# datadog

Sets up the Datadog agent, APM tracing, log collection, and metrics for services and databases. Useful when configuring unified infrastructure monitoring.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 312 installs · ★ 1177
- Author: devops-skills
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/HEAD/devops/observability/datadog/SKILL.md
- Updated: 2026-05-22
- HTML: https://affpapa.org/en/nevibecode/skills/datadog

## What it does

This skill provides configuration templates for deploying Datadog monitoring across servers and container clusters. It includes installation steps for Agent 7 on Linux via shell scripts or apt, Docker Compose service definitions, and Helm commands for Kubernetes. Metric collection templates cover MySQL, PostgreSQL, and NGINX status endpoints.

For application performance monitoring, the skill details APM setup with automatic and manual span tracing in Python using `ddtrace`, Node.js using `dd-trace`, and Go using the official tracer. Log ingestion handles plain log files, Docker container labels, and Kubernetes pod annotations with custom filtering rules.

Custom metrics rely on DogStatsD over UDP port 8125 or the Datadog API client. Working with this skill requires an active Datadog account, an API key, root access to install the daemon, and access to application source code for APM integration.

## Requirements
- Works with: Datadog

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/datadog/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/datadog/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/datadog/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/datadog/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install BagelHole/DevOps-Security-Agent-Skills datadog
```

2. **Manually: put the files in place**
- File: `.github/skills/datadog/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/BagelHole/DevOps-Security-Agent-Skills --path devops/observability/datadog
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/datadog/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/HEAD/devops/observability/datadog/SKILL.md

## When to use it
- deploy the Datadog Agent on Linux, Docker, or Kubernetes via Helm
- configure metric collection for MySQL, PostgreSQL, and NGINX
- instrument Python, Node.js, and Go applications with APM tracing
- collect logs from host files, Docker containers, and Kubernetes pods
- send custom gauges and counters through DogStatsD

## Example prompts
- Help me configure the Datadog Agent in Kubernetes via Helm with APM enabled
- Add ddtrace instrumentation to my Python service and configure the PostgreSQL integration
- Set up custom metric reporting using DogStatsD on port 8125

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 99fe07a01a946bae.

BEGIN THIRD-PARTY FILE 99fe07a01a946bae
````text
---
name: datadog
description: Implement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing. Use when implementing enterprise monitoring, APM, or unified observability platforms.
license: MIT
metadata:
  author: devops-skills
  version: "1.0"
---

# Datadog

Monitor infrastructure and applications with Datadog's unified observability platform.

## When to Use This Skill

Use this skill when:
- Implementing enterprise-grade monitoring
- Setting up APM and distributed tracing
- Creating unified dashboards for infrastructure and apps
- Configuring intelligent alerting
- Monitoring cloud infrastructure (AWS, Azure, GCP)

## Prerequisites

- Datadog account and API key
- Agent installation access
- Application code access for APM

## Agent Installation

### Linux

```bash
# Install agent
DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)"

# Or via package manager
apt-get update && apt-get install datadog-agent

# Configure API key
echo "api_key: YOUR_API_KEY" >> /etc/datadog-agent/datadog.yaml

# Start agent
systemctl start datadog-agent
systemctl enable datadog-agent
```

### Docker

```yaml
# docker-compose.yml
version: '3.8'

services:
  datadog-agent:
    image: gcr.io/datadoghq/agent:7
    environment:
      - DD_API_KEY=${DD_API_KEY}
      - DD_SITE=datadoghq.com
      - DD_LOGS_ENABLED=true
      - DD_APM_ENABLED=true
      - DD_PROCESS_AGENT_ENABLED=true
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:ro
      - /proc/:/host/proc/:ro
      - /sys/fs/cgroup/:/host/sys/fs/cgroup:ro
    ports:
      - "8126:8126"  # APM
      - "8125:8125/udp"  # DogStatsD
```

### Kubernetes

```bash
# Using Helm
helm repo add datadog https://helm.datadoghq.com

helm install datadog datadog/datadog \
  --set datadog.apiKey=${DD_API_KEY} \
  --set datadog.site=datadoghq.com \
  --set datadog.logs.enabled=true \
  --set datadog.apm.portEnabled=true \
  --set datadog.processAgent.enabled=true \
  --namespace datadog \
  --create-namespace
```

## Agent Configuration

```yaml
# /etc/datadog-agent/datadog.yaml
api_key: YOUR_API_KEY
site: datadoghq.com

# Hostname
hostname: myserver.example.com

# Tags applied to all metrics
tags:
  - env:production
  - service:myapp
  - team:platform

# Log collection
logs_enabled: true

# APM
apm_config:
  enabled: true
  apm_dd_url: https://trace.agent.datadoghq.com

# Process monitoring
process_config:
  enabled: true

# Container monitoring
container_collect_all: true
````
END THIRD-PARTY FILE 99fe07a01a946bae

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