Prometheus - Monitoring system & time series database | Website analytics by TrustRadar
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prometheus.io Monitoring Alerting Time Series Database DevOps Cloud Native

Prometheus - Monitoring system & time series database

An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community. It is now a standalone open source project and maintained independently of any company. Prometheus collects and stores its metrics as time series data, i.e. metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels.

Unique Visits

90000

3000 / day

Total Views

150000

5000 / day

Visit Duration, avg.

00:03:45

3.2 page per visit

Bounce Rate

45%

  • Domain Rating

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Founded in

2012

Supported Languages

English, etc

Key Features of the Site

Multi-dimensional data model

Metrics are identified by a name and key/value pairs, enabling flexible querying and aggregation.

PromQL

A flexible query language to leverage this dimensionality for powerful analytics.

Efficient storage

Time series are stored in a highly efficient format, allowing for high performance and scalability.

Simple operation

Each server is independent and only relies on local storage, making it easy to operate and scale.

Precise alerting

Alerts are defined based on Prometheus's flexible PromQL and maintain dimensional information.

Multiple modes of graphing and dashboarding support

Prometheus supports a variety of visualization options, including a built-in expression browser and integration with Grafana.

Service discovery

Automatically discovers services to monitor in dynamic environments like Kubernetes, Docker Swarm, and others.

Pushgateway

Allows ephemeral and batch jobs to expose their metrics to Prometheus.

Exporters

A wide range of exporters are available to expose metrics from third-party systems as Prometheus metrics.

High availability

Supports federation and can be run in a highly available configuration.

Additional information

License

Apache License 2.0

Source Code

Available on GitHub

Community

Active community on GitHub, Slack, and mailing lists

Documentation

Comprehensive documentation available on the official website

Integration

Integrates with a wide range of third-party systems and services

Adoption

Used by companies like SoundCloud, DigitalOcean, Docker, and others

HTTP headers

Security headers report is a very important part of user data protection. Learn more about http headers for prometheus.io