Introduction

Mastering Prometheus and Grafana is a practical, end-to-end course that teaches you how to build modern observability for applications and infrastructure—covering metrics collection, alerting, dashboards, and service health using battle-tested open-source tooling. You’ll learn how to design resilient telemetry pipelines, create actionable visualizations, and operationalize monitoring with service-level objectives (SLOs) and error budgets to drive reliable delivery in cloud, hybrid, and on-prem environments.

Comprehensive trainings and bootcamps across industry platforms emphasize observability stacks centered on Prometheus for metrics and Grafana for visualization, reflecting widespread adoption and real-world workflows.

Course overview

Starting from first principles, you’ll model metrics that matter, architect Prometheus scraping and federation, and configure robust alerting routed to on-call systems. Then you’ll design Grafana dashboards that strengthen incident response and decision-making, with templating, variables, and panel best practices. The course includes cloud-native patterns for Kubernetes, microservices, exporters, and service discovery, plus guidance on scaling, reliability, and cost-awareness.

Key learning outcomes

• Metrics that matter: Define RED/USE methods, SLIs/SLOs, and error budgets for meaningful monitoring.
• Prometheus architecture: Scrape configs, relabeling, recording rules, federation, and high availability.
• Querying with PromQL: Time-series analysis, rate/irate/increase, aggregations, and joins.
• Alerting workflows: Alerting rules, silence and inhibition strategies, and on-call routing practices.
• Grafana dashboards: Panels, variables, templating, drill-downs, and storytelling for stakeholders.
• Kubernetes observability: Exporters, service discovery, pod/node health, and capacity signals.
• Reliability & scale: Performance tuning, retention, remote write, and multi-environment design.

Hands-on modules

• Module 1: Observability foundations — SLIs, SLOs, error budgets, and metric taxonomy.
• Module 2: Prometheus setup — scraping, jobs, targets, relabeling, and recording rules.
• Module 3: PromQL deep dive — patterns for alerts, capacity, latency, and saturation.
• Module 4: Alerting pipelines — rule design, routing, escalation, and maintenance windows.
• Module 5: Grafana dashboards — variables, templating, drill-through, and design heuristics.
• Module 6: Kubernetes & cloud — exporters, service discovery, remote write, and federation.
• Module 7: Scale & resilience — retention, performance tuning, and multi-tenant strategies.
• Capstone: Production-grade observability stack with SLO dashboards and incident runbooks.

Explore These Valuable Resources

• Prometheus Documentation Overview
• Grafana Official Documentation
• OpenTelemetry Documentation

Explore Related Courses

• Kubernetes Monitoring & Observability
• DevOps Foundations
• Site Reliability Engineering
• Logging & Distributed Tracing
• Cloud Infrastructure Monitoring

Who should enroll?

Ideal for DevOps engineers, SREs, platform teams, and cloud architects who need operational visibility and reliable alerting. Software engineers and IT administrators will learn to convert raw telemetry into actionable insights that reduce toil, accelerate incident response, and improve customer experience.

Conclusion

By mastering Prometheus and Grafana, you’ll build observability systems that surface the right signals, guide faster decisions, and scale with your architecture. The result is a durable monitoring practice that aligns engineering effort with reliability goals and business outcomes.