chiamon VS Grafana

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.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.