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Grafana Full Course 2026
Rating: 5.0 out of 5(2 ratings)
124 students

Grafana Full Course 2026

Grafana Full Course 2026
Created byBhoopesh Sharma
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Grafana
  • OpenTelemetry
  • Grafana Cloud
  • Monitoring
  • Observability

Course content

2 sections • 21 lectures • 3h 28m total length

  • Chapter 1 : Introduction to Grafana Full Course - Free Lecture2:12
  • Chapter 2: Infrastructure Monitoring of Kubernetes10:01
  • Chapter 3 : Kubernetes Logging using Loki and Grafana9:03
  • Chapter 4 : Kubernetes Tracing using Tempo and Grafana5:16
  • Chapter 5 : What is TimeSeries DB and how PromQL is used for Prometheus6:46
  • Chapter 6 : How to create Grafana Dashboard from scratch6:22
  • Chapter 7 : How to setup Grafana Alerting6:43
  • Chapter 8 : Application Monitoring Concepts2:43
  • Chapter 9 : Application Monitoring using Micrometer10:02
  • Chapter 10 : RUM using Grafana Faro in Grafana Open Source (Local Grafana)14:48
  • Chapter 11 : Grafana Interview Questions for 202625:47

Requirements

  • No Programming Experience

Description

  1. Learn Dashboards, Alerts, Prometheus, Grafana Loki, Grafana Tempo, Grafana Mimir, Grafana Alloy, Grafana Faro & Open Telemetry step-by-step.

  2. Build complete cloud-native observability setups with logs, metrics & traces in one powerful course using Kubernetes & modern monitoring practices.

  3. Explore AI Monitoring, MCP Integrations, Automation & the modern Grafana Labs ecosystem tools used in production environments.

  4. Perfect for Students, DevOps Engineers, SREs & Cloud Professionals with hands-on practical demos in Hindi and industry-focused real-world implementations.

  5. Understand complete monitoring architecture from scratch including Infrastructure Monitoring, Application Monitoring, Kubernetes Observability, Centralized Logging, Distributed Tracing & Incident Response workflows. Learn how enterprise teams monitor production systems using scalable and highly available observability stacks.

  6. Configure real production-grade environments with Docker, Kubernetes, Helm, Linux servers & cloud-native tools while understanding best practices for dashboards, alerting rules, recording rules, log pipelines and telemetry collection.

  7. Gain practical experience by building end-to-end monitoring projects, troubleshooting live issues, optimizing performance bottlenecks and visualizing critical business metrics through interactive dashboards and analytics.

  8. Learn deployment strategies, multi-cluster monitoring, service discovery, SLOs, SLIs, AI-powered observability workflows, security monitoring concepts and modern DevOps troubleshooting techniques used by top cloud-native organizations and enterprise teams worldwide for reliable scalable systems.

  9. By the end of this course, confidently design, deploy and manage complete observability platforms for modern cloud-native production environments.

Who this course is for:

  • Beginner can also choose this course

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