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Vivekmano27
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monitoring-setup

Configure Prometheus, Grafana, and Docker monitoring with JSON logs and health checks.

Updated Mar 14, 2026
Search Tags:#dashboards#logging#metrics#observability#grafana#prometheus#health-check
One-click install
npx skills add https://github.com/Vivekmano27/agent-orchestrator --skill monitoring-setup-vivekmano27
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: monitoring-setup
Source: https://github.com/Vivekmano27/agent-orchestrator/tree/main/plugins/project-orchestrator/skills/monitoring-setup
Command: npx skills add https://github.com/Vivekmano27/agent-orchestrator --skill monitoring-setup-vivekmano27

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Observability is essential for maintaining production reliability. This Skill provides a ready-to-go setup that integrates structured logging, metrics, tracing, alerting, and dashboards to monitor service health and performance.

Core Features & Use Cases

  • Structured logging with JSON format and health checks
  • Metrics collection via Prometheus and Grafana dashboards, plus a local docker-compose monitoring stack
  • OpenTelemetry tracing and alerting rules to detect latency and failures
  • Quick integration guide for production-grade services across environments

Quick Start

Activate the monitoring setup in your project and let it automatically configure logging, metrics, and dashboards for production observability.

Frequently Asked Questions about monitoring-setup

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

FAQPage Schema
How do I set up observability for my production services using Prometheus and Grafana?▼

Observability is configured by providing structured JSON logging, metrics collection via Prometheus, Grafana dashboards, OpenTelemetry tracing, and alerting rules to monitor service health and performance.

What is the best way to configure structured logging and health checks for containerized environments?▼

Configuring structured logging and health checks for containerized environments is handled by providing a standardized JSON log format and a dedicated health check endpoint to monitor service reliability.

Does this observability setup support OpenTelemetry tracing and alerting rules?▼

Yes, this observability setup supports OpenTelemetry tracing and alerting rules to detect latency and failures across backend, API, and database environments for production-grade services.

Can I use this monitoring stack for backend, API, and database environments?▼

You can use this monitoring stack across backend, API, and database environments, applying end-to-end observability with structured logging, metrics, tracing, and alerting for production reliability.

How do I integrate a local Docker monitoring stack with my application?▼

You integrate a local Docker monitoring stack by activating the monitoring setup in your project, which automatically configures logging, metrics, and dashboards using the included docker-compose configuration.

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