Debugging Microservice Latency with New Relic Distributed Tracing and Service Map
Learn how to use New Relic Distributed Tracing and Service Map to identify and debug latency bottlenecks in complex Java microservice architectures.
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Learn how to use New Relic Distributed Tracing and Service Map to identify and debug latency bottlenecks in complex Java microservice architectures.
Learn how to use New Relic custom span attributes to isolate latency spikes by tenant or feature flag, including implementation examples and NRQL verification steps.
Learn how to enrich New Relic APM traces with business context using custom attributes, see a Java code example, verify in the UI, and understand the cardinality and sensitivity trade‑offs.
Learn how to diagnose and fix data gaps and reporting delays in New Relic Java APM, from resolving TLS connection failures to managing JVM resource starvation.
Get end-to-end traces across Java microservices with the New Relic agent: install steps, verification checks, missing-span diagnostics, and sampling controls for production.
A diagnostic walkthrough for sustained Apdex degradation in New Relic APM: confirm the condition, map breakdown segments to likely causes, apply targeted fixes, and verify recovery.
Enable New Relic Distributed Tracing for Java microservices quickly: set the agent flag, tune sampling, verify in UI/NRQL, and understand the performance trade‑offs. Follow our step‑by‑step guide to see end‑to‑end request paths and root‑cause latency hotspots.
Use NRQL's FACET with explicit SINCE/UNTIL windows and a LIMIT to build a per-service latency breakdown that survives production row limits and timeouts.
Learn how New Relic's automatic distributed tracing gives end-to-end visibility across microservices, with a worked example, NRQL query, and tips on managing volume and retention.