Section outline

• Select section Day 1: Grafana Fundamentals & Data Visualization

  Day 1: Grafana Fundamentals & Data Visualization

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  Session 1: Introduction to Grafana (1 Hour)

  • Overview of Grafana features & setup.
  • Service file & server daemon setup.

  Session 2: Grafana Panels & Dashboards (1 Hour)

  • Creating panels & dashboards (Hands-on).

  Session 3: Data Source Configuration (1 Hours)

  • Importing/exporting dashboards (Hands-on).

  Session 4: Advanced Grafana Features (1.15 Hours)

  • Annotations, variables & dynamic visualizations.

  Session 5: Integrating Time-Series Databases (1 Hours)

  • Connecting InfluxDB & Prometheus to Grafana.

  Session 6: Dynamic Dashboards (1 Hours)

  • Using variables & filtering for real-time monitoring (Hands-on).

  Session 7: CLI Commands & Case Studies (1.15 Hours)
• Select section Day 2: Prometheus & Querying Metrics

  Day 2: Prometheus & Querying Metrics

  Session 1: Introduction to Prometheus (1 Hour)

  • Installation & basic configuration.

  Session 2: Expression Browser & Metrics (1 Hour)

  • Understanding metric formats & types (Hands-on).

  Session 3: PromQL Overview (1 Hour)

  • Querying data using PromQL.

  Session 4: PromQL Operations (1.15 Hours)

  • Functions & aggregations (Hands-on).

  Session 5: Node Exporters (1 Hour)

  • Monitoring servers & remote nodes (Hands-on).

  Session 6: Push Gateway (1 Hour)

  • Handling short-lived jobs & data ingestion.

  Session 7: Integration with Grafana (1.15 Hour)
• Select section Day 3: Advanced Monitoring & Alerting

  Day 3: Advanced Monitoring & Alerting

  Session 1: Service Discovery (1 Hour)

  • Auto-discovery of monitoring targets (Hands-on).

  Session 2: Application Monitoring (1 Hour)

  • Instrumentation & performance tracking (Hands-on).

  Session 3: Recording Rules (1.15 hours)

  • Creating precomputed time-series metrics.

  Session 4: Alert Management (1 Hour)

  • Setting up & managing alerts (Hands-on).

  Session 5: Log Monitoring & Exposition (1 Hour)

  • Using Python, Go, Ruby & Java for monitoring logs.

  Session 6: Case Studies & Final Project (1 Hour)

  • Implementing a real-world monitoring solution.

  Session 7: Q&A & Wrap-up (1.15 hours)