Trace the Root Cause of Every Failure

Checkly Traces connects OpenTelemetry spans with synthetic checks to provide instant visibility into the root cause of failures—without overwhelming you with unnecessary data.

Traditional tracing tools capture massive amounts of telemetry, leaving teams struggling to filter out the noise.

Checkly Traces takes a different approach: you send only the spans tied to failed checks, keeping your data focused, costs low, and debugging simple.

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Trusted By Engineering Teams At

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Debugging Distributed Systems is Hard—Checkly Makes it Easier

In a distributed system, a single failure can cascade across multiple services. Figuring out where and why something went wrong often means:

❌ Searching through endless logs

❌ Jumping between different monitoring tools

❌ Guessing where a request failed

With Checkly Traces, when a synthetic monitor fails, you get a direct correlation to the relevant trace data. You immediately see what API calls were made, which services were involved, and where failures occurred—without wading through irrelevant telemetry.

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“Checkly Traces helped us resolve issues faster by showing exactly how long database calls are taking.

This insight was crucial in pinpointing N+1 issues and optimizing caching. The hands-on onboarding made the process smooth and effective. Having a vendor like Checkly levels up your team to the point where it starts to feel like an unfair advantage. ”

James Hall

AWS Hero & Founder @ Parallax

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Get to the Root Cause Without the Noise

🔹 Find the root cause, instantly – No more jumping between dashboards and logs. When a synthetic check fails, Checkly Traces shows you exactly where and why it happened.

🔹 Reduce troubleshooting time – Cut down on MTTD and MTTR by correlating synthetic monitoring failures directly with backend traces.

🔹 Avoid data overload – Traditional tracing captures everything; Checkly Traces captures only what matters—reducing storage and egress costs.

🔹 Seamless OpenTelemetry support – Easily integrate with your existing observability stack without vendor lock-in.

How Checkly Traces Help You Debug Smarter

Checkly Traces capture only the spans tied to failed checks, eliminating unnecessary telemetry while preserving the context you need to debug efficiently. By integrating synthetic monitoring with tracing, it helps teams quickly identify where failures occur, reducing troubleshooting time and lowering data storage costs.

Immediate Full-Stack Visibility

Checkly correlates synthetic checks with tracing data, eliminating the guesswork from debugging.

Native OpenTelemetry Support

Instrument your app with OpenTelemetry SDKs to send traces directly to Checkly. No vendor lock-in.

Focused Tracing for Cost-Effective Observability

Avoid the complexity of sampling strategies. Checkly automatically captures only the traces that matter, keeping costs low and insights high.

Contextual Spans for Deeper Insights

Move beyond black-box monitoring—get a step-by-step breakdown of what happens when a check runs.

“Checkly was incredibly easy to integrate.

Even our initial traces setup was quick, and the documentation was better than OTel’s own. ”

Brian Stack

Infrastructure Engineer @ Render

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Drastically Reduce Your Observability Bill

Streamline your observability infrastructure and reduce costs by bypassing the need for expensive tools while getting the data you need to resolve issues.

By only recording the interactions we generate, we minimize data volume and storage costs, making observability more economical and manageable.

Stop Wasting Time Debugging Alerts and Start Shipping Fixes

Focus only on the telemetry that directly impacts your key business processes. Reduce noise and improve efficiency.

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