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Course Outline

Introduction to Custom Metrics

  • Grasping different metric types and their practical use cases.
  • Surveying Prometheus instrumentation libraries.
  • Evaluating the advantages of exporting custom metrics.

Configuring Prometheus for Custom Metrics

  • Adjusting Prometheus settings to scrape custom metric data.
  • Investigating Prometheus exposition formats.
  • Crafting PromQL queries specifically for custom metrics.

Application Instrumentation

  • Implementing instrumentation in Python, Java, and Node.js applications.
  • Utilizing Prometheus client libraries effectively.
  • Addressing frequent challenges encountered during instrumentation.

Building Dashboards for Custom Metrics

  • Architecting Grafana dashboards tailored to specific use cases.
  • Customizing visualization panels for clarity and impact.
  • Establishing real-time monitoring and alerting mechanisms.

Embedding Monitoring into CI/CD Pipelines

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

Troubleshooting and Performance Optimization

  • Diagnosing and resolving instrumentation issues.
  • Tuning Prometheus and Grafana for optimal performance.
  • Scaling monitoring solutions for high-load applications.

Advanced Visualization Strategies

  • Leveraging Grafana plugins for enhanced visual capabilities.
  • Connecting Grafana with external data sources.
  • Developing interactive dashboards for stakeholder engagement.

Recap and Future Steps

Requirements

  • Foundational understanding of Prometheus and Grafana.
  • Proficiency in application development and API interactions.

Target Audience

  • Software Developers
  • DevOps Engineers
 14 Hours

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