observability

Design AWS observability solutions with CloudWatch metrics, logs, alarms, and X-Ray tracing.

15|20|Updated May 11, 2026
One-click install
npx skills add https://github.com/awslabs/startups --skill observability-awslabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/awslabs/startups/tree/main/solution-architecture/plugins/aws-dev-toolkit/skills/observability
Command: npx skills add https://github.com/awslabs/startups --skill observability-awslabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams design effective AWS observability systems by reducing blind spots in metrics, logs, alarms, dashboards, and distributed tracing.

Core Features & Use Cases

  • CloudWatch Monitoring Design: Configure metrics, alarms, anomaly detection, dashboards, and service-specific monitoring strategies for AWS workloads.
  • Log and Trace Analysis: Create structured logging approaches, CloudWatch Logs Insights queries, and X-Ray tracing solutions to diagnose production issues.
  • Use Case: Improve the reliability of a production application by creating alerting rules, dashboards, and trace analysis workflows across Lambda, ECS, RDS, DynamoDB, and other AWS services.

Quick Start

Use the observability skill to design a CloudWatch dashboard, alarms, and X-Ray tracing strategy for my AWS application.

Frequently Asked Questions about observability

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

FAQPage Schema
How do I design CloudWatch monitoring and alarms for my AWS application?

Configure CloudWatch monitoring by defining service-specific metrics, anomaly detection, alarms, and dashboard layouts to track application health across AWS workloads like Lambda, ECS, and RDS.

What is the best way to analyze CloudWatch Logs Insights and X-Ray traces for production debugging?

Diagnose production issues by applying structured logging approaches, CloudWatch Logs Insights queries, and X-Ray tracing solutions to pinpoint anomalies across distributed AWS workloads.

Does this observability approach work for Lambda, ECS, and DynamoDB reliability workflows?

Yes, this AWS observability strategy creates service-specific alerting rules, dashboards, and tracing workflows tailored for production reliability across Lambda, ECS, RDS, and DynamoDB workloads.

How do I set up anomaly detection and alarm patterns in AWS CloudWatch?

Apply structured monitoring strategies and service-specific alarm patterns in CloudWatch to configure anomaly detection, alerting on unusual metric behavior and application health degradation.

Why do I need distributed tracing and structured logging for my AWS workloads?

You need distributed tracing and structured logging to eliminate metric and log blind spots, enabling effective X-Ray debugging and faster diagnosis of production reliability issues across AWS services.