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 Duration 14 hours

Course Outline

Introduction to Custom Metrics

  • Exploring metrics types and their practical use cases
  • Overview of available Prometheus instrumentation libraries
  • Key advantages of exporting custom metrics

Configuring Prometheus for Custom Metrics

  • Setting up Prometheus to scrape custom metrics
  • Investigating Prometheus exposition formats
  • Crafting PromQL queries tailored for custom metrics

Application Instrumentation

  • Adding instrumentation to Python, Java, and Node.js applications
  • Utilizing Prometheus client libraries effectively
  • Addressing common challenges encountered during instrumentation

Building Dashboards for Custom Metrics

  • Designing Grafana dashboards targeted at specific use cases
  • Customizing visualization panels for clarity
  • Establishing real-time monitoring and alerting mechanisms

Integrating Monitoring into CI/CD Pipelines

  • Embedding custom metrics into build and deployment workflows
  • Automating alerts for CI/CD pipeline failures
  • Guaranteeing metric availability during application updates

Troubleshooting and Optimization

  • Diagnosing and resolving instrumentation issues
  • Enhancing the performance of Prometheus and Grafana
  • Scaling monitoring solutions for high-load applications

Advanced Visualization Strategies

  • Leveraging Grafana plugins for enhanced visualizations
  • Connecting Grafana with external data sources
  • Creating interactive dashboards for stakeholders

Summary and Path Forward

Requirements

  • Fundamental understanding of Prometheus and Grafana
  • Familiarity with application development processes and APIs

Intended Audience

  • Developers
  • DevOps Engineers

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