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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.

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name
datadog-cli
description
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
# 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:** - [Log Commands](references/logs-commands.md) - [Metrics](references/metrics.md) - [Query Syntax](references/query-syntax.md) - [Workflows](references/workflows.md) - [Dashboards](references/dashboards.md) ## Setup ### Environment Variables (Required) ```bash 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 ```bash npx @leoflores/datadog-cli <command> ``` For non-US Datadog sites, use `--site` flag: ```bash npx @leoflores/datadog-cli logs search --query "*" --site datadoghq.eu ``` ## Commands Overview | Command | Description | |---------|-------------| | `logs search` | Search logs with filters | | `logs tail` | Stream logs in real-time | | `logs trace` | Find logs for a distributed trace | | `logs context` | Get logs before/after a timestamp | | `logs patterns` | Group similar log messages | | `logs compare` | Compare log counts between periods | | `logs multi` | Run multiple queries in parallel | | `logs agg` | Aggregate logs by facet | | `metrics query` | Query timeseries metrics | | `errors` | Quick error summary by service/type | | `services` | List services with log activity | | `dashboards` | Manage dashboards (CRUD) | | `dashboard-lists` | Manage dashboard lists | ## Quick Examples ### Search Errors ```bash npx @leoflores/datadog-cli logs search --query "status:error" --from 1h --pretty ``` ### Tail Logs (Real-time) ```bash npx @leoflores/datadog-cli logs tail --query "service:api status:error" --pretty ``` ### Error Summary ```bash npx @leoflores/datadog-cli errors --from 1h --pretty ``` ### Trace Correlation ```bash npx @leoflores/datadog-cli logs trace --id "abc123def456" --pretty ``` ### Query Metrics ```bash npx @leoflores/datadog-cli metrics query --query "avg:system.cpu.user{*}" --from 1h --pretty ``` ### Compare Periods ```bash npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty ``` ## 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` ## Incident Triage Workflow ```bash # 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](references/workflows.md) for more debugging workflows. --- > Converted and distributed by [TomeVault](https://tomevault.io) | [Claim this content](https://tomevault.io/claim/davila7/claude-code-templates) <!-- tomevault:2.0:skill_md:2026-04-05 -->
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