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Course Outline
1. Introduction to Grafana
- What is Grafana and what is it used for
- User interface and application layout
- Component structure: backend, frontend, plugins, provisioning
- Installation and environment configuration methods (locally and in the cloud)
- Comparison of OSS and Enterprise versions
2. Data Sources – Integration with Systems and Databases
- Metric systems (Prometheus, InfluxDB)
- Relational databases – business and operational data (PostgreSQL)
- Document and log analysis systems (Elasticsearch, Grafana Loki)
- Infrastructure monitoring – metric data (Zabbix)
- API – retrieving data from HTTP endpoints, JSON (Infinity Plugin)
- Testing connections and practical queries in the “Explore” panel
3. Creating Dashboards – Presentation and Organization of Data
- Creating queries for various data sources
- Visualization types and selecting panels based on data type
- Selecting panels based on data type (metrics, statuses, aggregates)
- Organizing panels and sections on a dashboard
- Folders, playlists, tags, links
- Importing and exporting dashboards
4. Data Transformations – Converting and Combining Information
- Data operations: filtering, grouping, aggregations
- Merging data from different sources (merge, join)
- Transformations and calculations in panels (add field, reduce, rename)
5. Visualizations – Graphical Forms of Data Presentation
- Time series
- Stat
- Bar chart
- Gauge
- Bar gauge
- Table
- State timeline
- Heatmap
- Pie chart
- Text
- GeoMap
6. Variables – Dynamic Dashboards and Expressions
- Creating and configuring variables
- Variable types: custom, query, interval, text box, data source
- Using variables in the configuration of expressions and panels
- Creating interactive dashboards for users
7. Grafana Plugins – Extending Capabilities
- Plugin types: Data Source, Panel, App
- Installing and configuring plugins from the Grafana Marketplace
- Discussion and application of selected plugins in dashboards
8. Grafana Alerting – Monitoring and Notifications
- Unified Alerting working model
- Creating alert rules
- Notification Policies – notification sending rules
- Alert silencing and management (Mute & Silence)
- Analysis and review of various alert scenarios
9. Prometheus – Metrics, PromQL
- Prometheus architecture
- Data model and metrics
- PromQL – basic queries
- Recording rules and alerting rules
- Metric visualization in Grafana
10. Recording Rules in Grafana
- Working model of recording rules in Grafana
- Differences compared to Prometheus
- Creating and using precomputed metrics
- Integration with dashboards
11. Administration and Environment Management
- Organizations, users, teams, roles, and permissions
- Login method handling (Basic auth, LDAP, SSO)
- Provisioning – automating the configuration of data sources, dashboards, and alerts
- Troubleshooting diagnosis and common scenarios
Requirements
Target audience – training participants:
- IT Specialists
- DevOps Engineers
- Infrastructure Administrators
- Developers
Requirements
- Training participants should have their own computer with any operating system. The software needed to complete the training will be available in the public cloud.
- Access to Grafana will be provided via any web browser, such as Firefox or Chrome, installed on the participant's computer.
14 Hours
Testimonials (1)
workshops, practical examples
