kubetail VS thanos

There is an existing project named kubetail, which is quite popular 3.2K starts https://github.com/johanhaleby/kubetail

Kubetail

Thanos - Highly available Prometheus setup with long term storage capabilities. CNCF Sandbox project. https://thanos.io Prometheus - The Prometheus monitoring system and time series database. Grafana - The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More Kubetail - Bash script to tail Kubernetes logs from multiple pods at the same time Searchlight - Alerts for Kubernetes linkerd2 Monitoring Mixin for Grafana - Grafana dashboards for linkerd2 monitoring and can work in standalone (default) or in multi cluster setup kuberhaus - Kubernetes resource dashboard with node/pod layout and resource requests Kubernetes Job/CronJob Notifier - This tool sends an alert to slack whenever there is a Kubernetes cronJob/Job failure/success Argus - This tool monitors changes in the filesystem on specified paths

Kubetail is really nice: https://github.com/johanhaleby/kubetail.

Is this the gui version of kubetail?

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/