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Duration 21 hours
Course Outline
Introduction to Grafana and Prometheus
- Architectural overview and common use cases
- Installation and configuration of Prometheus and Grafana
- Overview of exporters and the Prometheus query language (PromQL)
Data Source Integration
- Linking Prometheus to Grafana
- Integration with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki
- Leveraging JSON, CSV, and external API plugins
Managing Dashboards
- Creation and importation of dashboards
- Utilizing panels for graphs, tables, heatmaps, and statistical visualizations
- Building reusable templates using variables and filters
Advanced Querying and Data Transformation
- Formulating and optimizing PromQL queries
- Applying transformations, mathematical operations, aliases, and derived fields
- Synthesizing multiple data sources into unified views
Alerting and Notifications
- Defining alert rules and thresholds
- Configuring Alertmanager and setting up receivers (e.g., email, Slack, webhooks)
- Managing alert silences and grouping strategies
Performance and Scaling Strategies
- Optimizing dashboard performance and cache utilization
- Scaling Prometheus through federation and long-term storage solutions
- Adopting best practices for data retention and disk management
Access Control and Collaboration
- Establishing users, roles, and teams
- Setting 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 interfaces
- Knowledge of time-series data concepts and fundamental networking
Target Audience
- System and network administrators
- DevOps and site reliability engineers
- Monitoring and observability teams
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment