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Duration 21 hours
Course Outline
Introduction to Grafana and Prometheus
- Overview of architecture and applicable 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.
- Integration with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki.
- Utilizing JSON, CSV, and external API plugins.
Working with Dashboards
- Creation and import of dashboards.
- Utilizing panels such as graphs, tables, heatmaps, and stat visualizations.
- Development of reusable templates using variables and filters.
Advanced Querying and Data Transformation
- Authoring and optimizing PromQL queries.
- Application of transformations, math functions, aliases, and derived fields.
- Consolidating multiple data sources into a unified view.
Alerting and Notifications
- Configuration of alert rules and thresholds.
- Use of Alertmanager and setup of alert receivers (including email, Slack, and webhooks).
- Management of alert silences and grouping.
Performance and Scaling Considerations
- Optimization of dashboard performance and caching strategies.
- Scaling Prometheus through federation and long-term storage solutions.
- Best practices regarding data retention and disk usage.
Access Control and Collaboration
- Configuration of users, roles, and teams.
- Setup of permissions and secure sharing mechanisms.
- Implementation of 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 operations.
- A solid grasp of time-series data and fundamental networking concepts.
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
