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 Duration 21 hours

Course Outline

Introduction to Grafana and Prometheus

  • Architecture overview and key use cases
  • Installation and configuration of Prometheus and Grafana
  • Overview of exporters and the Prometheus Query Language (PromQL)

Data Source Integration

  • Connecting Prometheus to Grafana
  • Integrating with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki
  • Leveraging JSON, CSV, and external API plugins

Working with Dashboards

  • Creating and importing dashboards
  • Utilizing various panels: graphs, tables, heatmaps, and stat visualizations
  • Building reusable templates with variables and filters

Advanced Querying and Data Transformation

  • Writing and optimizing PromQL queries
  • Applying transformations, mathematical operations, aliases, and derived fields
  • Aggregating multiple data sources into a unified view

Alerting and Notifications

  • Configuring alert rules and thresholds
  • Using Alertmanager to set up alert receivers (email, Slack, webhook, etc.)
  • Managing alert silences and grouping strategies

Performance and Scaling Considerations

  • Optimizing dashboard performance and caching strategies
  • Scaling Prometheus using federation and long-term storage solutions
  • Best practices for data retention and disk management

Access Control and Collaboration

  • Establishing users, roles, and teams
  • Configuring permissions and secure sharing protocols
  • Implementing version control and dashboard provisioning

Summary and Next Steps

Requirements

  • Hands-on experience with system monitoring or DevOps toolsets
  • Proficiency in Linux environments and command-line operations
  • A solid grasp of time-series data concepts and fundamental networking

Target Audience

  • System and network administrators
  • DevOps and site reliability engineers
  • Monitoring and observability specialists

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