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Course Outline
Introduction to Large-Scale Monitoring
- Challenges of monitoring in high-traffic environments.
- Scaling strategies for Prometheus and Grafana.
- Architectural considerations for distributed systems.
Scaling Prometheus
- Setting up Prometheus in a sharded environment.
- Using Prometheus federation for large-scale systems.
- Implementing storage optimizations for Prometheus.
Optimizing Grafana for Large Environments
- Configuring Grafana to handle large datasets.
- Improving dashboard performance and loading times.
- Best practices for complex visualizations.
Distributed Monitoring with Prometheus and Grafana
- Integrating Prometheus with distributed tracing tools.
- Monitoring microservices in 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 for enhanced functionality.
- Leveraging third-party tools for extended monitoring.
Summary and Next Steps
Requirements
- Solid understanding of Prometheus and Grafana fundamentals.
- Experience with Linux system administration.
- Familiarity with distributed system architectures.
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
