datadog-observability

What problem does it solve?

This Skill provides a ready-to-use pattern for integrating Datadog observability into Go services, enabling consistent tracing, metrics, and dashboard visibility without rebuilding instrumentation from scratch.

Core Features & Use Cases

• APM tracing: automatically instrument HTTP handlers and Go routines to generate traces in Datadog.
• Metrics: send custom and default metrics via StatsD to Datadog for monitoring service performance.
• Dashboard conventions: standardize dashboards and tags across services for unified observability.
• Use Case: when you deploy a new Go API, instrument main startup to emit traces and metrics so latency and error rates are visible in Datadog.

Quick Start

Install and run the Datadog agent locally, then initialize the tracer and metrics client in your Go application before starting the server. Use the provided router instrumentation and helper functions to annotate custom operations and ensure consistent tagging across services.