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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
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment