
Prometheus provides powerful monitoring and alerting by scraping metrics from operating systems and applications via exporters and client libraries, pulling data over HTTP to the Prometheus server.
Explore Prometheus installation options—from docker containers and precompiled binaries to Kubernetes helm charts—installing on a Unix cloud server to mirror production, with a basic Prometheus UI.
Install and configure the node exporter on a linux machine and run it on port 9100. Update prometheus.yaml to add node exporter job for localhost:9100 and verify metrics in Prometheus.
Discover how the black box exporter enables Prometheus to monitor network endpoints by probing HTTP, HTTPS, DNS, and ICMP with configurable modules, improving uptime and visibility.
Install Prometheus in Kubernetes using the Prometheus community helm chart, add the repo, install with helm, and verify resources like Prometheus server, alert manager, kube state metrics, and node exporter.
Learn methods to access Prometheus on a Kubernetes cluster, including port forwarding, node port and load balancer services, and viewing Prometheus targets, pods, and metrics.
Learn how to expose gauge metrics with Prometheus in a Python app, tracking live in-progress requests and last served time, with inc, dec, set, and track_in_progress annotations.
Learn how to expose and compare histogram metrics in Prometheus, including bucket interpretation, latency measurement, and integrating histogram alongside summary metrics using Python decorators.
Instrument a dockerized Python Flask app with Prometheus metrics by creating an app.py, exposing the /metrics endpoint, and building a docker image using a tailored dockerfile.
Instrument a go app with a Prometheus counter, expose /metrics, and configure Prometheus to scrape the app, enabling real-time visibility of request counts.
Are you ready to master monitoring and observability with the world’s most popular open-source tools — Prometheus and Grafana?
In today’s fast-paced DevOps and Cloud environments, effective monitoring is no longer optional — it’s a must-have skill for every DevOps Engineer, SRE, and Cloud Professional. This hands-on course will guide you step by step, from setting up Prometheus and Grafana to building real-world dashboards, alerts, and monitoring pipelines.
You’ll learn how to:
Install and configure Prometheus for metrics collection.
Build powerful Grafana dashboards to visualize data.
Set up alerting rules & notifications for proactive incident management.
Monitor applications, servers, containers, and cloud infrastructure.
Apply your skills with hands-on labs & real-world projects.
This course is designed for beginners and professionals alike. Even if you’ve never worked with Prometheus or Grafana before, we’ll cover everything from scratch with practical demos and examples.
By the end of this course, you’ll have the confidence to set up production-ready monitoring solutions that will give you — and your team — complete visibility into your systems.
Whether you are preparing for your next DevOps role, improving your SRE skill set, or simply want to upgrade your monitoring stack, this course will help you achieve your goals.
Enroll now and take the first step toward becoming a Prometheus & Grafana expert!