prometheus VS blackbox_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.

https://github.com/prometheus/blackbox_exporter/blob/master/...

So you need 2 modules, one for each ip version. As for autamating setting these up, we deploy our Prometheus server with salt so we can use Jinja templating in all our Prometheus config files. That really cuts down on repeating boiler plate code.

This is also interesting for other reasons; in host downtime situations you can sometime see they will drop one type of traffic and not the other.

A Pi is more than enough to run a full monitoring stack. Why reinvent the wheel?

You can also use the blackbox_exporter to probe various endpoints. But in reality, you don't need to do this most of the time since the up metric gets you what you want.

Synthetic Monitoring is the Grafana Cloud implementation. It uses the blackbox_exporter

Prometheus blackbox_exporter. Free and open source.

Check something called blackboxexporter https://github.com/prometheus/blackbox_exporter

I have seen some people doing with these traditional relational databases, and I was wondering if it could be a good fit for prometheus+grafana as I have been messing around with prometheus BlackBox exporter (https://github.com/prometheus/blackbox_exporter) for web status monitoring.

You should look into the projects https://github.com/prometheus/node_exporter and https://github.com/prometheus/blackbox_exporter

You could use prometheus as a monitoring tool, blackbox_exporter to "export" the urls to prometheus, alertmanager for notifications, and grafana for nice gui dashboards (and maybe also notifications).