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 Duration 21 hours

Course Outline

Introduction to Grafana and Prometheus

  • Overview of architecture and key use cases
  • Installation and configuration of Prometheus and Grafana
  • Introduction to exporters and the Prometheus query language (PromQL)

Data Source Integration

  • Establishing the connection between Prometheus and Grafana
  • Integration with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki
  • Leveraging JSON, CSV, and external API plugins

Working with Dashboards

  • Creating and importing dashboard layouts
  • Utilising panels for graphs, tables, heatmaps, and stat visualisations
  • Developing reusable templates using variables and filters

Advanced Querying and Data Transformation

  • Formulating and optimising PromQL queries
  • Applying transformations, mathematical operations, aliases, and derived fields
  • Synthesising multiple data sources into a unified view

Alerting and Notifications

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

Performance and Scaling Considerations

  • Enhancing dashboard performance and implementing caching
  • Scaling Prometheus through federation and long-term storage solutions
  • Adopting best practices for data retention and disk usage management

Access Control and Collaboration

  • Establishing users, roles, and team structures
  • 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
  • Conceptual understanding of time-series data and fundamental networking principles

Target Audience

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

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