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