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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)

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