datadog
CommunityUnified observability for your stack.
AuthorBagelHole
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive solution for implementing Datadog monitoring, Application Performance Monitoring (APM), and unified observability across your infrastructure and applications.
Core Features & Use Cases
- Agent Deployment: Install and configure Datadog agents on Linux, Docker, and Kubernetes.
- Integration Setup: Configure integrations for common services like MySQL, PostgreSQL, and NGINX.
- Log Collection: Set up file-based, Docker, and Kubernetes log collection.
- APM Instrumentation: Instrument applications in Python, Node.js, and Go for distributed tracing.
- Custom Metrics & Dashboards: Define custom metrics and create informative dashboards.
- Alerting: Configure metric and APM-based monitors for proactive issue detection.
- Use Case: You need to set up end-to-end monitoring for a new microservice deployed on Kubernetes, including infrastructure metrics, application traces, and logs, all visualized in a central dashboard with alerts for critical issues.
Quick Start
Use the datadog skill to install the agent on Linux and configure it with your API key.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: datadog Download link: https://github.com/BagelHole/DevOps-Security-Agent-Skills/archive/main.zip#datadog Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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