Course Outline

Introduction to Grafana

  • Overview of Grafana and its ecosystem
  • Setting up and configuring Grafana for government use
  • Connecting to data sources for government applications

Dashboard Design Fundamentals

  • Creating and customizing dashboards for government operations
  • Working with panels, variables, and filters in a government context
  • Best practices in layout and design for effective government communication

Interactive Dashboards and Drill-down Techniques

  • Using dashboard links and drill-down variables for enhanced data exploration
  • Implementing click-based filtering and contextual visual updates for government data
  • Displaying detailed views, such as pie charts, inline for comprehensive analysis

Advanced Panel Interactions

  • Passing dynamic variables between panels to support complex data relationships
  • Synchronizing graphs on user input for real-time data correlation
  • Conditional rendering of panels based on user selection for tailored insights

Dynamic Thresholds and Alerts

  • Understanding thresholds and alerts in Grafana for government monitoring
  • Configuring dynamic thresholds based on user interaction for proactive management
  • Visualizing threshold lines in real-time graphs to enhance situational awareness

Embedding Contextual Visualizations

  • Adding pie charts or secondary graphs on interaction to provide deeper insights
  • Using transformations and overrides for conditional display in government dashboards
  • Maintaining a single-page view with dynamic content for efficient data presentation

Best Practices and Use Cases

  • Designing intuitive, iterative user workflows for government users
  • Use cases for Site Reliability Engineering (SRE), DevOps, and observability in the public sector
  • Performance tips and dashboard optimization techniques for government applications

Summary and Next Steps

Requirements

  • An understanding of fundamental data visualization principles for government
  • Experience with Grafana dashboards and data sources
  • Familiarity with metrics and performance monitoring

Audience

  • DevOps engineers
  • Site reliability engineers
  • Data analysts and visualization developers
 14 Hours

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