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Course Outline

Introduction to Custom Metrics

  • Exploring metric types and their practical applications
  • Surveying Prometheus instrumentation libraries
  • Highlighting the advantages of exporting custom metrics

Configuring Prometheus for Custom Metrics

  • Setting up Prometheus to scrape custom metric endpoints
  • Reviewing Prometheus exposition formats
  • Composing PromQL queries for custom metric analysis

Application Instrumentation

  • Implementing instrumentation in Python, Java, and Node.js applications
  • Leveraging Prometheus client libraries effectively
  • Addressing common instrumentation hurdles

Building Dashboards for Custom Metrics

  • Architecting Grafana dashboards for specific use cases
  • Fine-tuning visualization panels for clarity
  • Establishing real-time monitoring and alerting mechanisms

Embedding Monitoring in CI/CD Pipelines

  • Integrating custom metrics into build and deployment workflows
  • Automating alerts for CI/CD pipeline failures
  • Guaranteeing metric continuity 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 environments

Advanced Visualization Methods

  • Utilizing Grafana plugins for richer visual insights
  • Connecting Grafana with external data sources
  • Developing interactive dashboards for stakeholder engagement

Recap and Future Directions

Requirements

  • Foundational understanding of Prometheus and Grafana.
  • Working familiarity with application development and API interactions.

Target Audience

  • Software Developers.
  • DevOps Engineers.
 14 Hours

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