For example the application can become slow when the number of requests are high. 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. Time series means that changes are recorded over time. In layperson terms, metrics are numeric measurements. multiple modes of graphing and dashboarding support.targets are discovered via service discovery or static configuration.pushing time series is supported via an intermediary gateway.time series collection happens via a pull model over HTTP.no reliance on distributed storage single server nodes are autonomous.a multi-dimensional data model with time series data identified by metric name and key/value pairs.metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels.įor more elaborate overviews of Prometheus, see the resources linked from the Prometheus collects and stores its metrics as time series data, i.e. The project's governance structure, Prometheus joined theĬloud Native Computing Foundation in 2016Īs the second hosted project, after Kubernetes. It is now a standalone open source projectĪnd maintained independently of any company. Since its inception in 2012, manyĬompanies and organizations have adopted Prometheus, and the project has a veryĪctive developer and user community. Monitoring and alerting toolkit originally built at
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