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You can rely on it when other parts of your infrastructure are broken, and
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Server is standalone, not depending on network storage or other remote services. Prometheus is designed for reliability, to be the system you go toĭuring an outage to allow you to quickly diagnose problems. Multi-dimensional data collection and querying is a particular strength. In a world of microservices, its support for It fitsīoth machine-centric monitoring as well as monitoring of highly dynamic Prometheus works well for recording any purely numeric time series. Other API consumers can be used to visualize the collected data.
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Series from existing data or generate alerts. Locally and runs rules over this data to either aggregate and record new time Intermediary push gateway for short-lived jobs. Prometheus scrapes metrics from instrumented jobs, either directly or via an This diagram illustrates the architecture of Prometheus and some of Them easy to build and deploy as static binaries. Most Prometheus components are written in Go, making
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You will need some information to find out what is happening with your application. Let's assume you are running a web application and find that the application is slow. Metrics play an important role in understanding why your application is working in a certain way. For a web server it might be request times, for a database it might be number of active connections or number of active queries etc. What users want to measure differs from application to application. In layperson terms, metrics are numeric measurements, time series mean that changes are recorded over time.