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Course Outline
Overview of Large-Scale Monitoring
- Challenges associated with monitoring high-traffic systems
- Strategies for scaling Prometheus and Grafana
- Architectural factors in distributed systems
Scaling Prometheus
- Deploying Prometheus in sharded configurations
- Utilizing Prometheus federation for expansive systems
- Applying storage optimization techniques to Prometheus
Enhancing Grafana for Large Environments
- Tuning Grafana to process extensive data volumes
- Reducing dashboard load times and improving performance
- Best practices for creating complex visualizations
Distributed Monitoring via Prometheus and Grafana
- Connecting Prometheus with distributed tracing solutions
- Observing microservices within Kubernetes clusters
- Developing sophisticated alerting and notification workflows
Ensuring High Availability
- Configuring redundant instances of Prometheus and Grafana
- Implementing failover mechanisms for monitoring stacks
- Maintaining data consistency and reliability
Debugging and Troubleshooting
- Pinpointing and eliminating performance bottlenecks
- Debugging PromQL queries and dashboard settings
- Avoiding common issues in large-scale monitoring
Advanced Integrations
- Linking Prometheus and Grafana with external data sources
- Extending Grafana capabilities through plugins
- Utilizing third-party tools to broaden monitoring scope
Wrap-Up and Future Directions
Requirements
- Solid grasp of core Prometheus and Grafana concepts
- Proficiency in Linux system administration
- Knowledge of distributed system architecture
Intended Audience
- DevOps professionals
- Site Reliability Engineers (SREs)
14 Hours
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment