datadog-observability by bobmatnyc/claude-mpm-skills
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill datadog-observabilityDatadog 是一个 SaaS 可观测性平台,提供跨基础设施、应用程序、日志和用户体验的统一监控。它提供 AI 驱动的异常检测、1000 多种集成以及 OpenTelemetry 兼容性。
核心能力:
在以下情况激活:
不要在以下情况使用:
Docker(最简单):
docker run -d --name dd-agent \
-e DD_API_KEY=<YOUR_API_KEY> \
-e DD_SITE="datadoghq.com" \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /proc/:/host/proc/:ro \
-v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \
gcr.io/datadoghq/agent:7
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在这里展示您的产品或服务
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Kubernetes(Helm):
helm repo add datadog https://helm.datadoghq.com
helm install datadog-agent datadog/datadog \
--set datadog.apiKey=<YOUR_API_KEY> \
--set datadog.apm.enabled=true \
--set datadog.logs.enabled=true
Python:
from ddtrace import tracer, patch_all
# 为常用库启用自动插桩
patch_all()
# 为自定义操作创建手动跨度
with tracer.trace("custom.operation", service="my-service") as span:
span.set_tag("user.id", user_id)
# 你的代码写在这里
Node.js:
// 必须是第一个导入
const tracer = require('dd-trace').init({
service: 'my-service',
env: 'production',
version: '1.0.0',
});
标签支持筛选、聚合和成本归因。在所有遥测数据中使用一致的标签。
必需标签:
| 标签 | 用途 | 示例 |
|---|---|---|
env | 环境 | env:production |
service | 服务名称 | service:api-gateway |
version | 部署版本 | version:1.2.3 |
team | 所属团队 | team:platform |
避免高基数标签:
Datadog 自动关联指标、追踪和日志:
基础 → APM 追踪 → 自定义跨度 → 自定义指标 → 性能分析 → RUM
如需详细实现:
使用此技能时,请考虑以下相关技能(如果已部署):
官方文档:
成本管理:
每周安装
58
仓库
GitHub Stars
18
首次出现
Jan 29, 2026
安全审计
安装于
codex45
opencode45
cursor44
claude-code44
gemini-cli43
github-copilot42
Datadog is a SaaS observability platform providing unified monitoring across infrastructure, applications, logs, and user experience. It offers AI-powered anomaly detection, 1000+ integrations, and OpenTelemetry compatibility.
Core Capabilities:
Activate when:
Do not use when:
Docker (simplest):
docker run -d --name dd-agent \
-e DD_API_KEY=<YOUR_API_KEY> \
-e DD_SITE="datadoghq.com" \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /proc/:/host/proc/:ro \
-v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \
gcr.io/datadoghq/agent:7
Kubernetes (Helm):
helm repo add datadog https://helm.datadoghq.com
helm install datadog-agent datadog/datadog \
--set datadog.apiKey=<YOUR_API_KEY> \
--set datadog.apm.enabled=true \
--set datadog.logs.enabled=true
Python:
from ddtrace import tracer, patch_all
# Automatic instrumentation for common libraries
patch_all()
# Manual span for custom operations
with tracer.trace("custom.operation", service="my-service") as span:
span.set_tag("user.id", user_id)
# your code here
Node.js:
// Must be first import
const tracer = require('dd-trace').init({
service: 'my-service',
env: 'production',
version: '1.0.0',
});
Tags enable filtering, aggregation, and cost attribution. Use consistent tags across all telemetry.
Required Tags:
| Tag | Purpose | Example |
|---|---|---|
env | Environment | env:production |
service | Service name | service:api-gateway |
version | Deployment version | version:1.2.3 |
team |
Avoid High-Cardinality Tags:
Datadog correlates metrics, traces, and logs automatically:
Basic → APM tracing → Custom spans → Custom metrics → Profiling → RUM
For detailed implementation:
When using this skill, consider these related skills (if deployed):
Official Documentation:
Cost Management:
Weekly Installs
58
Repository
GitHub Stars
18
First Seen
Jan 29, 2026
Security Audits
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Installed on
codex45
opencode45
cursor44
claude-code44
gemini-cli43
github-copilot42
Azure 升级评估与自动化工具 - 轻松迁移 Functions 计划、托管层级和 SKU
104,900 周安装
| Owning team |
team:platform |