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🚀 Monitoring with Prometheus — A Personal Project

Welcome to my Prometheus documentation project — a personal initiative to showcase deep expertise in monitoring, observability, and cloud-native systems.

This site is structured as a complete guide to Prometheus, blending fundamentals, hands-on examples, best practices, and advanced topics.
It is designed for engineers, SREs, and learners who want to understand Prometheus from zero to production-ready scale.

🎯 Project Purpose

  • ✅ Demonstrate expert knowledge in Prometheus, observability, and the monitoring ecosystem.
  • 📚 Provide a world-class learning resource that assumes no prior knowledge.
  • 🧑‍💼 Serve as a portfolio piece highlighting my technical writing, system design, and DevOps skills.

🧭 Quick Overview of Prometheus

Prometheus is an open-source monitoring and alerting toolkit that:
- 🔧 Collects metrics from applications, systems, and services.
- 📊 Stores them in a purpose-built time-series database (TSDB).
- 🔍 Provides a powerful query language (PromQL) for analysis.
- 🔔 Integrates with Alertmanager for notifications.
- ⚡ Pairs with Grafana for visualization.

⚡ Getting Started

Jump into the Quick Start guide to see Prometheus in action: - Install and run Prometheus.
- Scrape your first target.
- Query data using PromQL.
- Visualize metrics in Grafana.
- Trigger a simple alert.

📐 Architecture & Components

This project explains Prometheus from the ground up:

  • Core Concepts → Targets, exporters, metrics, labels.
  • Prometheus Server → Scraping, TSDB, querying.
  • Alertmanager → Alerts and routing.
  • Grafana → Visualization.
  • Scaling → Thanos, Cortex, federation, long-term storage.

Explore diagrams and workflows in Architecture.

📚 Documentation Roadmap

The site is organized as a step-by-step progression:

  • Quick Start → Setup, scrape your first metrics, build intuition.
  • Architecture → Understand internals and ecosystem.
  • PromQL & Features → Querying, alerting, exporters.
  • Scaling & Best Practices → Long-term storage, high-cardinality handling.
  • About Me → My background, expertise, and contact.

🧪 Example Use Cases

Prometheus is used widely for:

  • 🖥️ System Monitoring → CPU, memory, disk metrics.
  • 📦 Kubernetes Monitoring → Nodes, pods, cluster health.
  • 🛠️ Application Monitoring → API traffic, error rates, latency.
  • 🔔 Alerting → Incident detection, anomaly detection.

These examples are included as practical demos in this documentation.

💡 About This Project

This documentation is a personal showcase of expertise in monitoring and DevOps.
It combines:

  • Technical accuracy
  • Hands-on best practices
  • Clear explanations for all levels

License: MIT

Maintained by Sean Njela.