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Duration 14 hours
Course Outline
Overview of Large-Scale Monitoring
- Challenges associated with monitoring in high-traffic contexts
- Approaches to scaling Prometheus and Grafana
- Architectural factors for distributed systems
Expanding Prometheus Capabilities
- Implementing Prometheus in a sharded configuration
- Leveraging Prometheus federation for massive systems
- Enhancing Prometheus storage efficiency
Enhancing Grafana for Extensive Environments
- Tuning Grafana for processing significant data volumes
- Boosting dashboard speed and response times
- Best practices for intricate visual representations
Distributed Monitoring via Prometheus and Grafana
- Connecting Prometheus with distributed tracing solutions
- Monitoring microservices within Kubernetes clusters
- Sophisticated alerting and communication protocols
Ensuring High Availability
- Deploying redundant Prometheus and Grafana instances
- Strategies for failover in monitoring stacks
- Maintaining data integrity and system dependability
Diagnostics and Resolution
- Detecting and eliminating performance constraints
- Troubleshooting PromQL queries and dashboard settings
- Common errors in large-scale monitoring setups
Sophisticated Integrations
- Connecting Prometheus and Grafana to external database sources
- Utilizing Grafana plugins for extended capabilities
- Employing third-party utilities for broader observability
Recap and Future Directions
Requirements
- Profound grasp of fundamental Prometheus and Grafana concepts
- Practical experience in Linux system administration
- Familiarity with distributed system design patterns
Target Audience
- DevOps Engineers
- Site Reliability Engineers (SREs)
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment