Prometheus monitoring

Prometheus is an open-source monitoring software that is very popular in the industry. Prometheus is easy to customize, and produces metrics without impacting application performance. It was created by SoundCloud in 2012, and has become part of the Cloud Native Computing Foundation in both 2016 and 2018. Prometheus monitoring is now a process utilized widely within cloud companies and DevOps teams. 

Prometheus contributes to the DevOps system by monitoring cloud-native applications and infrastructure, and by watching over hundreds of microservices. Prometheus monitoring eliminates the amount of alerts in a system, only sending alerts when major issues need to be solved. Furthermore, the Prometheus Node Exporter can be adjusted to retrieve data from any client, which can be very helpful. Along with this, Prometheus monitoring can be used to provide clarity into systems and how to run them.

Key Features of Prometheus

Prometheus monitoring includes a data system to display time series data, organized by the metric name and their values. It uses PromQl, which is a responsive language. Also, the Prometheus servers are independent and able to gather time series by a pullover method over HTTP. Their pushing time series is supported by intermediary gateway, they utilize static discovery used to find targets, and they use multiple modes used for graphing and dashboarding support.

The Prometheus monitoring environment is made up of their main Prometheus server, which scrapes and stores time series data; a client library for arranging code; a push-gate way for short lived jobs; special- purpose exporters for certain services, such as HAProxy, StatsD, Graphite, etc; and alertmanager support tools. 

The architecture of Prometheus consists of scraping metrics from instrumented jobs, either directly, or through an intermediary push gateway for short-lived jobs. The system stores all scraped data locally and runs rules over this data to either aggregate and record new time series from existing data, or generate alerts. 

Why is Prometheus Monitoring the Industry Standard?

For a multitude of reasons. Because it supports multidimensional data collection and data queuing, Prometheus is reliable, allowing customers to quickly diagnose problems. Since each server is independent, it can be leaned on when other infrastructure is damaged, without requiring additional infrastructure. There are other reasons why Prometheus monitoring is the go-to choice for those who rely on microservices and containers. Prometheus:

  • Features a customizable toolkit, and delivers metrics without creating lag time on performance.
  • Provides a key component for a modern DevOps workflow: keeping watch over cloud-native applications and infrastructure such as Kubernetes
  • Keep tabs on hundreds of microservices .
  • Only alerts on critical responses such as production issues, incident response, post- mortem analysis, and metrics.
  • Features a Node Exporter that can be customized to fetch data from any clients.
  • Works as effectively “one service to rule them all.”
  • Confers an immediate and substantial gain in visibility.