Telemetry data is essential, but understandably overwhelming. Between expanding cloud estates, ephemeral infrastructure, and tool sprawl, teams are flooded with logs, traces, and metrics they can’t afford to store and struggle to use. OpenTelemetry has become the de facto standard for capturing this data. That’s why it’s a first-class citizen in Onum.
With OpenTelemetry supported as both a Listener and a Sink, Onum fits seamlessly into existing architectures while enabling something legacy pipelines can’t: true, adaptable real-time control.
Own the flow of telemetry
Most telemetry strategies are built around hindsight. They rely on collecting everything, sending it to a backend, and hoping that something meaningful shows up. But by the time you get insight, the problem has often passed, the damage done.
Onum gives you a different approach. You can observe and act on OpenTelemetry data in motion, without waiting on storage, indexing, or slow queries.
That means:
Drop noise, enrich signals: Apply logic in transit to reduce volume and add context
Push anywhere: Route data to multiple tools—Datadog, Splunk, New Relic, S3—without duplicate collection or vendor lock-in
Avoid breakage: Modify schemas or outputs without disrupting downstream systems. Your pipelines remain stable, even as your environment evolves
This isn’t just about plugging into OpenTelemetry. It’s about owning the flow of telemetry through your environment.
Ready for today. Built for what comes next.
OpenTelemetry is powerful, but implementation is rarely clean. Most organizations are still figuring out how to migrate from legacy agents or layer OTel into their stack without breaking what works. That’s where Onum thrives.
You can plug OpenTelemetry directly into Onum and immediately route, shape, and act on your data without needing to refactor infrastructure. Whether you’re introducing OTel into a hybrid observability environment or shifting away from proprietary agents, Onum makes the transition seamless.
Pipelines can be modified on the fly—destinations added, logic updated, formats transformed—all without interrupting critical workflows. Teams avoid brittle scripts and rigid configurations, and instead gain a flexible, real-time control plane for their telemetry.
And because Onum serves multiple domains, you can route the same data for different purposes. Observability, security, and compliance teams can each receive the telemetry they need, shaped for their workflows, all from the same source, without breaking your pipelines.
From chaos to clarity in a cloud outage
Imagine a global SaaS provider sees a latency spike in its European Kubernetes clusters. DevOps teams collect OpenTelemetry traces through the standard collector, but their APM backend is overloaded and slow to surface meaningful patterns.
Using Onum, those traces are ingested in real time and immediately enriched with service metadata. Critical events are routed to the SRE team’s Slack for triage. At the same time, the full trace stream is forwarded to S3 for archival, and a subset is normalized and sent to the security team’s SIEM.
No added agents. No added complexity. No duplication. The team identifies the issue and initiates a fix before the APM dashboard even finishes loading. What was once reactive observability becomes proactive control.
Ready to see real-time telemetry intelligence in action?
Watch our overview webinar recording or book a custom demo to see how Onum can help your team shift from reactive analysis to proactive intelligence.
