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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
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment