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name: datadog-cli description: "Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data." license: MIT compatibility: opencode

Datadog

This skill will help you to interact with Datadog, through the unofficial datadog-cli to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.

When to Use This Skill

• Trigger phrases include:
  • "search logs"
  • "tail logs"
  • "query metrics"
  • "check Datadog"
  • "find errors"
  • "trace request"
  • "compare errors"
  • "what services exist"
  • "log patterns"
  • "CPU usage"
  • "service health"
  • "get service activity"

How to Use

Log Search

datadog logs search --query "<query>" [--from <time>] [--to <time>] [--limit <n>] [--sort <order>]

Examples:

datadog logs search --query "status:error" --from 1h
datadog logs search --query "service:api status:error @http.status_code:500" --from 1h

Live Tail (Real-time Streaming)

Stream logs as they arrive. Press Ctrl+C to stop.

datadog logs tail --query "<query>" [--interval <seconds>]

Examples:

datadog logs tail --query "status:error"
datadog logs tail --query "service:api" --interval 5

Trace Correlation

Find all logs for a distributed trace across services.

datadog logs trace --id "<trace-id>" [--from <time>] [--to <time>]

Example:

datadog logs trace --id "abc123def456" --from 24h

Log Context

Get logs before and after a specific timestamp to understand what happened.

datadog logs context --timestamp "<iso-timestamp>" [--before <time>] [--after <time>] [--service <svc>]

Examples:

datadog logs context --timestamp "2024-01-15T10:30:00Z" --before 5m --after 2m
datadog logs context --timestamp "2024-01-15T10:30:00Z" --service api --before 10m

Error Summary

Quick breakdown of errors by service, type, and message.

datadog errors [--from <time>] [--to <time>] [--service <svc>]

Examples:

datadog errors --from 1h
datadog errors --service payment-api --from 24h

Period Comparison

Compare log counts between current period and previous period.

datadog logs compare --query "<query>" --period <time>

Examples:

datadog logs compare --query "status:error" --period 1h
datadog logs compare --query "service:api status:error" --period 6h

Log Patterns

Group similar log messages to find patterns (replaces UUIDs, numbers, etc.).

datadog logs patterns --query "<query>" [--from <time>] [--limit <n>]

Examples:

datadog logs patterns --query "status:error" --from 1h
datadog logs patterns --query "service:api" --from 6h --limit 1000

Service Discovery

List all services with recent log activity.

datadog services [--from <time>] [--to <time>]

Example:

datadog services --from 24h

Log Aggregation

datadog logs agg --query "<query>" --facet <facet> [--from <time>]

Common facets: status, service, host, @http.status_code, @error.kind

Examples:

datadog logs agg --query "*" --facet status --from 1h
datadog logs agg --query "status:error" --facet service --from 24h

Multiple Queries

Run multiple queries in parallel.

datadog logs multi --queries "name1:query1,name2:query2" [--from <time>]

Example:

datadog logs multi --queries "errors:status:error,warnings:status:warn" --from 1h

Metrics Query

datadog metrics query --query "<metrics-query>" [--from <time>] [--to <time>]

Query format: <aggregation>:<metric>{<tags>}

Examples:

datadog metrics query --query "avg:system.cpu.user{*}" --from 1h
datadog metrics query --query "avg:system.cpu.user{service:api}" --from 1h
datadog metrics query --query "sum:trace.http.request.errors{service:api}.as_count()" --from 1h

Global Flags

Flag	Description
--pretty	Human-readable output with colors
--output <file>	Export results to JSON file
--site <site>	Datadog site (e.g., datadoghq.eu)

Time Formats

• Relative: 30m, 1h, 6h, 24h, 7d
• ISO 8601: 2024-01-15T10:30:00Z

Common Workflows

Incident Triage

# 1. Quick error overview
datadog errors --from 1h

# 2. Is this new? Compare to previous period
datadog logs compare --query "status:error" --period 1h

# 3. What patterns are we seeing?
datadog logs patterns --query "status:error" --from 1h

# 4. Narrow down by service
datadog logs search --query "status:error service:payment-api" --from 1h

# 5. Get context around a specific timestamp
datadog logs context --timestamp "2024-01-15T10:30:00Z" --service api --before 5m --after 2m

# 6. Follow the distributed trace
datadog logs trace --id "TRACE_ID"

Real-time Debugging

# Stream errors as they happen
datadog logs tail --query "status:error"

# Watch specific service
datadog logs tail --query "service:api status:error"

Service Health Check

# List services
datadog services --from 24h

# Check error distribution
datadog logs agg --query "service:api" --facet status --from 1h

# Check CPU/memory
datadog metrics query --query "avg:system.cpu.user{service:api}" --from 1h

Export for Sharing

# Save search results
datadog logs search --query "status:error" --from 1h --output errors.json

# Save error summary
datadog errors --from 24h --output error-report.json

Datadog Query Syntax

Operator	Example	Description
AND	service:api status:error	Both conditions
OR	status:error OR status:warn	Either condition
-	-status:info	Exclude
*	service:api-*	Wildcard
>= <=	@http.status_code:>=400	Numeric comparison
[TO]	@duration:[1000 TO 5000]	Range

Common Attributes

• service - Service name
• status - Log level (error, warn, info, debug)
• host - Hostname
• @http.status_code - HTTP status code
• @error.kind - Error type
• @trace_id / @dd.trace_id - Trace ID