Telegraf VS thanos

The Telegraf (v1.27.3) Net Input Plugin only reports total numbers - i.e., total bytes received by an interface.

I need some help with Filestat - https://github.com/influxdata/telegraf/tree/master/plugins/inputs/filestat

Telegraf’s Secretstores Plugin implementation on GitHub

That's the thing, I do need network_mode: host on telegraf in order to get host network statistics. See here or here

After screwing around with it for a while, I was able to get inputs.smart working... but I'm not thrilled with the answer. According to this in order for you to get the SMART data inside a container you need to edit the sudoers file inside the container.

I’ve been using the Jolokia agent with telegraf to push JVM metrics into InfluxDB (among other things). I think it can be used with Prometheus too.

Do you mean Telegraf?

I have two devices; both are connected to a Raspberry Pi using a USB converter as Slave 1 and 2. I want to get some readings using Telegraf software https://github.com/influxdata/telegraf/tree/release-1.26/plugins/inputs/modbus (happy to try any other linux software), but I'm having trouble (I'm seriously confused to be honest) with byte_order, data_type, and input register addresses.

Yeah i think you can use the grok processor, docs found here: https://github.com/influxdata/telegraf/tree/master/plugins/parsers/grok

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/