chia-monitor VS Grafana

I have an Ubuntu 22.04 box running Chia, and one third-party script, Chia Monitor. I also have a Windows 11 box in my office. Both sytems were running Chia 1.7.0.

I'm really happy with chia-monitor

If you're like me and run the Chia-monitor to monitor your farm and harvesters, you may have to reinstall it from the chia-monitor directory with the command pipenv install --python=3.9 .

Look at the Chia Monitor. Its using RPC for all metrics. https://github.com/philippnormann/chia-monitor

I know you're both fans of the Prometheus/Grafana stack. Do you have a preferred exporter for farmer metrics? I like Philipp Normann's [Chia Monitor](https://github.com/philippnormann/chia-monitor) because it uses Chia's RPC API rather than mtail'ing logs, and it has the potential to replace Chiadog too. I would like to see the Chia devs continue to provide a wide set of metrics for these exporters to pull, if you could please give them a gentle nudge!

Grafana dashboards can be really nice. I've been monitoring my farm and harvester for months now using chia-monitor as it provides me with all the information I care about, and I can check it on my phone.

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.