chia_exporter VS prometheus

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.

I've continued to improve my Chia monitoring (despite still not farming any XCH; but that was never really the point, right?). I'm collecting logs from both the Chia node and the plotting processes with promtail and loki. I've also added wallet balances to the prometheus chia_exporter (I find it looks much better to show my wallet balance in mojo, not 0 thanks to some official and unofficial faucets).

Nice! I made one too: https://github.com/retzkek/chia_exporter

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.

Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.

Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.

Prometheus

Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

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