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 Duration 21 hours

Course Outline

Introduction to Grafana and Prometheus

  • Architecture overview and typical use cases
  • Installation and configuration of Prometheus and Grafana
  • Overview of exporters and the Prometheus query language (PromQL)

Data Source Integration

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

Working with Dashboards

  • Creation and import of dashboards
  • Utilizing panels: 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
  • Unifying multiple data sources into a single view

Alerting and Notifications

  • Configuration of alert rules and thresholds
  • Utilizing Alertmanager and setting up alert receivers (email, Slack, webhook, etc.)
  • Managing alert silences and grouping

Performance and Scaling Considerations

  • Optimization of dashboard performance and caching
  • Scaling Prometheus using federation and long-term storage
  • Best practices for data retention and disk usage

Access Control and Collaboration

  • Setup of users, roles, and teams
  • Configuration of permissions and secure sharing
  • Version control and dashboard provisioning

Summary and Next Steps

Requirements

  • Practical experience with system monitoring or DevOps tools
  • Proficiency with Linux environments and command-line operations
  • A solid understanding of time-series data and fundamental networking

Target Audience

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

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