Get in Touch

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

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

Optimizing Grafana for Large Environments

  • Configuring Grafana to manage 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 of Prometheus and Grafana.
  • Developing 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 encountered in large-scale monitoring.

Advanced Integrations

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

Summary and Next Steps

Requirements

  • Solid grasp of the fundamentals of Prometheus and Grafana.
  • Prior experience in Linux system administration.
  • Familiarity with distributed system architectures.

Target Audience

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

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories