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Course Outline

Introduction to Large-Scale Monitoring

  • Challenges associated with monitoring in high-traffic environments.
  • Scaling strategies for Prometheus and Grafana.
  • Architectural considerations for distributed systems.

Scaling Prometheus

  • Setting up Prometheus in a sharded environment.
  • Utilizing Prometheus federation for large-scale systems.
  • Implementing storage optimizations for Prometheus.

Optimizing Grafana for Large Environments

  • Configuring Grafana to handle large datasets.
  • Enhancing dashboard performance and reducing load times.
  • Best practices for creating complex visualizations.

Distributed Monitoring with Prometheus and Grafana

  • Integrating Prometheus with distributed tracing tools.
  • Monitoring microservices within Kubernetes environments.
  • Advanced alerting and notification strategies.

Managing High Availability

  • Establishing redundant instances for Prometheus and Grafana.
  • Defining failover strategies for monitoring systems.
  • Ensuring data consistency and reliability.

Troubleshooting and Debugging

  • Identifying and resolving performance bottlenecks.
  • Debugging PromQL queries and dashboard configurations.
  • Common pitfalls in large-scale monitoring.

Advanced Integrations

  • Integrating Prometheus and Grafana with external databases.
  • Leveraging Grafana plugins for enhanced functionality.
  • Utilizing third-party tools for extended monitoring capabilities.

Summary and Next Steps

Requirements

  • A solid grasp of the fundamental concepts of Prometheus and Grafana.
  • Practical experience with Linux system administration.
  • Familiarity with distributed system architectures.

Target Audience

  • DevOps engineers.
  • Site Reliability Engineers (SREs).
 14 Hours

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