Dd Logs

The dd-logs skill enables AI agents to interact with Datadog's logging infrastructure, allowing them to retrieve, filter, and analyze log data directly from the platform. It provides access to real-time monitoring and historical logs to support operational troubleshooting and system health checks.

When to use it

• Investigating application errors or performance bottlenecks by querying specific error messages in Datadog.
• Monitoring service availability and uptime by analyzing log streams for downtime indicators.
• Automating root cause analysis workflows by correlating log events with other Datadog metrics.
• Generating compliance reports by extracting and summarizing audit logs from critical systems.

Key capabilities

• Querying logs using Datadog's standard search syntax.
• Filtering results by time range, service name, or severity level.
• Retrieving raw log lines for detailed inspection.
• Aggregating log data to identify common patterns or anomalies.

Example prompts

• "Show me all ERROR logs from the payment-service in the last hour."
• "Summarize any critical alerts related to database connectivity in Datadog over the past 24 hours."
• "Find logs containing 'timeout' for the api-gateway service between 10:00 AM and 11:00 AM today."

Tips & gotchas

Ensure your AI agent has the necessary Datadog API credentials with read permissions on the logs you intend to query. Be mindful of query complexity, as overly broad searches may hit rate limits or return excessive data; always specify time ranges when possible.