Course Outline

Introduction to Grafana and Prometheus

  • Architecture overview and use cases
  • Installing and configuring 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
  • Using JSON, CSV, and external API plugins

Working with Dashboards

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

Advanced Querying and Data Transformation

  • Writing and optimizing PromQL queries
  • Using transformations, math, aliases, and derived fields
  • Combining multiple data sources into a single view

Alerting and Notifications

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

Performance and Scaling Considerations

  • Optimizing dashboard performance and caching
  • Scaling Prometheus with federation and long-term storage
  • Best practices for data retention and disk usage

Access Control and Collaboration

  • Setting up users, roles, and teams
  • Configuring permissions and secure sharing
  • Version control and dashboard provisioning

Summary and Next Steps

Requirements

  • Experience with system monitoring or DevOps tools
  • Familiarity with Linux environments and command-line usage
  • Understanding of time-series data and basic networking

Audience

  • System and network administrators
  • DevOps and site reliability engineers
  • Monitoring and observability teams
 21 Hours

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