Built to debug.
“Why is my agent slow, or wrong?”
- Bought by
- Platform engineering
- Records
- Traces, latency, errors and cost
- Kept for
- About 15 days by default
Datadog tells your engineers why an agent was slow or wrong. Runfile proves to an auditor exactly what it did. Most teams need both, running side by side on the same OpenTelemetry data.
The short answerKeep Datadog for debugging. Add Runfile for the audit.
What each is built for, and when to reach for which.
“Why is my agent slow, or wrong?”
“What exactly did this agent do, and can you prove it?”
Eight things teams ask about. Where Datadog is the better choice, we say so.
Based on each vendor’s public product information. Products change, so check with them for current details.
Runfile reads the same OpenTelemetry data Datadog already gets. Your Datadog setup stays exactly as it is.
Longer retention changes how long you keep the data, not whether you can prove it’s unchanged. An auditor asking about a run from last March needs both, plus a link to the control it satisfies.
No. If your agents already emit OpenTelemetry, Runfile reads the same data. LangGraph and the OpenAI Agents SDK are supported natively.
No. We don’t do dashboards, alerts or latency hunts, and we don’t plan to. Your engineers keep Datadog; your auditors get Runfile.
A 30-minute call with your platform and Internal Audit leads. We’ll show Runfile running next to Datadog on the same agents.