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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

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