Training > Cloud & Containers > Monitoring Systems and Services with Prometheus (LFS241)
Training Course

Monitoring Systems and Services with Prometheus (LFS241)

Learn how to monitor your systems and services effectively with Prometheus.

Who Is It For

This course is designed for technology professionals who have basic experience with Linux/Unix system administration, as well as some development experience in Go and/or Python.
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What You’ll Learn

This course leads new Prometheus users through many of its major features, best practices, and use cases. It covers aspects including setting up and using Prometheus,
monitoring components and services, querying, alerting, using Prometheus with Kubernetes and more.
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What It Prepares You For

This course will prepare you to use Prometheus to gain better insight into your systems and services and define more precise and meaningful alerts.
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Course Outline
Chapter 1. Course Introduction
Chapter 2. Introduction to Systems and Service Monitoring
Chapter 3. Introduction to Prometheus
Chapter 4. Installing and Setting Up Prometheus
Chapter 5. Basic Querying
Chapter 6. Dashboarding
Chapter 7. Monitoring Host Metrics
Chapter 8. Monitoring Container Metrics
Chapter 9. Instrumenting Code
Chapter 10. Building Exporters
Chapter 11. Advanced Querying
Chapter 12. Relabeling
Chapter 13. Service Discovery
Chapter 14. Blackbox Monitoring
Chapter 15. Pushing Data
Chapter 16. Alerting
Chapter 17. Making Prometheus Highly Available
Chapter 18. Recording Rules
Chapter 19. Scaling Prometheus Deployments
Chapter 20. Prometheus and Kubernetes
Chapter 21. Local Storage
Chapter 22. Remote Storage Integrations
Chapter 23. Transitioning From and Integrating with Other Monitoring Systems
Chapter 24. Monitoring and Debugging Prometheus

Learning Path
To get the most out of this course, you should have:

  • Basic experience with Linux/Unix system administration
  • Familiarity with common shell commands, such as ls, cd, curl, etc.
  • Some knowledge and/or development experience in Go and Python
  • Some experience working with Kubernetes.

To successfully complete the lab exercises in this course, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Detailed instructions to set up your lab environment are provided in the course.

If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider, or if the cloud provider’s terms and conditions change.