Question 1

How to expose metrics in Spring Boot with Prometheus Java client?

Accepted Answer

Integrate by adding the client library as a dependency and configuring a servlet or using Spring Boot Actuator's Prometheus endpoint. The library's HTTP server support makes it straightforward to serve metrics at /metrics.

Question 2

Prometheus Java client vs Micrometer: which should I use?

Accepted Answer

Choose Prometheus Java client for deep, official integration with Prometheus-only stacks. Micrometer is better for multi-backend flexibility but adds abstraction; your decision hinges on whether you're committed to Prometheus.

Question 3

How to monitor JVM metrics without code changes?

Accepted Answer

Use the included Java agent or JMX exporter, which automatically collects metrics like memory usage and garbage collection, as noted in the key features for zero-instrumentation monitoring.

Question 4

Can I use this with Kubernetes and Prometheus Operator?

Accepted Answer

Yes, it's fully compatible—expose metrics via HTTP, and Prometheus Operator can scrape them using ServiceMonitor CRDs. Ensure your pods have the correct annotations and endpoints set up.

Question 5

How to handle metrics from short-lived batch jobs?

Accepted Answer

Leverage the Pushgateway support: batch jobs push metrics to the gateway, which Prometheus scrapes. This is ideal for ephemeral processes, as described in the library's features.

Question 6

What are the performance impacts of using this library?

Accepted Answer

Designed for minimal overhead, but in high-throughput scenarios, metric collection and HTTP serving might add latency. Test in your environment to gauge impact, as the library prioritizes reliability.

Prometheus

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