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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | datadog |
| 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. |
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.
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
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
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
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
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
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
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
List all services with recent log activity.
datadog services [--from <time>] [--to <time>]
Example:
datadog services --from 24h
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
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
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
| Flag | Description |
|---|---|
--pretty | Human-readable output with colors |
--output <file> | Export results to JSON file |
--site <site> | Datadog site (e.g., datadoghq.eu) |
30m, 1h, 6h, 24h, 7d2024-01-15T10:30:00Z# 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"
# Stream errors as they happen
datadog logs tail --query "status:error"
# Watch specific service
datadog logs tail --query "service:api status:error"
# 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
# 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
| 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 |
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