Get in Touch

Course Outline

Overview of Large-Scale Monitoring

  • Challenges associated with monitoring high-traffic systems
  • Strategies for scaling Prometheus and Grafana
  • Architectural factors in distributed systems

Scaling Prometheus

  • Deploying Prometheus in sharded configurations
  • Utilizing Prometheus federation for expansive systems
  • Applying storage optimization techniques to Prometheus

Enhancing Grafana for Large Environments

  • Tuning Grafana to process extensive data volumes
  • Reducing dashboard load times and improving performance
  • Best practices for creating complex visualizations

Distributed Monitoring via Prometheus and Grafana

  • Connecting Prometheus with distributed tracing solutions
  • Observing microservices within Kubernetes clusters
  • Developing sophisticated alerting and notification workflows

Ensuring High Availability

  • Configuring redundant instances of Prometheus and Grafana
  • Implementing failover mechanisms for monitoring stacks
  • Maintaining data consistency and reliability

Debugging and Troubleshooting

  • Pinpointing and eliminating performance bottlenecks
  • Debugging PromQL queries and dashboard settings
  • Avoiding common issues in large-scale monitoring

Advanced Integrations

  • Linking Prometheus and Grafana with external data sources
  • Extending Grafana capabilities through plugins
  • Utilizing third-party tools to broaden monitoring scope

Wrap-Up and Future Directions

Requirements

  • Solid grasp of core Prometheus and Grafana concepts
  • Proficiency in Linux system administration
  • Knowledge of distributed system architecture

Intended Audience

  • DevOps professionals
  • Site Reliability Engineers (SREs)
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories