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LinkedIn Learning

Prometheus and Grafana: Visualizing Application Performance

via LinkedIn Learning

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Overview

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Get a thorough explanation of Grafana with practical hands-on directions, a detailed breakdown of core concepts, and a focus on using Prometheus and Grafana together.

Syllabus

Introduction
  • Introduction to Prometheus and Grafana
1. Getting Started with Prometheus and Grafana
  • Introduction to observability
  • Introduction to dashboarding
  • Grafana overview and features
  • Prometheus overview
  • Grafana user interface overview
3. Building Blocks for Mastering Grafana
  • Grafana data sources
  • Grafana dashboards
  • Grafana panels
  • Grafana queries
  • Grafana variables
  • Grafana transformations
  • Grafana annotations
  • Grafana plugins
4. Grafana Panels
  • Panel options
  • Panel overrides
  • The graph panel
  • The stats panel
  • The gauge panel
  • The heatmap panel
5. How to Design Practical Dashboards
  • Sample application
  • Structure and layout
  • Accessibility and presentation
  • Choosing the right panels
  • Naming and context
6. Alerts
  • Grafana Alerts introduction
  • Grafana Alerts states
  • Grafana Alert rules
  • Lab: Creating a simple alert
7. Generative AI and LLMs
  • Introduction to generative AI
  • How AI can help solve challenges in Grafana
  • Grafana and LLMs: Current features
  • The role of context awareness: RAG and MCPs
  • Lab 1: An LLM assistant for troubleshooting
  • Lab 2: Upgrading the assistant with MCP
8. Scaling Grafana Infrastructure with Terraform
  • Introduction to IaC
  • Grafana with Terraform overview
  • Installing and configure the Grafana provider
  • Defining a dashboard with Terraform
9. Grafana Administration
  • The configuration files
  • User and organization management
  • Plugin management
Conclusion
  • Next steps

Taught by

Laura Stone

Reviews

4.6 rating at LinkedIn Learning based on 33 ratings

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