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Prometheus - An Open-Source Monitoring System & Time Series Database
Prometheus is a leading open-source monitoring and alerting system designed to collect and process metrics as time series data, offering powerful querying, visualization, and alerting capabilities for modern dynamic environments.
Go
Added on 2025年7月5日59,306
Stars9,638
ForksGo
LanguageProject Introduction
Summary
Prometheus is a standalone open-source project and a leading monitoring solution, built around a time series database. It collects metrics from targets by scraping HTTP endpoints, stores them, runs rules over the data, and can trigger alerts.
Problem Solved
Modern system architectures, particularly cloud-native and containerized environments, present challenges for traditional monitoring. Prometheus solves this by providing a flexible, pull-based metric collection model and powerful querying for dynamic service landscapes.
Core Features
Multi-dimensional data model
Multi-dimensional data model (time series defined by metric name and key/value pairs).
Flexible query language (PromQL)
Flexible query language (PromQL) to slice and dice time series data.
Autonomous single server nodes
No reliance on distributed storage; single server nodes are autonomous.
Time series collection via a pull model
Time series collection happens via a pull model over HTTP.
Target discovery
Target discovery via service discovery or static configuration.
Powerful alerting
Alerting based on PromQL is handled by an Alertmanager.
Visualization integration
Integration with various visualization tools, most notably Grafana.
Tech Stack
Go
使用场景
Prometheus is widely adopted for monitoring in various environments, from traditional servers to complex cloud-native setups. Common use cases include:
Monitoring Microservices on Kubernetes
Details
Collects metrics from services running in Kubernetes clusters using service discovery and dynamic scraping.
User Value
Provides deep visibility into distributed applications, enabling rapid debugging and performance optimization.
Infrastructure Monitoring
Details
Uses exporters to gather metrics from hosts (Node Exporter), databases (various database exporters), and network devices.
User Value
Ensures the health and performance of the underlying infrastructure supporting applications.
Application Performance Monitoring (APM)
Details
Tracks custom application-level metrics exposed via client libraries (e.g., request duration, error rates, queue sizes).
User Value
Gives developers and operations teams insight into application behavior and user experience.
Proactive Alerting
Details
Integrates with Alertmanager to define and route alerts based on thresholds or patterns in metric data.
User Value
Ensures critical issues are detected and acted upon quickly, minimizing downtime.
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