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Micrometer - 应用指标观测性门面
Micrometer is a vendor-neutral application observability facade that provides a simple metrics API over a variety of monitoring systems. Inspired by SLF4J, it allows instrumenting applications once and exporting telemetry data to multiple monitoring platforms.
Java
Added on 2025年6月22日4,643
Stars1,032
ForksJava
LanguageProject Introduction
Summary
Micrometer acts as the standard facade for collecting and publishing application metrics to various monitoring systems. It enables developers to instrument their code using a single, consistent API while retaining the flexibility to choose or change their observability backend at runtime.
Problem Solved
Traditional application instrumentation often ties code directly to a specific monitoring vendor's client library, leading to vendor lock-in. Micrometer solves this by providing an abstraction layer, allowing developers to switch or integrate multiple monitoring backends easily without code changes.
Core Features
Vendor-Neutral API
Offers a unified API for recording application metrics, independent of the underlying monitoring system.
Diverse Registry Implementations
Supports numerous monitoring systems out-of-the-box, including Prometheus, New Relic, Datadog, CloudWatch, and more.
Comprehensive Metric Types
Provides standard metric types like gauges, counters, timers, distribution summaries, and long task timers.
Efficient Data Collection
Designed to be low-overhead and production-ready for collecting metrics in distributed systems.
Tech Stack
Java
Spring Boot
JVM Languages
Various Monitoring Systems (Prometheus, Grafana, Datadog, etc.)
使用场景
Micrometer is ideal for any project or organization that requires consistent and flexible application metrics collection across different environments or monitoring tool preferences.
scenarioTitle：构建可重用库的指标埋点
Details
Develop a reusable library or framework that needs to expose performance and usage metrics, ensuring it works seamlessly with various end-user monitoring setups (e.g., Prometheus, Datadog, New Relic).
User Value
Enables library adoption across organizations with diverse monitoring stacks; avoids coupling library code to specific vendor APIs.
scenarioTitle：多环境部署的应用指标
Details
Build microservices or cloud-native applications intended for deployment into environments that may use different monitoring backends (e.g., Dev uses Prometheus, Prod uses Datadog).
User Value
Allows switching monitoring backend via configuration without changing application code; reduces operational overhead during environment transitions or vendor consolidation.
scenarioTitle：传统应用的现代化监控集成
Details
Instrument complex monolithic or legacy applications to gain visibility, integrating with modern monitoring tools while minimizing invasive code changes.
User Value
Provides a path to integrate legacy systems with modern observability platforms using a standard API, improving visibility and maintainability.
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