Training > Cloud & Containers > LFS241 + PCA
BERJAYA BERJAYA BUNDLE

Monitoring Systems and Services with Prometheus (LFS241) + Prometheus Certified Associate (PCA) Exam Bundle

The Prometheus Certified Associate (PCA) exam demonstrates an engineers foundational knowledge of observability and skills using Prometheus, the open source systems monitoring and alerting toolkit.

Learn 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 with Monitoring Systems and Services with Prometheus (LFS241).

Purchase the course + PCA for $299 OR get a subscription with unlimited access to all e-learning courses and SkillCreds for $495!

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Who Is It For

The LFS241 course is 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. The PCA is a pre-professional certification designed for an engineer or application developer with special interests in observability and monitoring.
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What You’ll Learn

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.
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What It Demonstrates

The PCA demonstrates a candidate's understanding of best practices for monitoring cloud native applications and infrastructure using Prometheus.
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Course Outline
BERJAYA Chapter 1. Course Introduction
BERJAYA Chapter 2. Introduction to Observability
BERJAYA Chapter 3. Introduction to Prometheus
BERJAYA Chapter 4. Installing and Setting Up Prometheus
BERJAYA Chapter 5. Basic Querying
BERJAYA Chapter 6. Dashboarding
BERJAYA Chapter 7. Monitoring Host Metrics
BERJAYA Chapter 8. Monitoring Container Metrics
BERJAYA Chapter 9. Instrumenting Code
BERJAYA Chapter 10. Building Exporters
BERJAYA Chapter 11. Advanced Querying
BERJAYA Chapter 12. Relabeling
BERJAYA Chapter 13. Service Discovery
BERJAYA Chapter 14. Blackbox Monitoring
BERJAYA Chapter 15. Pushing Data
BERJAYA Chapter 16. Alerting
BERJAYA Chapter 17. Making Prometheus Highly Available
BERJAYA Chapter 18. Recording Rules
BERJAYA Chapter 19. Scaling Prometheus Deployments
BERJAYA Chapter 20. Local Storage
BERJAYA Chapter 21. Remote Storage Integrations
BERJAYA Chapter 22. Transitioning From and Integration with Other Monitoring Systems
BERJAYA Chapter 23. Monitoring and Debugging Prometheus
BERJAYA Chapter 24. Prometheus and Kubernetes

Exam Domains & Competencies
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BERJAYA Observability Concepts18%
Metrics
Understand logs and events
Tracing and Spans
Push vs Pull
Service Discovery
Basics of SLOs, SLAs, and SLIs
BERJAYA Prometheus Fundamentals20%
System Architecture
Configuration and Scraping
Understanding Prometheus Limitations
Data Model and Labels
Exposition Format
BERJAYA PromQL28%
Selecting Data
Rates and Derivatives
Aggregating over time
Aggregating over dimensions
Binary operators
Histograms
Timestamp Metrics
BERJAYA Instrumentation and Exporters16%
Client Libraries
Instrumentation
Exporters
Structuring and naming metrics
BERJAYA Alerting & Dashboarding18%
Dashboarding basics
Configuring Alerting rules
Understand and Use Alertmanager
Alerting basics (when, what, and why)

Lab Info
To successfully complete the lab exercises in LFS241, 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.
Prerequisites
Before starting LFS241, you should be familiar with:

  • 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

There are no pre-requisites for the PCA exam.