Isolating Microservice Latency with New Relic Custom Span Attributes
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.
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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.
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 to add New Relic custom attributes in Java, query them with NRQL, and isolate latency spikes in your checkout API.
Integration Boundary: NRQL vs UI Dashboard vs Agent SDK Goal: determine whether LIMIT and OFFSET behave consistently when applied in NRQL queries, UI dashboards, and data ingestion through agent SDKs. Constraints: NRQL enforces a 10,000‑row cap per query; OFFSET may generate non‑deterministic ordering if no SORT clause is specified. UI dashboards mimic NRQL