node-exporter-textfile-collector-scripts VS chiamon

For anyone still wondering, the best way I found was to use btrfs_stats.py from this repo and checking when errors are over 0.

Here are some examples https://github.com/prometheus-community/node-exporter-textfile-collector-scripts

node_exporter apt.sh collector

Hi. I use this python script and used this dashboard as template.

That's right.. The smartmon.py doesn't support NVMe SSDs originally so I make it compatible with my SAMSUNG PM983 and very likely it won't work on other SSDs... nvme_metrics.sh seems like a good one to use. Ahh, I didn't notice this.

I’m a bit of a monitoring nerd, and when I first got into chia I wrote the chia-exporter for Prometheus and put together chiamon, which just glues together a bunch of industry-standard monitoring tools (which I was already running anyways). Seeing people struggle with installing and configuring all that showed me that there’s a need for a simpler solution for less-technical people who only care about monitoring chia. More than I was willing or able to take on, so kudos. I probably don’t have a lot of time to help with your project either, but I’d be happy to help out where I can.

Hey, I also have something similar - but sadly not for plotting (yet).https://imgur.com/a/rPuqK3c.Used https://github.com/retzkek/chiamon and customized it a bit.

Thanks! I don't have the resources (or motivation) to test and package for all the different ecosystems that chia can run on. I myself am using a niche system - freebsd. If there was community interest in building it out maybe a github project could be in the future. Besides, there are already some great setups out there using grafana.

There are tools like ChiaMon that you could use; https://github.com/retzkek/chiamon

I use Grafana and Prometheus, with various exporters to collect metrics on everything. Add promtail and Loki for logs to really spice it up. See my example setup: https://github.com/retzkek/chiamon

The goal is to have some kind of dashboard (like chiamon) with all active/inactive plotters and be able to control them through the network. Ideally even upload the finished plots directly to the NAS through the network. Following the HiveOS example.