monitoring

Automate production observability setup for FastAPI and Next.js apps.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mrsknetwork/nemodev --skill monitoring-mrsknetwork
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monitoring
Source: https://github.com/mrsknetwork/nemodev/tree/main/skills/domains/references/monitoring
Command: npx skills add https://github.com/mrsknetwork/nemodev --skill monitoring-mrsknetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Production apps often lack observability, making errors hard to detect, performance issues hard to diagnose, and uptime uncertain. This skill sets up a minimal but robust observability stack including Sentry for errors, structured logging with structlog, Prometheus metrics, and basic uptime monitoring.

Core Features & Use Cases

  • Error tracking with Sentry to capture exceptions and provide context.
  • Structured logging with structlog for searchable, JSON-formatted logs.
  • Application metrics with Prometheus to monitor latency, throughput, and error rates.
  • Health checks and basic uptime monitoring to alert on outages.

Quick Start

Enable Sentry, structlog, Prometheus, and a health endpoint to establish production observability.

Frequently Asked Questions about monitoring

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

FAQPage Schema
How do I set up production observability for a FastAPI backend?

Production observability for a FastAPI backend is set up by integrating Sentry for error tracking, structlog for structured JSON logging, and Prometheus to monitor latency and throughput. This combination provides full visibility into live system behavior.

What's the best way to add error tracking and structured logging to a Next.js frontend?

Error tracking and structured logging for a Next.js frontend are best added using the Sentry wizard integration. This automatically captures exceptions and provides actionable context for frontend issues during production.

Can I use Prometheus metrics and Sentry together in the same application?

Yes, Prometheus metrics and Sentry can be used together in the same application. Prometheus handles quantitative metrics like latency and throughput, while Sentry captures exceptions and error context for qualitative observability.

How do I configure health checks and uptime monitoring for production apps?

Health checks and uptime monitoring are configured by enabling a dedicated health endpoint alongside the observability stack. This setup alerts you to system outages and diagnoses performance issues in production environments.

Why do I need structured logging with structlog instead of standard logging?

Structured logging with structlog is needed because it formats logs as searchable JSON outputs rather than plain text. This makes production logs significantly easier to query and debug when diagnosing live issues.

Does this observability setup require any external monitoring services to run?

The observability setup relies on integrating external services like Sentry for error tracking and a Prometheus server for metrics. Without these external endpoints, the local instrumentation cannot aggregate or display production data.