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Course Outline

Introduction to Grafana and Prometheus

  • Architecture overview and applicable 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
  • Utilizing JSON, CSV, and external API plugins

Working with Dashboards

  • Creating and importing dashboards
  • Utilizing panels such as graphs, tables, heatmaps, and stat visualizations
  • Building reusable templates using variables and filters

Advanced Querying and Data Transformation

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

Alerting and Notifications

  • Configuring alert rules and thresholds
  • Deploying Alertmanager and configuring alert receivers (e.g., email, Slack, webhooks)
  • Managing alert silencing and grouping

Performance and Scaling Considerations

  • Optimizing dashboard performance and caching mechanisms
  • Scaling Prometheus through federation and long-term storage solutions
  • Adhering to best practices for data retention and disk usage management

Access Control and Collaboration

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

Summary and Next Steps

Requirements

  • Practical experience with system monitoring or DevOps tools
  • Proficiency in Linux environments and command-line operations
  • Understanding of time-series data fundamentals and basic networking concepts

Target Audience

  • System and network administrators
  • DevOps and Site Reliability Engineers (SREs)
  • Monitoring and observability teams
 21 Hours

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