![]() To better understand how Prometheus works, let's take a closer look at its essential components. Prometheus stores the scraped data, which you can analyze with the Prometheus Query Language (PromQL). ![]() The target may be a third-party application or a company's instrumented applications. The Prometheus architecture facilitates the discovery and scraping of targets that generate required data. The primary method of data collection is scraping metrics from instrumented applications and services, which expose metrics in a plaintext format via HTTP endpoints. Prometheus has various components that work together to track and report on system health, behavior, and performance. Together with its companion Alertmanager service, Prometheus is a flexible metrics collection and alerting tool. Kubernetes), applications, and services (e.g. Supported "targets" include infrastructure platforms (e.g. Prometheus is open-source software that collects metrics from targets by "scraping" metrics HTTP endpoints. It gathers, organizes, and stores metrics along with unique identifiers and timestamps. Prometheus is a monitoring solution for recording and processing any purely numeric time-series. We will also look at alternative monitoring tools to help you make the right choice for your organization's needs. This article answers these questions and explains how Prometheus monitoring can benefit your company. But how effective is Prometheus, and what are its limits? The Prometheus monitoring platform is one of the most popular TSDBs available today. As a result, telemetry data and time-series databases (TSDB) have exploded in popularity over the past several years. The best performing organizations rely on metrics to monitor and understand the performance of their applications and infrastructure.
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