Express Learning Course

Scaling Cloud Native Applications with KEDA (LFEL1014)

Learn how to implement KEDA to develop scalable, efficient, and responsive applications in a cloud native ecosystem.

Who Is It For

This course is for developers, DevOps professionals, and anyone interested in Kubernetes and event-driven autoscaling.
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What You’ll Learn

The course covers autoscaling in Kubernetes with a focus on KEDA, teaching its architecture, operation, and the use of scalers. You’ll also learn how to deploy and manage KEDA.
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What It Prepares You For

You’ll gain the skills needed to design and deploy applications that can dynamically scale based on actual demand, ensuring optimal resource utilization and performance.
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Course Outline
Chapter 1. Course Introduction
Chapter 2. Introduction to KEDA
Chapter 3. Getting Started with KEDA
Chapter 4. Understanding Scalers

Prerequisites
You should be familiar with basic Kubernetes workloads, such as deployments and Horizontal Pod Autoscalers (HPA). Some command line interface experience is also recommended.

For the lab exercises, you’ll need a single Ubuntu 20.04 virtual machine. You can set up your own VM using any of the popular cloud service providers. A script that facilitates the creation of Kubernetes clusters is provided as part of the course materials.

Reviews
Jul 2024
Excellent introductory course on the tool. The way it covers CRDs and the tool's functionalities is very interesting.
May 2024
The course material is good - good balance between visuals, hands-on section and reading material.
May 2024
This course is a good start to become familiar with KEDA, and has a small lab section that helps to start building hands-on experience.
May 2024
The lab section is definitely needed and the best part of the training, it gives me the opportunity to apply what I learned in practice right away.
Apr 2024
Was nice as a Keda starter to learn the basics.
Apr 2024
I liked that this course remained focused on core concepts and was hands on.
Apr 2024
The content explained is very objective and very clear.