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 Duration 21 hours

Course Outline

Introduction to Grafana and Prometheus

  • Architectural overview and key use cases
  • Installation and configuration of Prometheus and Grafana
  • Exploring exporters and the Prometheus query language (PromQL)

Data Source Integration

  • Establishing connections between Prometheus and Grafana
  • Integrations with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki
  • Utilising JSON, CSV, and external API plugins

Dashboard Management

  • Creating and importing dashboards
  • Utilising panels: graphs, tables, heatmaps, and statistical visualizations
  • Developing reusable templates with variables and filters

Advanced Querying and Data Transformation

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

Alerting and Notifications

  • Defining alert rules and thresholds
  • Configuring Alertmanager and setting up receivers (email, Slack, webhooks, etc.)
  • Managing alert silences and grouping strategies

Performance and Scalability

  • Enhancing dashboard performance and caching strategies
  • Scaling Prometheus using federation and long-term storage solutions
  • 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 Future Directions

Requirements

  • Practical experience with system monitoring or DevOps tools
  • Familiarity with Linux environments and command-line operations
  • Comprehension of time-series data and fundamental networking concepts

Target Audience

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

Testimonials (2)

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