Introducing Micrometer Application Metrics
summary
Micrometer becomes Spring Boot’s metrics façade, replacing Dropwizard in Boot 2 and back‑ported to 1.5, and wires to Prometheus, Datadog, InfluxDB, New Relic, Atlas, JMX and others. Code demos show a CompositeMeterRegistry with a Prometheus scrape endpoint and an Atlas registry publishing on a 10-second push interval, plus counters, gauges, timers, function counters, and mockable Clock for tests. Micrometer precomputes aggregates for hierarchical backends, supports histogram-based percentiles, and offers meter filters and property-driven enable/disable.
AI-written summary · about
chapters (7)
- 0:00Introduction and background
- 6:24Micrometer API overview
- 18:30Working with gauges
- 23:01Understanding timers
- 37:42Function counters and rates
- 44:02Auto-instrumentation in Spring Boot
- 56:23Q&A session
related talks
48mState of the Java Metrics Libraries
56mIntroduction to Spring Boot Application monitoring
01h 08m#Micrometer Mastery Unleash Advanced #Observability in #JVM Apps
44mDo It Yourself: Programmable Metrics using OpenTelemetry
58mGood to Great: from Spring Boot to Micronaut
57mLessons in Porting PiggyMetrics Spring Boot to MicroProfile
52mIs your JVM app flying blind? Unmask hidden issues with Observability superpowers!
52mSkyrocketing Development Of Your Microservices With Micronaut
