheus, etc. The application process is explained in detail here.

This program would never have finished without the hard work of Ihor Dvoretskyi and CNCF community members, thank you so much for everything.

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/