Course Code: cmiprometheusgrafana
Duration: 14 hours
Prerequisites:
  • Basic knowledge of Prometheus and Grafana
  • Familiarity with application development and APIs

Audience

  • Developers
  • DevOps engineers
Overview:

Exporting custom metrics from applications enables precise monitoring and visualization of application-specific performance data. This course introduces participants to the techniques of instrumenting applications for Prometheus and creating customized visualizations in Grafana.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

By the end of this training, participants will be able to:

  • Understand the importance of custom metrics for application monitoring.
  • Instrument applications to export custom metrics for Prometheus.
  • Create and configure dashboards in Grafana to visualize custom metrics.
  • Apply best practices for integrating monitoring into the development lifecycle.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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

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