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datadog-cli

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

The English summary is being prepared. Showing the original description.

Works withDatadog
See how to install

Files included (7)

  • SKILL.md3.4 KB
  • README.md2.5 KB
  • references/dashboards.md6.4 KB
  • references/logs-commands.md3.0 KB
  • references/metrics.md1.4 KB
  • references/query-syntax.md1.3 KB
  • references/workflows.md2.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Datadog CLI

A CLI tool for AI agents to debug and triage using Datadog logs and metrics.

Required Reading

You MUST read the relevant reference docs before using any command:

Setup

Environment Variables (Required)

export DD_API_KEY="your-api-key"
export DD_APP_KEY="your-app-key"

Get keys from: https://app.datadoghq.com/organization-settings/api-keys

Running the CLI

npx @leoflores/datadog-cli <command>

For non-US Datadog sites, use --site flag:

npx @leoflores/datadog-cli logs search --query "*" --site datadoghq.eu

Commands Overview

CommandDescription
logs searchSearch logs with filters
logs tailStream logs in real-time
logs traceFind logs for a distributed trace
logs contextGet logs before/after a timestamp
logs patternsGroup similar log messages
logs compareCompare log counts between periods
logs multiRun multiple queries in parallel
logs aggAggregate logs by facet
metrics queryQuery timeseries metrics
errorsQuick error summary by service/type
servicesList services with log activity
dashboardsManage dashboards (CRUD)
dashboard-listsManage dashboard lists

Quick Examples

Search Errors

npx @leoflores/datadog-cli logs search --query "status:error" --from 1h --pretty

Tail Logs (Real-time)

npx @leoflores/datadog-cli logs tail --query "service:api status:error" --pretty

Error Summary

npx @leoflores/datadog-cli errors --from 1h --pretty

Trace Correlation

npx @leoflores/datadog-cli logs trace --id "abc123def456" --pretty

Query Metrics

npx @leoflores/datadog-cli metrics query --query "avg:system.cpu.user{*}" --from 1h --pretty

Compare Periods

npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

Global Flags

FlagDescription
--prettyHuman-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

Incident Triage Workflow

# 1. Quick error overview
npx @leoflores/datadog-cli errors --from 1h --pretty

# 2. Is this new? Compare to previous period
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

# 3. Find error patterns
npx @leoflores/datadog-cli logs patterns --query "status:error" --from 1h --pretty

# 4. Narrow down by service
npx @leoflores/datadog-cli logs search --query "status:error service:api" --from 1h --pretty

# 5. Get context around a timestamp
npx @leoflores/datadog-cli logs context --timestamp "2024-01-15T10:30:00Z" --service api --pretty

# 6. Follow the distributed trace
npx @leoflores/datadog-cli logs trace --id "TRACE_ID" --pretty

See workflows.md for more debugging workflows.

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