MicroProfile Metrics: Practical Use Cases
summary
Demonstrates adding concrete metrics to Java services by exposing /metrics in Prometheus format on Payara Micro + Prometheus and instrumenting endpoints with @Metric Counter, Gauge, Meter, Timer. Shows a demo mixing a local DB and remote IMDb plot, uses fault tolerance (timeout + fallback) and increments a counter each fallback so failures are visible; Prometheus graphs the rate and timings (example total requests ~28 during demo). Works end-to-end: HTTP-exposed metrics solve JMX limitations for short-lived JVMs and containerized microservices.
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chapters (13)
- 0:00Start
- 2:59Why Metrics
- 3:38Why We Need Metrics
- 4:15Why Do You Need Matrix
- 5:14Non Devops
- 7:41Options To Retrieve Metrics from Your Applications
- 11:40Why Do Why Do We Need Micro Services
- 19:10The Configure Spec
- 19:35Fault Tolerance
- 28:24Analyze the Metrics
- 28:40Prometheus Format
- 32:27Orion Metric
- 44:39Advanced Queries
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