Course Outline

Introduction to Custom Metrics

  • Understanding metrics types and use cases
  • Overview of Prometheus instrumentation libraries
  • Benefits of exporting custom metrics

Setting Up Prometheus for Custom Metrics

  • Configuring Prometheus to scrape custom metrics
  • Exploring Prometheus exposition formats
  • Writing PromQL queries for custom metrics

Instrumenting Applications

  • Adding instrumentation to Python, Java, and Node.js applications
  • Using Prometheus client libraries
  • Handling common challenges in instrumentation

Creating Dashboards for Custom Metrics

  • Designing Grafana dashboards for specific use cases
  • Customizing visualization panels
  • Setting up real-time monitoring and alerts

Integrating Monitoring into CI/CD Pipelines

  • Incorporating custom metrics into build and deployment processes
  • Automating alerts for CI/CD failures
  • Ensuring metric availability during application updates

Troubleshooting and Optimization

  • Debugging instrumentation issues
  • Optimizing Prometheus and Grafana performance
  • Scaling monitoring for high-load applications

Advanced Visualization Techniques

  • Using Grafana plugins for enhanced visualizations
  • Integrating Grafana with external data sources
  • Creating interactive dashboards for stakeholders

Summary and Next Steps

Requirements

  • Basic knowledge of Prometheus and Grafana
  • Familiarity with application development and APIs

Audience

  • Developers
  • DevOps engineers
 14 Hours

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