aws-observability
This skill focuses on building, configuring, debugging, and optimizing AWS observability across CloudWatch (Logs Insights, Metrics, Alarms, Dashboards), X-Ray, CloudTrail, and ADOT. It helps users quickly resolve observability issues, optimize monitoring configurations, and ensure stable and efficient system operations, supporting log querying, alarm setup, and trace analysis.
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill aws-observabilityBefore / After Comparison
1 组Manually configuring AWS CloudWatch, X-Ray, and CloudTrail services requires consulting extensive documentation, writing complex query statements and alarm rules, which is time-consuming and error-prone, leading to slow monitoring system deployment.
Using this skill, you can quickly generate Log Insights queries, alarm configurations, and ADOT settings, significantly reducing manual operations and debugging time, accelerating the deployment and optimization of observability systems, and ensuring critical businesses quickly gain comprehensive monitoring.
AWS Observability
Overview
Domain expertise for AWS observability across metrics, logs, and traces. Covers CloudWatch platform capabilities (alarms, dashboards, Log Insights, custom metrics, EMF), X-Ray trace analysis, CloudTrail operational auditing, and ADOT collector configuration.
Works best with the AWS MCP server — enables running CLI commands, querying CloudWatch, and validating configurations directly. All guidance also works with standard AWS CLI access.
Note: Reference files contain specific runtime versions, quota values, and feature matrices that may change. When precision matters (e.g., deploying to production, choosing a runtime, or checking a quota), confirm values against current AWS documentation rather than relying solely on the values in these files.
Routing
| User need | Action |
|---|---|
| Writing Log Insights queries | Read log-insights.md |
| Configuring alarms (metric, composite, anomaly) | Read alarms.md |
| Publishing custom metrics or using EMF | Read metrics.md |
| Setting up X-Ray tracing or ADOT | Read tracing.md |
| Building dashboards | Read dashboards.md |
| Debugging observability issues | Read troubleshooting.md — starts with the 5 most common fixes |
| Debugging canary failures | Read synthetics.md — see Common failures table |
| CloudTrail operational auditing | Read cloudtrail.md |
| Setting up Lambda monitoring with CDK | Use alarm-template.ts as a starting point |
| Creating synthetic canaries | Read synthetics.md |
| Configuring ADOT collector | Use otel-config.yaml as a starting point |
| Spans multiple areas | Read the most specific reference first, then consult others as needed |
Files
| File | Content |
|---|---|
| alarms.md | Metric, composite, anomaly detection alarms — configuration, constraints, recommended defaults |
| log-insights.md | Complete query syntax, commands, functions, known issues, reusable query library |
| metrics.md | Custom metrics, EMF spec, metric filters, high-resolution, retention |
| tracing.md | X-Ray → ADOT migration, sampling rules, annotations vs metadata, collector config |
| dashboards.md | Widget types, cross-account/region, dynamic labels, sharing |
| troubleshooting.md | Error → cause → fix for all observability services |
| cloudtrail.md | Operational auditing, event types, S3+Athena queries |
| synthetics.md | Canary runtime/blueprint constraints, VPC networking, common failures |
| alarm-template.ts | Best-practice CDK Lambda monitoring (alarms + dashboard) |
| otel-config.yaml | ADOT collector config for X-Ray traces + CloudWatch EMF metrics |
User Reviews (0)
Write a Review
No reviews yet
Statistics
User Rating
Rate this Skill