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Prometheus

by Prometheus Authors · Since 2012
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorPrometheus Authors
Year launched2012
StatusActive
Location1 Letterman Drive, San Francisco, CA 94129, US
Countries servedGlobal
Languages9
Integrations16+
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About Prometheus

Prometheus is a monitoring software from Prometheus Authors that provides metrics and monitoring for the systems and services. It combines a dimensional data model, a flexible query language, and an efficient time series database so users can effectively monitor cloud-native environments. Prometheus is open-source, supporting community governance and ensuring transparency in development. It includes modern alerting features to notify users of important incidents. The tool is designed to gather metrics from configured targets at specified intervals, allowing for comprehensive data analysis. Key capabilities: dimensional data model flexible query language efficient time series database modern alerting open-source governance Best for: DevOps teams that need to monitor the performance of cloud-native applications and infrastructure.

Prometheus has firmly established itself as a leading open-source solution for metrics and monitoring, particularly excelling in the burgeoning cloud-native landscape. Its core strength lies in its flexible dimensional data model, where metrics are uniquely identified by a name and a set of key-value pairs. This allows for incredibly granular and flexible querying, correlation, and transformation of time-series data using its powerful PromQL query language. Whether for real-time dashboards or precise alerting, PromQL empowers users to gain deep insights into their systems. While Prometheus offers a basic web UI for exploring data, its true power in visualization is unlocked when paired with external tools like Grafana, which provides rich, customizable dashboards. This combination is a de facto standard in modern monitoring, allowing for both robust data collection and compelling visual representation. The alerting mechanism, built on PromQL, seamlessly integrates with Alertmanager to handle notifications, ensuring critical issues are promptly addressed without overwhelming teams.

Pros & Cons

What users like
  • +Open-source and cost-effective with strong community support.
  • +Integrates seamlessly with Grafana for rich visual dashboards.
  • +Flexible data model and powerful PromQL query language.
  • +Scales well for cloud-native and containerized environments.
  • +Supports alerting and monitoring across diverse systems.
What users flag
  • Steep learning curve for setup and PromQL usage.
  • Limited built-in long-term storage and clustering capabilities.
  • UI is basic and relies on external tools for visualization.
  • Requires manual configuration for service discovery and exporters.
  • Performance can degrade with high cardinality or large-scale deployments.

Features

Key features

Dimensional Data Model
Flexible model using metric names + key-value labels to identify time series
PromQL
A powerful query language for slicing, dicing, and aggregating metric data
Precise Alerting
Alerting rules using PromQL, with separate Alertmanager for notification delivery and silencing
Simple Operation
Runs standalone, requires no external dependencies, written in Go
Kubernetes Integration
Automatically discovers and monitors Kubernetes workloads
Instrumentation Libraries
Libraries in multiple languages for exporting custom application metrics
Extensive Integrations
Hundreds of community-built exporters and integrations
Cloud-Native Ready
Designed for containerized, dynamic infrastructure
100% Open Source
Under Apache 2.0 License, community-governed

Additional features

Time-series data collection – Continuously scrapes metrics from configured targets at intervals.
Flexible dimensional model – Identifies series by metric name and key-value label pairs.
Powerful PromQL – Rich query language for filtering, aggregating, and analyzing metrics.
Built-in alerting rules – Create alerting conditions directly using PromQL expressions.
Alertmanager integration – Sends alerts via email, Slack, PagerDuty, and more; supports grouping and silencing.
Basic built-in dashboard – Minimal UI for graphing metrics and running queries.
Grafana integration – Supports Grafana as a powerful visualization front-end.
Kubernetes service discovery – Automatically detects services and pods in Kubernetes clusters.
Static and dynamic target discovery – Supports file-based, DNS, and API-based service discovery.
Exporter support – Node exporter, Blackbox exporter, and more for collecting system and service metrics.
Client libraries – Official and community SDKs in Go, Java, Python, Ruby, etc. for instrumenting apps.
Pushgateway support – For short-lived jobs to push metrics temporarily.
Remote write/export – Sends metrics to external systems like Thanos, Cortex, or InfluxDB.
Sharding and federation – Supports horizontal scaling using federation across Prometheus instances.
Data retention configuration – Allows setting how long data is stored locally.
Statically compiled binaries – Easy to deploy without external dependencies.
Thanos/Cortex compatibility – Enables long-term storage and horizontal scalability.
Authentication via proxy – No built-in auth, but supports external auth layers.
Multi-target scraping – Simultaneously monitors hundreds to thousands of endpoints.
Open metrics format – Based on the OpenMetrics standard for metric exposition.
Robust documentation – Extensive official guides and best practices.
Cloud-native toolchain compatibility – Works well with Docker, Helm, Terraform, and others.
Alert templating – Customize alert messages using Go templating syntax.
Community plugins and exporters – Massive community ecosystem for integration and extension.

Pricing

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Countries & Languages

Global
Countries served
9
Interface languages
11
Billing currencies

Interface languages

EnglishFrenchGermanSpanishItalianPortugueseJapaneseKoreanChinese

Billing currencies

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