.svg "kloia.png"){kind=logo}
Beyond Instrumentation
OpenTelemetry (OTel) Solves Collection,
Not Resolution
If your team spends 90% of an outage trying to work out which layer is failing, the problem isn't your telemetry. It's your correlation. Kloia turns OpenTelemetry into a correlated engine for root cause analysis, so your engineers and your AI systems are never working from half the story.
|
Problem: The Siloed Trace
Standard OpenTelemetry deployments often stop at the application. That leaves a visibility gap between what your APM reports and what's actually happening on the infrastructure underneath it.
|
Solution: Full-Stack Correlation
We bridge the gap between OpenTelemetry and your enterprise infrastructure platforms, including Datadog and Instana.
|
The Architecture of RCA
Why OpenTelemetry Alone
Isn't Enough
The industry is moving to OpenTelemetry to escape vendor lock-in, and that's a healthy shift. But it often gives up the auto-correlation that enterprise tools like Instana and Datadog used to handle through their own proprietary agents. Root cause analysis rests on three pillars of correlation.
By engineering the OpenTelemetry Collector to enrich data before it reaches your backend, the reason something broke is already answered by the time the alert fires.
By engineering the OpenTelemetry Collector to enrich data before it reaches your backend, the reason something broke is already answered by the time the alert fires.
Application To Infrastructure
Linking the trace to the specific resource, CPU, memory, or IO, that it actually consumed.
.svg){kind=small}
Frontend To Backend
Linking the user's browser experience to the backend database query behind it.
.svg){kind=small}
Synthetics To Reality
Using synthetic tests to confirm that the correlated path is actually healthy.
Basic OTel vs.
Kloia-Correlated OTel
| Feature | Basic OTel deployment |
|
||
|---|---|---|---|---|
| Observation | "Service A is slow." |
|
||
| RCA speed | Manual, across multiple dashboards |
|
||
| Enterprise backend | Disconnected traces |
|
||
| End-user impact | Isolated symptoms |
|
Questions We Hear From C-Level Teams
Doesn't Datadog or Instana already support OpenTelemetry? Why do we need a correlation strategy?
They do support it, but there's a real difference between ingestion and correlation. Sending OTel data into a backend doesn't automatically link it to your infrastructure's health. Without a deliberate correlation strategy, you end up with data islands: a trace that tells you what's broken, and a separate infrastructure dashboard that tells you a server is busy, with no bridge connecting the two. Kloia builds that bridge.
We want to reduce vendor lock-in. Is OTel enough on its own?
OTel is the standard for collecting data, which is the first step. True neutrality only comes when your data schema, your semantic conventions, is consistent. Instrument it poorly and your data only makes sense inside one specific tool. We make sure your OTel implementation follows global standards, so you can swap backend platforms in a weekend rather than a year.
How does this affect our AIOps and automated root cause analysis?
AI is only as capable as the data it's given. Most AIOps engines struggle because they receive fragmented signals. Multi-layer correlation gives the AI the full picture: user, application, and infrastructure together. That turns your AI from a noise generator into a genuine root cause engine, cutting MTTR from hours to minutes.
Will OpenTelemetry increase our resource overhead or cloud costs?
Raw, unmanaged telemetry can lead to data bloat and rising ingestion bills. We use the OpenTelemetry Collector as a strategic filter, applying intelligent sampling and data transformation at the edge, so you only pay to store the high-value data you actually need for troubleshooting. Often this reduces existing licensing costs too.
Is OpenTelemetry mature enough for our mission-critical enterprise apps?
In 2026, OTel is the industry standard, but community support isn't a service level agreement. The risk isn't the technology, it's the implementation. Kloia brings the enterprise-grade expertise to make your OTel pipeline as resilient as the applications it monitors, with proper sharding, scaling, and security protocols.
Why not just wait for our current vendor's next-generation agent?
Proprietary agents are a black box. Use one, and you're at the mercy of its roadmap. Moving to OTel today, with a correlation-first approach, means you own your data. You gain the freedom to use the best tool for each team, SREs on Grafana while BizOps stays on Datadog, without paying twice for the same data.