Monitoring Systems and Services with Prometheus (LFS241) + Prometheus Certified Associate (PCA) certification exam

Course code: LFS241

Walk away knowing how to monitor real-world systems with Prometheus—track containers, catch issues early, use service discovery, and build production-grade observability into your Kubernetes stack.

285 EUR

345 EUR including VAT

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Starting date: Upon request

Type: Self-paced

Course duration: 365 days

Language: en

Price without VAT: 285 EUR

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

Prepare for real-world observability challenges—whether you’re deploying at scale, building dashboards, or setting alerts. This course, along with real-world experience and study, will provide the skills and knowledge also tested by the Prometheus Certified Associate (PCA) exam.

Target group

Built for DevOps engineers, SREs, and system admins ready to level up observability skills and get Prometheus-ready for high-impact roles in modern, cloud-native environments.

Course structure

Chapter 1. Course Introduction
Chapter 2. Introduction to Observability
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. Local Storage
Chapter 21. Remote Storage Integrations
Chapter 22. Transitioning From and Integration with Other Monitoring Systems
Chapter 23. Monitoring and Debugging Prometheus
Chapter 24. Prometheus and Kubernetes

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
Experience with running containers and building container images with Docker
Familiarity with Kubernetes concepts

Labs:

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.

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