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wtk-ns / metrify-spring-boot-starter

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Annotation-driven Micrometer metrics for Spring Boot with dynamic SpEL tags, reactive support, and zero boilerplate

java metrics metrify micrometer spring
17
0
100% credibility
Found Mar 24, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Java
AI Summary

A Spring Boot library that enables annotation-driven metrics collection using Micrometer, including gauges, counters, timers, summaries, and cached values, with startup validation and optional Grafana dashboard generation.

How It Works

1
🔍 Discover easy monitoring

You hear about a simple add-on that lets you track your app's performance like user counts, speeds, and sizes without extra hassle.

2
📥 Add the helper

You include this handy tool in your project just like adding any other useful piece.

3
✨ Tag what matters

You place friendly labels on the parts of your app you want to watch, like checkout buttons or data caches.

4
▶️ Run your app

Start your application as usual, and it quietly begins collecting performance snapshots behind the scenes.

5
📊 Check live stats

Visit a special page in your app to see real-time numbers on activity, sizes, and timings updating smoothly.

6
🎨 Create dashboards

Flip a switch to automatically generate beautiful charts and graphs for your favorite monitoring dashboard.

✅ Monitor effortlessly

Now you always know how healthy your app is, spotting issues early and celebrating smooth performance.

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AI-Generated Review

What is metrify-spring-boot-starter?

Metrify-spring-boot-starter is a Java annotation-driven starter that brings zero-boilerplate Micrometer metrics to Spring Boot apps. It solves Micrometer's deliberate lack of built-in annotations for gauges, counters, summaries, and timers by letting you tag methods or fields directly. Developers get dynamic SpEL tags, reactive support for Mono/Flux/CompletableFuture, and an actuator endpoint for auto-generated Grafana dashboards.

Why is it gaining traction?

It stands out by delivering annotation-driven metrics with dynamic parameter tags via SpEL, skipping the manual MeterRegistry boilerplate most alternatives force. Reactive support and cached gauges for expensive queries hook devs on modern Spring Boot stacks, while startup validation and one-click Grafana JSON export make observability instant. No other Micrometer extension matches this combo of ease and power.

Who should use this?

Spring Boot backend engineers building microservices with WebFlux or async services, needing quick metrics on business flows like order processing or cache sizes. Teams using Prometheus/Grafana who hate wiring timers and counters manually. Java devs on Java 21+ evaluating lightweight observability without full APM tools.

Verdict

Worth a spin in a side project or staging—solid docs, runnable Docker demo, and clean Spring Boot integration make it easy to test. With just 17 stars and 1.0% credibility score, it's early-stage and unproven at scale, so skip for production until more adoption.

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