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Course Outline
Introduction to Grafana and Prometheus
- Architecture overview and use cases.
- Installing and configuring Prometheus and Grafana.
- Overview of exporters and the Prometheus query language (PromQL).
Data Source Integration
- Connecting Prometheus to Grafana.
- Integrating with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki.
- Using JSON, CSV, and external API plugins.
Working with Dashboards
- Creating and importing dashboards.
- Using panels: graphs, tables, heatmaps, and stat visualizations.
- Creating reusable templates with variables and filters.
Advanced Querying and Data Transformation
- Writing and optimizing PromQL queries.
- Using transformations, math, aliases, and derived fields.
- Combining multiple data sources into a single view.
Alerting and Notifications
- Configuring alert rules and thresholds.
- Using Alertmanager and setting alert receivers (email, Slack, webhook, etc.).
- Managing alert silences and grouping.
Performance and Scaling Considerations
- Optimizing dashboard performance and caching.
- Scaling Prometheus with federation and long-term storage.
- Best practices for data retention and disk usage.
Access Control and Collaboration
- Setting up users, roles, and teams.
- Configuring permissions and secure sharing.
- Version control and dashboard provisioning.
Summary and Next Steps
Requirements
- Experience with system monitoring or DevOps tools.
- Familiarity with Linux environments and command-line usage.
- Understanding of time-series data and basic networking.
Audience
- System and network administrators.
- DevOps and site reliability engineers.
- Monitoring and observability teams.
21 Hours
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment
