Advanced Prometheus Alerting and Monitoring
Modern software systems are complex, distributed, and always on which makes monitoring a critical skill for any engineer. This course equips developers, SREs, and IT professionals with the ability to build a complete monitoring stack using Prometheus and Grafana. Starting from the basics of exporters and metric collection, learners will gain hands-on experience installing and configuring Prometheus in a Linux environment. They will then master PromQL, the powerful query language that transforms raw time-series data into actionable insights. Moving beyond queries, the course introduces alerting rules and Alertmanager, enabling proactive detection of anomalies and faster incident response. Finally, learners will integrate Prometheus with Grafana to design intuitive dashboards that bring clarity to complex systems and support real-world troubleshooting.
This course is ideal for DevOps engineers, system administrators, site reliability engineers (SREs), and cloud professionals who want to strengthen their monitoring and alerting skills. It’s also a great fit for developers looking to better understand how to maintain high-performing systems in production.
Learners should have a basic understanding of Linux, cloud environments, and containerization tools like Docker or Kubernetes. Familiarity with Prometheus fundamentals and basic alerting concepts will be helpful but is not mandatory.
By the end of the course, participants will have the skills and confidence to implement a monitoring system that improves reliability, reduces downtime, and enhances observability in production environments.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Backend Performance
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
The OpenAI Breach Wasn't About OpenAI – It Was About the 84 Packages Above Them
Dev.to · Dimitris Kyrkos
Years of Apple's Best Security Work, Cracked in Five Days — Here's What Developers Should Know
Dev.to · ArshTechPro
TorCT PHP RAT 2026
Dev.to AI
Building a Post-Quantum E2EE Library: Introducing Paranoia.ts (searching contributors)
Dev.to · Matéo Callec
🎓
Tutor Explanation
DeepCamp AI