Prometheus & Monitoring

Stop Flying Blind — Know Exactly How Your Systems Are Doing

You’ve built apps and deployed them on Linux. But once they’re live, can you answer the only question that matters at 3am — is it actually healthy? This course takes you from “I’ll find out when a user complains” to a real, running monitoring stack that watches everything and warns you before things break.

Using Prometheus, Grafana, and Alertmanager — all running as a Docker Compose stack you build yourself — you’ll scrape metrics, query them, instrument your own code, visualize the signals that matter, and fire real alerts. By the end, observability won’t be a buzzword. It’ll be something you can stand up from scratch.

What You’ll Learn

• Understand monitoring vs observability, and how metrics differ from logs and traces
• Run Prometheus with Docker Compose and grasp its pull-based scraping model
• Collect system metrics with node_exporter and read the raw /metrics format
• Query anything with PromQL — labels, rate(), aggregation, and real golden-signal queries
• Instrument your own Python app with prometheus_client — counters, gauges, and histograms
• Choose the right metric types and expose your app for scraping
• Build live dashboards in Grafana around the four golden signals
• Write alerting rules, then route and deliver notifications with Alertmanager
• Tie it all together into a complete, production-shaped monitoring stack

How You’ll Learn

Every lesson is built around running the real thing yourself:

• Grow one Docker Compose monitoring stack on your own machine, lesson by lesson
• Lock in each concept with a quick quiz
• Follow short, targeted video walkthroughs
• Keep the configs and code for every step as a reference

You won’t just learn what Prometheus is — you’ll scrape, query, instrument, visualize, and alert.

Where This Fits Your Journey

This is the observability link in the BytExplorer chain: write it → structure it → deploy on Linux → serve & secure it with Nginx → containerize with Docker → monitor it with Prometheus.

Recommended first: Linux Essentials and Practical Docker on Linux (the stack runs as containers), with Python Essentials handy for instrumenting your own app.

After this course you’ll never deploy something and just hope it’s fine. You’ll know — with dashboards on your screen and alerts in your pocket.

Ready to see inside your systems? Let’s start watching.