Query logs, metrics, traces, and dashboards through natural conversation with a preconfigured MCP server.

Production visibility is one of the hardest parts of software development, and Datadog is where most engineering teams go to get it. Coderia's Datadog integration brings your logs, metrics, traces, and dashboards into the agent so you can investigate production issues the same way you write code — through conversation.

When something breaks in production, the fastest path to a fix starts with understanding what happened. Instead of navigating Datadog's UI, filtering log queries, and correlating traces manually, you can ask Coderia to do it for you. "What errors have spiked in the last hour?" or "Show me the trace for the failed checkout request at 14:32" — Coderia queries Datadog, surfaces the relevant data, and helps you move straight to diagnosis.

Coderia can correlate what it finds in Datadog with your actual codebase. If a trace points to a slow database query in a specific service, Coderia can pull up that code, identify the bottleneck, and suggest or implement a fix — all in the same conversation. The gap between observability and action collapses.

This integration is currently in preview. Core capabilities — log querying, metric inspection, trace lookup, and dashboard reading — are fully functional. Advanced features like automated alerting workflows and anomaly-triggered agent actions are in active development and will roll out progressively to preview users.

To enable the Datadog integration, add your Datadog API key and application key from the Integrations page. Coderia will connect to your Datadog account and make your observability data available across desktop, CLI, and mobile. Preview users are encouraged to share feedback directly through the in-app feedback button.

datadog

Datadog

Category

Data & Analytics

Created

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