Send your traces, metrics, and logs over OTLP and get AI-powered analysis, automated incident response, and full-stack visibility on top, without touching a line of instrumentation code.
The hardest part of observability is instrumentation. OpManager Nexus receives and analyzes OpenTelemetry (OTel) data from your entire stack, whether it comes from one of the twelve primary languages, specialized platforms, or various infrastructure integrations. We support the full OTel ecosystem without requiring proprietary SDKs.
Most observability platforms make you earn your first trace. OpManager Nexus hosts the OTLP ingestion layer so you skip the infrastructure setup entirely and get traces, metrics, and logs flowing in under 15 minutes.
The biggest hidden cost in observability is the time engineers spend switching between tools to reconstruct what happened. OpManager Nexus correlates traces, metrics, and logs on a shared data model to answer what went wrong and why, all in one place.
OpManager Nexus connects your OTel data to an alerting and automation layer that moves faster than any on-call rotation can.
Your instrumentation is already doing its job. OpManager Nexus makes sure the data it produces leads somewhere useful.
OpManager Nexus receives your OTel data as-is. Your code stays written against the OTel API and switching back ends means updating an endpoint URL, nothing else.
Most OTel back ends store telemetry and hand you a query interface. OpManager Nexus does more with root cause analysis, anomaly detection, and deployment regression detection built on top.
If you already run an OTel Collector pipeline with batching, filtering, and sampling configured, OpManager Nexus fits in alongside it. You add capability without adding complexity.
OpenTelemetry solves the collection problem extremely well with standardized instrumentation, vendor-neutral export, and broad language support. What it does not provide is the analysis layer: correlating signals across services, detecting anomalies, identifying root causes, and automating incident response. That is what OpManager Nexus adds. The two work together, not in competition.
No. If your application already emits OpenTelemetry data, point your exporter at OpManager Nexus' OTLP endpoint to start your data flowing. Nothing in your instrumentation code changes.
No. OpManager Nexus manages the ingestion infrastructure so you can export it directly from your application. If you already run a Collector, OpManager Nexus drops in as one additional exporter without disrupting your existing pipeline.
Nothing changes. Because your instrumentation is written against the OTel API, switching back ends is an endpoint URL and API key update, not a re-instrumentation project.
Yes. Any telemetry produced with the OpenTelemetry API is accepted. Custom spans, metrics, and structured log records all flow through the same OTLP pipeline with custom attributes and tags preserved and queryable in OpManager Nexus.
Your instrumentation is already doing its job. OpManager Nexus makes sure the data it produces leads somewhere useful, with faster root cause analysis, fewer manual steps, and less time between something gone wrong and it getting fixed.
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