Monitoring Systems and Services with Prometheus (LFS241)

Course code: LFS241

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

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.

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 dates

Starting date: Upon request

Type: Self-paced

Course duration: 365 days

Language: en

Price without VAT: 285 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request Self-paced 365 days en 285 EUR Register
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Target group

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.

Course structure

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

Prerequisites

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.

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