Prometheus is a leading open-source monitoring solution designed for systems and services. It enables users to instrument, collect, store, and query metrics for various use cases including alerting and dashboarding. Engineered for the cloud-native world, Prometheus seamlessly integrates with Kubernetes and other cloud and container managers for continuous service discovery and monitoring. It is a graduated project of the Cloud Native Computing Foundation (CNCF).
Key Features:
- Dimensional Data Model: Prometheus models time series data using a flexible dimensional data model, where each time series is identified by a metric name and a set of key-value pairs.
- Powerful Queries (PromQL): The PromQL query language allows for powerful querying, correlation, and transformation of time series data, essential for visualizations and alerts.
- Precise Alerting: Alerting rules are built on PromQL, leveraging the dimensional data model. A separate Alertmanager component handles notifications and silencing of alerts.
- Simple Operation: Prometheus servers operate independently with local storage. Developed in Go, its statically linked binaries ensure easy deployment across diverse environments.
- Instrumentation Libraries: It offers a wide array of official and community-contributed metrics instrumentation libraries supporting most major programming languages.
- Ubiquitous Integrations: Prometheus boasts hundreds of official and community-contributed integrations, facilitating easy metric extraction from existing systems.
Prometheus is 100% open source and community-driven, with all components available under the Apache 2 License on GitHub.
