OpenMetrics VS prometheus

The latter is both the "official" client (under the prometheus GitHub org) and the author's own evolution path from the former. More importantly, it enforces that all metrics comply with the OpenMetrics specification.

The compatibility problem is "solved" when you have an objective compliance test. Like this one, for an OpenMetrics endpoint, that really makes it fast and easy to verify my code.

The new defacto standard metrics protocol is based on Prometheus metrics format. It's now published as OpenMetrics.

This is something that is actually on the road map, and something I have been assigned to. So you can expect to see this in the future, I will likely be implementing OpenMetrics endpoints that will be compliant with Prometheus & possibly promtail for Loki. I hope our status page located at `/status` will do for now.

The Prometheus format is now standardized as OpenMetrics, with a small test suite that I've used successfully. A quick websearch doesn't turn up any evidence that Umbrella or Office365 support it. I'm not aware of any explicit monitoring points for either service.

Yup. I worked on the RFC for this.

For example, OpenMetrics/Prometheus allows for much more sane monitoring format than SNMP. All "MIB" information is inline, it's served over HTTP, and it's supported by a lot of different monitoring systems.

Prometheus has established itself as a standard open-source tool for event monitoring and alerting and metrics collection. With OpenMetrics now a CNCF sandbox project, and OpenTracing and OpenCensus merging to become OpenTelemetry, opportunities have been created for new companies to provide monitoring and diagnostics solutions. While Datadog remains the 800-pound gorilla, a large number of startups and smaller players are offering a variety of monitoring solutions, and even finding a niche in deeper diagnostics, including more comprehensive solutions that include infrastructure level, Kubernetes cluster level, and microservice applications level monitoring and diagnostics all in one place, to help pinpoint the production issues quickly. I also saw a few vendors offering predictive diagnostic solutions. It seems the monitoring solution market will continue to be fragmented, with a couple of larger players and a number of smaller players competing on innovation.

Prometheus wants data in a specific format (value_name{label1="value1"} numbericValue) and an "exporter" is a middleware that reads data from something and exports it in Prometheus-compatible format (the format is being "opened" as OpenMetrics).

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.