dd-logs

作者: datadog-labs

日志管理 - 搜索、归档、指标与成本控制。

npx skills add https://github.com/datadog-labs/agent-skills --skill dd-logs

Datadog Logs

Search, process, and archive logs with cost awareness.

Prerequisites

Datadog Pup should already be installed. See Setup Pup if not.

Command Execution Order (Token-Efficient)

For scoped commands, use this order:

  1. Check context first (prior outputs, conversation, saved values).
  2. If a required value is missing, run a discovery command first.
  3. If still ambiguous, ask the user to confirm.
  4. Then run the target command.
  5. Avoid speculative commands likely to fail.

Quick Start

pup auth login

Search Logs

# Basic search
pup logs search --query="status:error" --from="1h"

# With filters
pup logs search --query="service:api status:error" --from="1h" --limit 100

# JSON output
pup logs search --query="@http.status_code:>=500" --from="1h"

Search Syntax

QueryMeaning
errorFull-text search
status:errorTag equals
@http.status_code:500Attribute equals
@http.status_code:>=400Numeric range
service:api AND env:prodBoolean
@message:*timeout*Wildcard

Configuration APIs

Available log configuration commands in pup 0.42.0:

# List log archives
pup logs archives list

# List log restriction queries
pup logs restriction-queries list

# List custom log destinations
pup logs custom-destinations list

Common Processors

{
  "name": "API Logs",
  "filter": {"query": "service:api"},
  "processors": [
    {
      "type": "grok-parser",
      "name": "Parse nginx",
      "source": "message",
      "grok": {"match_rules": "%{IPORHOST:client_ip} %{DATA:method} %{DATA:path} %{NUMBER:status}"}
    },
    {
      "type": "status-remapper",
      "name": "Set severity",
      "sources": ["level", "severity"]
    },
    {
      "type": "attribute-remapper",
      "name": "Remap user_id",
      "sources": ["user_id"],
      "target": "usr.id"
    }
  ]
}

Exclusion Filters (Cost Control)

Index only what matters:

{
  "name": "Drop debug logs",
  "filter": {"query": "status:debug"},
  "is_enabled": true
}

High-Volume Exclusions

# Find noisiest log sources
pup logs search --query="*" --from="1h" | jq 'group_by(.service) | map({service: .[0].service, count: length}) | sort_by(-.count)[:10]'
ExcludeQuery
Health checks@http.url:"/health" OR @http.url:"/ready"
Debug logsstatus:debug
Static assets@http.url:*.css OR @http.url:*.js
Heartbeats@message:*heartbeat*

Archives

Store logs cheaply for compliance:

# List archives
pup logs archives list

# Archive config (S3 example)
{
  "name": "compliance-archive",
  "query": "*",
  "destination": {
    "type": "s3",
    "bucket": "my-logs-archive",
    "path": "/datadog"
  },
  "rehydration_tags": ["team:platform"]
}

Rehydrate (Restore)

# No `pup logs rehydrate` command in pup 0.42.0.
# Use Datadog UI/API for rehydration workflows.

Log-Based Metrics

Create metrics from logs (cheaper than indexing):

# List log-based metrics
pup logs metrics list

# Get one metric by ID
pup logs metrics get api.errors.count

Cardinality warning: Group by bounded values only.

Sensitive Data

Scrubbing Rules

{
  "type": "hash-remapper",
  "name": "Hash emails",
  "sources": ["email", "@user.email"]
}

Never Log

# In your app - sanitize before sending
import re

def sanitize_log(message: str) -> str:
    # Remove credit cards
    message = re.sub(r'\b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b', '[REDACTED]', message)
    # Remove SSNs
    message = re.sub(r'\b\d{3}-\d{2}-\d{4}\b', '[REDACTED]', message)
    return message

Troubleshooting

ProblemFix
Logs not appearingCheck agent, pipeline filters
High costsAdd exclusion filters
Search slowNarrow time range, use indexes
Missing attributesCheck grok parser

References/Documentation

来自 datadog-labs 的更多技能

dd-audit
datadog-labs
审计追踪调查——谁更改了什么、密钥泄露、成本激增根本原因、合规证据(SOC 2/PCI)以及AI活动审计。
official
agent-install
datadog-labs
使用Datadog Operator在Kubernetes上安装Datadog Agent——这是在启用Single Step Instrumentation(SSI)之前所必需的,该功能会自动…
official
agent-observability-auto-experiment
datadog-labs
针对真实的Datadog LLM-Obs数据运行迭代式代码改进爬山算法,本地执行,以Claude Code作为代理。建立基线评估,做出一项…
official
agent-observability-eval-bootstrap
datadog-labs
从生产追踪中引导评估器——默认提议在线LLM-judge评估器,并在您确认后,在Datadog中将其创建为已禁用的草稿…
official
agent-observability-eval-pipeline
datadog-labs
End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally)…
official
agent-observability-experiment-analyzer
datadog-labs
分析LLM实验结果。处理单一或对比实验,探索性或问答模式。当用户说“分析实验”、“比较…”时使用。
official
agent-observability-replay-trace
datadog-labs
当开发者想要针对某一条他们不满意输出的Agent Observability / LLM Obs trace进行迭代时使用——重新运行该trace以对比他们的……
official
agent-observability-trace-rca
datadog-labs
生产环境中LLM轨迹的根因分析。诊断LLM应用为何失败——基于评测裁判的判定、运行时错误或结构性……
official