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Course Outline
Introduction to Large-Scale Monitoring
- Challenges associated with monitoring in high-traffic environments
- Scaling strategies for Prometheus and Grafana
- Architectural considerations for distributed systems
Scaling Prometheus
- Establishing Prometheus in a sharded environment
- Utilizing Prometheus federation for large-scale systems
- Implementing storage optimizations for Prometheus
Optimizing Grafana for Large Environments
- Configuring Grafana to manage large datasets
- Enhancing dashboard performance and reducing load times
- Best practices for creating complex visualizations
Distributed Monitoring with Prometheus and Grafana
- Integrating Prometheus with distributed tracing tools
- Monitoring microservices within Kubernetes environments
- Advanced alerting and notification strategies
Managing High Availability
- Setting up redundant Prometheus and Grafana instances
- Failover strategies for monitoring systems
- Ensuring data consistency and reliability
Troubleshooting and Debugging
- Identifying and resolving performance bottlenecks
- Debugging PromQL queries and dashboard configurations
- Common pitfalls in large-scale monitoring
Advanced Integrations
- Integrating Prometheus and Grafana with external databases
- Using Grafana plugins to enhance functionality
- Leveraging third-party tools for extended monitoring capabilities
Summary and Next Steps
Requirements
- Proficient understanding of Prometheus and Grafana fundamentals
- Experience in Linux system administration
- Familiarity with distributed system architectures
Target Audience
- DevOps engineers
- 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