Grafana LGTM Stack for Monitoring, Metrics, Logs, and Traces

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Grafana LGTM Stack for Monitoring, Metrics, Logs, and Traces, Grafana Labs’ observability: Loki – logs, Grafana – dashboards and visualization, Tempo – traces, Mimir – metrics.

Course Description

Unlock the full potential of the Grafana LGTM Stack—Loki, Grafana, Tempo, and Mimir—and master the art of monitoring, visualizing, and troubleshooting complex systems. This course is designed to equip you with in-demand skills in observability, helping you monitor metrics, aggregate logs, and trace distributed systems efficiently.

What You’ll Learn

  • Build, customize, and optimize Grafana dashboards for effective data visualization.
  • Configure and integrate Loki for log aggregation and Tempo for distributed tracing.
  • Leverage Mimir for long-term metric storage and advanced analytics.
  • Master Grafana panel options, transformations, and query expressions.
  • Troubleshoot systems by analyzing metrics, logs, and traces in real-world scenarios.

Course Highlights
Explore hands-on examples and practical scenarios to implement observability in modern infrastructures. Learn how Prometheus, InfluxDB, Loki, and Tempo work seamlessly within Grafana to help you monitor, analyze, and optimize performance. Dive into advanced visualization options like Heatmaps, Pie Charts, Node Graphs, and more, while gaining insights into powerful transformations and data filtering.

This course includes over 125 in-depth lectures across key topics like visualization, data sources, transformations, and Grafana setup. Whether you’re a beginner or an experienced professional, you’ll gain actionable knowledge and practical expertise to implement the Grafana LGTM Stack in real-world projects.

By the end of this course, you’ll be confident in monitoring systems, creating stunning dashboards, aggregating logs, and tracing distributed systems, enabling you to enhance system performance and reliability effectively.

Enroll now to take your observability skills to the next level!


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