Centralized Infrastructure Monitoring
Collect metrics from servers, network devices, and cloud resources into a unified monitoring platform.
Prometheus
Open-source systems monitoring and alerting toolkit
By Prometheus Authors and CNCF
Monitoring
Monitoring
Alerting
Metrics
Product Overview
Prometheus is a leading open-source monitoring and alerting toolkit designed for reliability and scalability in modern infrastructure. It collects and stores time-series metrics data, enabling powerful querying and real-time alerting across systems and applications. Widely adopted in DevOps and SRE workflows, Prometheus integrates seamlessly with cloud platforms, container orchestration systems, and visualization tools like Grafana.
Prometheus provides a highly dimensional data model allowing users to define metrics with key-value pairs which facilitate precise and flexible querying. It supports multi-dimensional data collection and alerting, enhancing observability across distributed systems. Its integration with Kubernetes, cloud providers, and alert management systems empowers teams to monitor infrastructure, applications, and services with precision. Designed for scalability, Prometheus supports federation, sharding, and long-term storage integrations.
Headquarters and Est. In
Berlin, Germany — Est. 2012
No. of Employees
Not specified
Customer Demography
Global
Customer Domains
Technology
Cloud
Fintech
E-commerce
Use Case Deep Dive
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Application Performance Monitoring and Troubleshooting
Instrument applications and collect custom metrics for deep performance insights.
Multi-Cloud Resource Monitoring
Unify monitoring of services and infrastructure deployed across multiple cloud providers.
Database Performance Monitoring
Track query performance, latency, and resource consumption of critical databases.
Network Performance Monitoring
Monitor network devices and traffic to ensure optimal connectivity and throughput.
Kubernetes Cluster Monitoring
Collect and visualize metrics from Kubernetes clusters and workloads.
Custom Metrics Instrumentation
Instrument applications and services to expose business and technical metrics.
Incident Detection and Management
Automate alerting on metric anomalies and integrate with incident response tools.
Capacity Planning and Trend Analysis
Analyze historical metric trends to forecast capacity needs and growth.
Multi-Tenancy and Team Segmentation
Use labels and query filtering to manage metric visibility for multiple teams or customers.
Use Case Details
Integration Details
Feature Details
Key Features
Explore the core capabilities that make Prometheus stand out.
Multi-dimensional Data Model
Store data with key-value pairs enabling sophisticated metric labeling and organization.
Flexible Query Language (PromQL)
Powerful querying of time-series data using Prometheus Query Language.
Time-series Data Collection
Efficient collection and storage of numeric time-stamped metrics from targets.
Service Discovery
Dynamic discovery of monitoring targets without manual configuration.
Rule-based Alerting
Define alerts with complex rules evaluated on metrics in real time.
Efficient Data Storage
Optimized local storage for high-performance time-series data management.
High Availability and Federation
Supports federation of multiple Prometheus servers for scalability and redundancy.
Extensive Exporters Ecosystem
Use pre-built exporters to collect metrics from popular services and hardware.
Powerful Visualization with Grafana Integration
Visualize Prometheus metrics through customizable dashboards in Grafana.
Exporters for Kubernetes
Dedicated metrics exporters to monitor Kubernetes clusters and workloads.
Advanced Query API
Restful API allowing programmatic access to metrics and query execution.
Label-based Aggregation and Filtering
Aggregate and filter metrics effectively using labels in queries and alerts.
Built-in Expression Browser
Interactive UI for exploring and debugging Prometheus queries.
Support for Histogram and Summary Metrics
Collect and analyze distribution of event sizes or durations.
Scrape Target Relabeling
Modify and manipulate labels during metric collection dynamically.
Service-Level Objective (SLO) Monitoring
Set and monitor SLOs based on Prometheus metrics and alerts.
Integration with Alertmanager
Centralized management of alert notifications and silencing.
Pushgateway Support
Capture metrics from batch jobs and short-lived processes.
Label-based Multi-tenancy
Support monitoring for multiple teams or services using label segmentation.
Client Libraries for Custom Metrics
SDKs for instrumenting applications to expose custom metrics.
Efficient Label Matching
Optimize queries using precise label matchers for performance.
Alert Rule Templates
Reusable templates for defining common alerting rules across environments.
Integration with Cloud-native Ecosystems
Seamlessly integrate with Kubernetes, Docker, and cloud platforms.
Contextual Integrations
Not just "integrates with" – here's the specific value each integration delivers:
Grafana
Delivers: Popular open-source visualization and dashboarding platform for Prometheus data.
Alertmanager
Delivers: Alert management system that handles alerts sent by Prometheus server.
Node Exporter
Delivers: Exporter for exposing hardware and OS metrics from *nix systems.
Kube-state-metrics
Delivers: Exporter for Kubernetes cluster state metrics.
AWS CloudWatch
Delivers: Cloud monitoring service from AWS integrated with Prometheus.
Azure Monitor
Delivers: Microsoft Azure cloud monitoring integrated with Prometheus.
Resources
Latest insights, guides, and templates to accelerate your decisions.
Downloads
Downloads coming soon
Resources and templates will be available soon
Case Studies
Weaveworks case study with Prometheus
SoundCloud's experience with Prometheus
Platform Updates
Prometheus 2.33 Release Notes
Videos
Watch Prometheus in action.
What is Prometheus? | Cloud Native
Getting Started with Prometheus
Pricing & Plans
Open Source
Free
Prometheus on Managed Platforms
Varies
Frequently Asked Questions
Common questions about Prometheus:
Prometheus is used for monitoring systems, collecting and storing time-series metrics and alerting on defined conditions. It is widely used for infrastructure, application, and service monitoring.
Yes, Prometheus is open-source software released under the Apache 2 license. Users can deploy and run Prometheus free of charge.
Prometheus supports counters, gauges, histograms, and summary metrics. It uses a multi-dimensional model with labels for metric organization.
Prometheus collects metrics by scraping HTTP endpoints exposed by monitored targets at defined intervals. It also supports push methods via Pushgateway for ephemeral jobs.
Yes, Prometheus supports federation, sharding, and remote storage integrations allowing scalability for large and distributed environments.
Yes, Prometheus has built-in rule evaluation for alerting and integrates with Alertmanager for notification management.
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