thanos VS air

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/

To enable live reloading in Go we will checkout the command tool, Air - Live reload for Go apps.

☁️ Repositório do Air

This is made possible thanks to the Air tool, which now comes with every project you create. The configuration is as follows:

At a recent job, we had slightly different containers for local dev; our backend containers (for a Go app) had Air [1] installed for live reloading, plus Delve [2] running inside the container for VS Code's debugger to connect to. We also had a frontend container for local dev, which didn't get deployed as a container, just as static files.

[1] https://github.com/cosmtrek/air

[2] https://github.com/go-delve/delve/

Air is an automatic reloading tool for Go applications. It keeps an eye on code changes and automatically restarts the application, making development more efficient.

Just to add to the list there is also https://github.com/cosmtrek/air

Do you use anything for live reloading? This is one aspect I miss when using gomponents compared to go templates, where I had a setup using Browsersync, which immediately refreshed whenever html/css/js changed. Now, since all HTML is within Go code, I have to recompile my go program to see changes, which takes up to ~5sec (I use https://github.com/cosmtrek/air for this).