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Course Outline
Fundamentals of Large-Scale Monitoring
- Obstacles to monitoring in high-traffic settings
- Scaling methodologies for Prometheus and Grafana
- Architectural factors for distributed systems
Expanding Prometheus Capabilities
- Configuring Prometheus within a sharded setup
- Utilizing Prometheus federation for extensive systems
- Applying storage optimization techniques for Prometheus
Enhancing Grafana for Extensive Environments
- Adjusting Grafana settings for large data volumes
- Boosting dashboard speed and load times
- Best practices for creating complex visualizations
Distributed Monitoring via Prometheus and Grafana
- Combining Prometheus with distributed tracing utilities
- Observing microservices within Kubernetes ecosystems
- Sophisticated alerting and notification frameworks
Ensuring High Availability
- Deploying redundant Prometheus and Grafana instances
- Failover mechanisms for monitoring stacks
- Maintaining data integrity and dependability
Diagnosis and Resolution
- Detecting and fixing performance constraints
- Resolving issues in PromQL queries and dashboard setups
- Typical challenges in large-scale monitoring
Sophisticated Integrations
- Connecting Prometheus and Grafana with external data stores
- Employing Grafana plugins for expanded capabilities
- Utilizing third-party applications for broader monitoring
Recap and Subsequent Actions
Requirements
- Solid grasp of fundamental concepts in Prometheus and Grafana
- Hands-on experience with Linux system administration
- Knowledge of 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