datadog

Query Datadog logs, metrics, traces, and events for root cause analysis.

387|68|Updated Jan 22, 2026

Search Tags:#logs #queries #metrics #observability #traces #datadog #rca

Ready to run

npx skills add https://github.com/Arvo-AI/aurora --skill datadog-arvo-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: datadog
Source: https://github.com/Arvo-AI/aurora/tree/main/server/chat/backend/agent/skills/integrations/datadog
Command: npx skills add https://github.com/Arvo-AI/aurora --skill datadog-arvo-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Datadog data is queried to support root cause analysis during incident investigations, enabling teams to quickly surface relevant evidence from logs, metrics, traces, and events.

Core Features & Use Cases

Unified data access: Query logs, metrics, monitors, events, traces, hosts, and incidents from a single integration.
Faster RCA: Correlate signals across Datadog sources to identify root causes and remediation actions.
Use Case: Investigate an outage by collecting error spikes from logs, latency signals from traces, and infrastructure metrics in one scoped view.

Quick Start

Query Datadog for recent errors in the affected service.

Frequently Asked Questions about datadog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I query Datadog logs and metrics for root cause analysis during an outage?▼

Query Datadog logs and metrics for root cause analysis by using the query_datadog tool to correlate error spikes, latency signals, and infrastructure metrics within a scoped time window. This surfaces relevant evidence quickly during incident investigations.

Can I correlate traces and events with infrastructure metrics in a single Datadog query?▼

Yes, you can correlate traces and events with infrastructure metrics by querying approved Datadog data sources. The tool enforces parameters like resource_type, query, time_from, time_to, and limit to scope and unify your incident investigation data.

What Datadog resource types can I query for incident investigations?▼

You can query logs, metrics, traces, monitors, events, hosts, and incidents from Datadog. These approved data sources are accessed through the query_datadog tool to support engineering and SRE root cause analysis scenarios.

Do I need to specify time ranges when querying Datadog data?▼

Yes, specifying time ranges is required when querying Datadog data. The tool enforces the use of time_from and time_to parameters alongside resource_type, query, and limit to ensure your root cause analysis results are accurately scoped.

What is the best way to investigate performance issues using Datadog observability data?▼

The best way to investigate performance issues with Datadog observability data is to query across logs, metrics, and traces simultaneously. Correlating these signals helps identify root causes and determine remediation actions for alerts and outages.