observability

Configure logging, monitoring, and alerting for cloud applications with AWS CloudWatch and Sentry.

3|Updated Apr 12, 2026

Search Tags:#monitoring #logging #observability #tracing #alerting #sentry #cloudwatch

Ready to run

npx skills add https://github.com/mauriciodelrio/delriodev-skills --skill observability-mauriciodelrio

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/mauriciodelrio/delriodev-skills/tree/main/es-skills/software/architecture/observability
Command: npx skills add https://github.com/mauriciodelrio/delriodev-skills --skill observability-mauriciodelrio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Observability gaps cause delayed incident detection; this skill provides a complete setup for logging, metrics, tracing, and alerting from day one.

Core Features & Use Cases

Structured JSON logging with defined log levels and retention policies.
Automatic CloudWatch log group configuration and log insights queries.
Custom CloudWatch metrics and Sentry error tracking integration.
Budget‑based decision tree for selecting tools like Datadog, CloudWatch, or Sentry.
Alerting pipelines via SNS, Slack, PagerDuty with severity tiers.
Tracing options using AWS X‑Ray, Datadog APM, or Grafana Tempo for microservices.

Quick Start

Ask the observability skill to generate a logging, monitoring, and alerting configuration for a Node.js Lambda service using CloudWatch and Sentry.

Frequently Asked Questions about observability

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

FAQPage Schema

How do I set up structured JSON logging and alerting for a Node.js Lambda service?▼

To set up structured JSON logging and alerting for a Node.js Lambda service, configure defined log levels, retention policies, and CloudWatch log groups. You can then integrate Sentry for error tracking and SNS for severity-tiered alerting pipelines.

What's the best way to choose between Datadog, CloudWatch, and Sentry for cloud application monitoring?▼

The best way to choose between Datadog, CloudWatch, and Sentry for cloud application monitoring is to apply a budget-based decision tree. This evaluates your cost constraints against the need for custom metrics, APM, or integrated error tracking.

How do I configure automated alerts and tracing for microservices using AWS X-Ray or Datadog APM?▼

To configure automated alerts and tracing for microservices using AWS X-Ray or Datadog APM, establish tracing pipelines and custom CloudWatch metrics. Route automated alerts through SNS, Slack, or PagerDuty using defined severity tiers for incident detection.

Does this observability configuration work with both serverless functions and containerized services?▼

Yes, this observability configuration works with both serverless functions and containerized services. It applies comprehensive logging, metrics, and tracing end-to-end using AWS CloudWatch, Sentry, and Datadog to ensure full traceability across cloud applications.

Can I integrate Sentry error tracking with CloudWatch metrics for automated incident detection?▼

Yes, you can integrate Sentry error tracking with CloudWatch metrics for automated incident detection. This combination enables structured JSON logs, custom metrics, and integrated error tracking to trigger automated alerts through SNS and PagerDuty pipelines.