A payments processor believed their estate was fully instrumented until an outage in an uncovered component took hours to locate. AceMQ assessed real coverage across services, dependencies, and background work.
Coverage looked complete because every deployed service had an agent attached. What the inventory missed was that several critical code paths were invisible anyway: background workers and scheduled jobs produced no transactions because nothing marked their entry points, custom database access layers were not recognized by the auto-instrumentation, and outbound calls through an internal HTTP client wrapper appeared as generic external segments with no target attribution. The map showed coverage; the reality had holes exactly where debugging was hardest.
Hybrid estate with Java and Node.js services, scheduled batch work, custom data access and HTTP client libraries.
Rather than counting agents, the assessment checks what telemetry each service actually produces against what it actually does. We compare the deployment inventory to reporting entities, inspect transaction and segment data per service for the expected shapes, and specifically probe the areas auto-instrumentation is known to miss.
Roughly a fifth of business-critical code paths turned out to be invisible to APM despite agents being present. With custom instrumentation added to the highest-priority gaps, the class of outage that previously took hours to locate is now visible in the first minutes.
Consulting engagement to govern ingested telemetry volume and user allocation so observability spend reflects operational value.
Ongoing support for distributed tracing across a mixed New Relic and OpenTelemetry estate where traces broke at instrumentation boundaries.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.