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datadog-cli

Investigate production issues by searching Datadog logs, querying metrics, and following request traces across services. Compare error counts across time periods, inspect surrounding logs, and manage dashboards through a command-line tool.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

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

集成工具Datadog
查看安装方法

适用场景

  • Investigating errors in production
  • Comparing error counts across time periods
  • Following request traces across services
  • Creating and updating Datadog dashboards

包含的文件(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(原文)

安装前可以查看交给 AI 代理的指令内容。

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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