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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
- Deploying Prometheus in a sharded environment.
- Utilizing Prometheus federation for large-scale systems.
- Implementing storage optimizations within 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
- Establishing redundant instances of Prometheus and Grafana.
- Developing 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 encountered in large-scale monitoring.
Advanced Integrations
- Connecting Prometheus and Grafana with external databases.
- Leveraging Grafana plugins to enhance functionality.
- Utilizing third-party tools for extended monitoring capabilities.
Summary and Next Steps
Requirements
- Solid grasp of the fundamentals of Prometheus and Grafana.
- Prior 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