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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
Testimonials (1)
Real world knowledge from someone in the industry