Prometheus

Database

Prometheus is an open-source monitoring system and time series database designed to power your metrics and alerting needs. It offers a powerful and flexible platform for collecting and querying time series data, enabling you to gain valuable insights into your systems and applications.

• Dimensional data: Prometheus implements a highly dimensional data model. Time series are identified by a metric name and a set of key-value pairs.
• Powerful queries: PromQL allows slicing and dicing of collected time series data in order to generate ad-hoc graphs, tables, and alerts.
• Great visualization: Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template language.
• Efficient storage: Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.
• Simple operation: Each server is independent for reliability, relying only on local storage. Written in Go, all binaries are statically linked and easy to deploy.
• Precise alerting: Alerts are defined based on Prometheus's flexible PromQL and maintain dimensional information. An alertmanager handles notifications and silencing.
• Many client libraries: Client libraries allow easy instrumentation of services. Over ten languages are supported already and custom libraries are easy to implement.
• Many integrations: Existing exporters allow bridging of third-party data into Prometheus. Examples include system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics.

Prometheus is 100% open source and community-driven. All components are available under the Apache 2 License on GitHub. It is a Cloud Native Computing Foundation graduated project, ensuring a robust and well-supported ecosystem.