Scaling and Optimizing Prometheus and Grafana for Large Environments

• Strong understanding of Prometheus and Grafana basics
• Experience with Linux system administration
• Familiarity with distributed system architectures

Audience

• DevOps engineers
• Site Reliability Engineers (SREs)

Prometheus and Grafana are essential tools for monitoring in large-scale IT environments. This course delves into advanced techniques for scaling and optimizing these tools to handle high-traffic and distributed systems efficiently. Participants will gain practical knowledge on architecting resilient monitoring solutions for complex infrastructures.

This instructor-led, live training (online or onsite) is aimed at advanced-level DevOps engineers and SREs who wish to manage and scale Prometheus and Grafana for large environments effectively.

By the end of this training, participants will be able to:

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Large-Scale Monitoring

• Challenges of 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
• Using Prometheus federation for large-scale systems
• Implementing Prometheus storage optimizations

Optimizing Grafana for Large Environments

• Configuring Grafana for handling large datasets
• Improving dashboard performance and loading times
• Best practices for complex visualizations

Distributed Monitoring with Prometheus and Grafana

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

Managing High Availability

• Setting up redundant Prometheus and Grafana instances
• 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
• Using Grafana plugins for enhanced functionality
• Leveraging third-party tools for extended monitoring

Summary and Next Steps