Prometheus Mastery
@amitmund
July 09, 2026
Prometheus Mastery
The Complete Beginner to Advanced Guide to Prometheus, Metrics, Monitoring, Alerting, Service Discovery, Cloud-Native Observability, Kubernetes Monitoring, and Enterprise Monitoring Systems
Course Goal
This course is designed to take you from absolute beginner to production-ready Monitoring Engineer, Observability Engineer, DevOps Engineer, Platform Engineer, Cloud Engineer, or Site Reliability Engineer (SRE).
By the end of this learning track, you will be able to:
- Master Prometheus Fundamentals
- Understand Time-Series Databases (TSDB)
- Build Enterprise Monitoring Systems
- Collect Metrics from Any Application
- Master PromQL
- Configure Alertmanager
- Monitor Kubernetes & Cloud Infrastructure
- Scale Prometheus for Large Environments
- Build Production Observability Platforms
- Prepare for DevOps & SRE Interviews
Prerequisites
- Linux Fundamentals
- Networking Basics
- Docker Fundamentals
- Kubernetes Basics (Recommended)
- Grafana Basics (Helpful)
Course Structure
Module 1 — Prometheus Fundamentals
Chapter 1 — Introduction to Prometheus
- Learning Objectives
- What is Prometheus?
- History of Prometheus
- CNCF Project
- Why Prometheus?
- Monitoring Philosophy
- Pull vs Push Monitoring
- Metrics-Based Monitoring
- Prometheus Terminology
Chapter 2 — Prometheus Architecture
- Prometheus Server
- TSDB
- Exporters
- Targets
- Service Discovery
- PromQL Engine
- Alertmanager
- Federation
- Remote Storage
Chapter 3 — Installation & Setup
- Linux Installation
- Docker Installation
- Docker Compose
- Kubernetes Installation
- Binary Installation
- Configuration Files
- CLI Options
- Initial Setup
Chapter 4 — Prometheus Configuration
- prometheus.yml
- scrape_configs
- global
- rule_files
- remote_write
- remote_read
- storage
- retention
Chapter 5 — First Monitoring Setup
- Add Targets
- Scrape Metrics
- Verify Targets
- Query Metrics
- Visualize Data
- Troubleshooting
Module 2 — Metrics Fundamentals
Chapter 6 — Metrics Concepts
Chapter 7 — Counter
Chapter 8 — Gauge
Chapter 9 — Histogram
Chapter 10 — Summary
Chapter 11 — Labels
Chapter 12 — Time Series
Chapter 13 — Cardinality
Module 3 — PromQL
Chapter 14 — PromQL Basics
Chapter 15 — Selectors
Chapter 16 — Operators
Chapter 17 — Aggregation
Chapter 18 — Functions
Chapter 19 — Vector Matching
Chapter 20 — Recording Rules
Chapter 21 — Query Optimization
Module 4 — Exporters
Chapter 22 — Node Exporter
Chapter 23 — Blackbox Exporter
Chapter 24 — SNMP Exporter
Chapter 25 — Windows Exporter
Chapter 26 — MySQL Exporter
Chapter 27 — PostgreSQL Exporter
Chapter 28 — Redis Exporter
Chapter 29 — NGINX Exporter
Chapter 30 — HAProxy Exporter
Chapter 31 — Kafka Exporter
Module 5 — Application Monitoring
Chapter 32 — Client Libraries
Chapter 33 — Python Instrumentation
Chapter 34 — Go Instrumentation
Chapter 35 — Java Instrumentation
Chapter 36 — Node.js Instrumentation
Chapter 37 — Custom Metrics
Chapter 38 — Business Metrics
Module 6 — Service Discovery
Chapter 39 — Static Targets
Chapter 40 — Kubernetes Service Discovery
Chapter 41 — Docker Service Discovery
Chapter 42 — Consul
Chapter 43 — EC2 Service Discovery
Chapter 44 — Azure Discovery
Chapter 45 — GCP Discovery
Chapter 46 — File-Based Discovery
Module 7 — Alertmanager
Chapter 47 — Alertmanager Architecture
Chapter 48 — Alert Rules
Chapter 49 — Routing
Chapter 50 — Grouping
Chapter 51 — Silencing Alerts
Chapter 52 — Inhibition
Chapter 53 — Email Notifications
Chapter 54 — Slack Integration
Chapter 55 — PagerDuty Integration
Chapter 56 — Webhooks
Module 8 — Grafana Integration
Chapter 57 — Connecting Grafana
Chapter 58 — Dashboards
Chapter 59 — Variables
Chapter 60 — Alert Visualization
Chapter 61 — Dashboard Best Practices
Module 9 — Kubernetes Monitoring
Chapter 62 — kube-prometheus-stack
Chapter 63 — kube-state-metrics
Chapter 64 — cAdvisor
Chapter 65 — Metrics Server
Chapter 66 — Kubernetes ServiceMonitor
Chapter 67 — PodMonitor
Chapter 68 — Prometheus Operator
Chapter 69 — Alert Rules for Kubernetes
Module 10 — Cloud Monitoring
Chapter 70 — AWS Monitoring
Chapter 71 — Azure Monitoring
Chapter 72 — Google Cloud Monitoring
Chapter 73 — Cloud Exporters
Chapter 74 — Multi-Cloud Monitoring
Module 11 — Scaling Prometheus
Chapter 75 — Federation
Chapter 76 — Remote Write
Chapter 77 — Remote Read
Chapter 78 — Thanos
Chapter 79 — Cortex
Chapter 80 — Grafana Mimir
Chapter 81 — Long-Term Storage
Module 12 — Security
Chapter 82 — TLS
Chapter 83 — Authentication
Chapter 84 — Authorization
Chapter 85 — Network Security
Chapter 86 — Secure Metrics
Chapter 87 — Best Practices
Module 13 — Performance & Optimization
