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 Duration 14 hours

Course Outline

Overview of Large-Scale Monitoring

  • Addressing the specific challenges of monitoring in high-traffic contexts
  • Strategies for expanding Prometheus and Grafana capabilities
  • Key architectural factors for distributed systems

Expanding Prometheus Capabilities

  • Establishing Prometheus within a sharded framework
  • Utilizing Prometheus federation for extensive system coverage
  • Applying storage optimization techniques in Prometheus

Refining Grafana for Extensive Environments

  • Adjusting Grafana settings to process massive data sets
  • Boosting dashboard speed and reduction of load times
  • Recommended practices for managing complex visualizations

Distributed Monitoring Strategies with Prometheus and Grafana

  • Connecting Prometheus with distributed tracing applications
  • Observing microservices within Kubernetes ecosystems
  • Deploying advanced alerting and communication protocols

Ensuring High Availability

  • Configuring redundant instances of Prometheus and Grafana
  • Defining failover mechanisms for monitoring infrastructure
  • Maintaining data integrity and system reliability

Problem Solving and Diagnostic Techniques

  • Locating and eliminating performance constraints
  • Troubleshooting PromQL queries and dashboard setup
  • Recognizing common errors in large-scale monitoring deployments

Sophisticated Integrations

  • Linking Prometheus and Grafana with external database systems
  • Utilizing Grafana add-ons to extend capabilities
  • Incorporating third-party utilities for broader monitoring scope

Recap and Future Directions

Requirements

  • Solid grasp of fundamental Prometheus and Grafana concepts
  • Practical experience in Linux system operations
  • Awareness of distributed system design patterns

Intended Participants

  • DevOps professionals
  • Site Reliability Engineers (SREs)

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