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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
  • Introduction to exporters and the Prometheus query language (PromQL)

Data Source Integration

  • Linking Prometheus to Grafana
  • Integrating with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki
  • Leveraging JSON, CSV, and external API plugins

Dashboard Development

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

Advanced Querying and Data Transformation

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

Alerting and Notification Systems

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

Performance and Scalability

  • Enhancing dashboard performance and caching strategies
  • Scaling Prometheus through federation and long-term storage solutions
  • Best practices for data retention and disk utilization

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 with Linux environments and command-line interfaces
  • Foundational understanding of time-series data and networking concepts

Target Audience

  • System and network administrators
  • DevOps and site reliability engineers
  • Members of monitoring and observability teams

Testimonials (2)

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