goflow2 VS prometheus

I use goflow2 to do something like this. I don't specifically use syslog itself for this, but mtail to generate the metrics.

I've been using this one: https://github.com/netsampler/goflow2

Take a look at goflow2 which is based on Cloudflare's flow analysis pipeline.

I'm not particularly familiar with netflow formats, but this collector emits Prometheus metrics.

GoFlow2 is a high-performance sFlow/IPFIX/NetFlow collector that gathers network information and serializes it in a common format. This fork of CloudFlare's GoFlow provides horizontal scalability, consistent format and the ability to work with raw samples and build aggregation and custom enrichment. Our thanks for this suggestion goes to SuperQue.

You want something like goflow2.

There's goflow2, which is a fork of CloudFlare's goflow netflow collector.

I'd suggest looking at goflow2 before you write something new.

I personally use goflow2, but my needs are pretty simple.

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.