aws-observability

Configure AWS observability across CloudWatch, X-Ray, CloudTrail, and ADOT.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/AndreKurait/claude-marketplace-test --skill aws-observability-andrekurait
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aws-observability
Source: https://github.com/AndreKurait/claude-marketplace-test/tree/main/plugins/aws-core/skills/aws-observability
Command: npx skills add https://github.com/AndreKurait/claude-marketplace-test --skill aws-observability-andrekurait

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

AWS observability is fragmented across multiple services. This Skill provides guidance to configure and operate CloudWatch, X-Ray, CloudTrail, and ADOT to unify visibility, accelerate troubleshooting, and enable auditable monitoring.

Core Features & Use Cases

  • End-to-end observability design for logs, metrics, and traces across AWS services
  • Tracing setup with ADOT/X-Ray, sampling rules, and annotations vs metadata guidance
  • CloudWatch alarms, dashboards, and Log Insights query guidance; CloudTrail operational auditing
  • Use Case: when you need to diagnose a service issue, configure traces, alarms, and dashboards to surface root cause quickly

Quick Start

Install and configure AWS observability tooling to collect metrics, logs, and traces across CloudWatch, X-Ray, and ADOT.

Frequently Asked Questions about aws-observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure AWS observability across CloudWatch and X-Ray for production workloads?

AWS observability configuration unifies logs, metrics, and traces across CloudWatch, X-Ray, CloudTrail, and ADOT. You set up alarms, dashboards, Log Insights queries, and tracing to accelerate troubleshooting and improve system visibility for production-grade workloads.

What is the best way to set up tracing with ADOT and X-Ray sampling rules?

Tracing with ADOT and X-Ray involves configuring sampling rules and distinguishing annotations from metadata. This setup captures distributed traces across diverse AWS services, enabling rapid root cause analysis during service incidents.

Can I use CloudWatch embedded metric format instead of PutMetricData for custom metrics?

Yes, CloudWatch supports both embedded metric format (EMF) and PutMetricData for custom metrics. EMF lets you extract metrics directly from structured logs, while PutMetricData sends metric values programmatically to configure alarms and dashboards.

Does AWS observability require ADOT to collect traces, or can I use X-Ray directly?

AWS supports both ADOT and direct X-Ray for tracing. ADOT provides OpenTelemetry-based instrumentation with configurable sampling rules, while direct X-Ray offers native integration, letting you choose based on your existing observability stack.