Chapter 88 — Retention Policies
Chapter 89 — Cardinality Optimization
Chapter 90 — Query Optimization
Chapter 91 — Resource Tuning
Chapter 92 — TSDB Optimization
Chapter 93 — Performance Monitoring
Module 14 — Enterprise Monitoring
Chapter 94 — Linux Monitoring
Chapter 95 — Windows Monitoring
Chapter 96 — Docker Monitoring
Chapter 97 — Kubernetes Monitoring
Chapter 98 — Database Monitoring
Chapter 99 — Network Monitoring
Chapter 100 — Application Monitoring
Chapter 101 — Cloud Infrastructure Monitoring
Module 15 — Real-World Projects
Chapter 102 — Linux Monitoring Platform
Chapter 103 — Kubernetes Monitoring Platform
Chapter 104 — Multi-Cluster Monitoring
Chapter 105 — Enterprise Monitoring Stack
Chapter 106 — Cloud Monitoring Platform
Chapter 107 — Microservices Monitoring
Chapter 108 — Production Observability Platform
Module 16 — Interview Preparation
Chapter 109 — Beginner Questions
Chapter 110 — Intermediate Questions
Chapter 111 — Advanced Questions
Chapter 112 — PromQL Challenges
Chapter 113 — Troubleshooting Interviews
Chapter 114 — Mock Interviews
Module 17 — Bonus
Chapter 115 — Prometheus Tips & Tricks
Chapter 116 — Hidden Features
Chapter 117 — Productivity Hacks
Chapter 118 — Common Workarounds
Chapter 119 — Enterprise Best Practices
Chapter 120 — Future of Prometheus
Every Chapter Includes
Each chapter follows the same professional structure:
- Learning Objectives
- Prerequisites
- Theory
- Internal Working
- Prometheus Architecture
- TSDB Internals
- Metrics Flow
- Scraping Process
- Mermaid Diagrams
- ASCII Diagrams
- Flowcharts
- Prometheus Configuration Examples
- YAML Examples
- PromQL Examples
- Exporter Configuration
- Alert Rules
- Alertmanager Configuration
- Kubernetes Examples
- Docker Examples
- Grafana Integration
- Production Examples
- Enterprise Case Studies
- Best Practices
- Performance Optimization
- Security Notes
- Common Mistakes
- Troubleshooting Guide
- FAQs
- Hands-on Labs
- Home Lab Exercises
- Mini Projects
- Capstone Projects
- Exercises
- Quiz
- Interview Questions
- Challenge Problems
- Cheat Sheet
- Summary
- References
- Further Reading
- Revision Notes
- Glossary
Hands-on Labs
- Install Prometheus on Linux
- Deploy Prometheus using Docker
- Configure Node Exporter
- Monitor Linux Servers
- Build Custom PromQL Queries
- Configure Alertmanager
- Send Alerts to Email & Slack
- Monitor Docker Containers
- Deploy kube-prometheus-stack
- Monitor Kubernetes Clusters
- Integrate Prometheus with Grafana
- Configure Thanos for Long-Term Storage
- Build Multi-Cluster Monitoring
- Create Enterprise Alert Rules
- Build a Complete Observability Platform
Capstone Projects
- Linux Monitoring Platform
- Enterprise Infrastructure Monitoring
- Kubernetes Monitoring Stack
- Cloud Infrastructure Monitoring
- Multi-Cluster Prometheus Platform
- Enterprise Alerting System
- Production Observability Platform
- Hybrid Cloud Monitoring
- Complete SRE Monitoring Platform
- Enterprise Monitoring & Alerting Solution
Prometheus Ecosystem Covered
Core Components
- Prometheus Server
- TSDB
- PromQL
- Alertmanager
- Pushgateway
- Prometheus Operator
Exporters
- Node Exporter
- Blackbox Exporter
- SNMP Exporter
- Windows Exporter
- MySQL Exporter
- PostgreSQL Exporter
- Redis Exporter
- Kafka Exporter
- NGINX Exporter
- HAProxy Exporter
Integrations
- Grafana
- Kubernetes
- Docker
- Loki
- Tempo
- Thanos
- Cortex
- Grafana Mimir
Certification Preparation
This course prepares you for:
- Linux Foundation Kubernetes Certifications (CKA, CKAD, CKS)
- CNCF Observability Certifications
- Grafana Labs Certifications
- Prometheus & Kubernetes Interviews
- DevOps & SRE Interviews
Estimated Course Size
- 17 Modules
- 120 Chapters
- 4,000+ Pages
- 2,000+ PromQL & YAML Examples
- 600+ Architecture Diagrams
- 250+ Hands-on Labs
- 70+ Enterprise Projects
- Production Monitoring Case Studies
- Complete Interview Preparation
Final Outcome
After completing this learning track, you will be able to:
- Design and deploy enterprise-grade Prometheus monitoring platforms
- Master PromQL for advanced metrics analysis
- Configure exporters, Alertmanager, and service discovery
- Monitor Linux, Docker, Kubernetes, cloud infrastructure, databases, and applications
- Scale Prometheus using Thanos, Cortex, or Grafana Mimir
- Integrate Prometheus seamlessly with Grafana and modern observability stacks
- Troubleshoot and optimize production monitoring environments
- Work confidently as a Monitoring Engineer, Observability Engineer, DevOps Engineer, Platform Engineer, Cloud Engineer, or Site Reliability Engineer (SRE)
- Successfully pass Prometheus, Kubernetes, DevOps, and SRE technical interviews