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Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257) Course Overview

Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257) Course Overview

By the end of this course, you will be equipped with the knowledge and practical skills to implement and manage efficient, responsive autoscaling solutions using Kubernetes and KEDA.

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Course Prerequisites

To successfully undertake the Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257) course, we recommend that students have the following minimum prerequisites:


  • Basic understanding of containerization concepts and Docker.
  • Familiarity with Kubernetes and its architecture, including Pods, Deployments, and Services.
  • Basic knowledge of YAML syntax as it is used for Kubernetes configurations.
  • Experience with the command line and basic shell commands.
  • Understanding of event-driven architectures and how they function.

These prerequisites will help you grasp the concepts more effectively and ensure a smoother learning experience as you dive into the intricacies of Kubernetes Event-Driven Autoscaling with KEDA.


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Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257)

Target Audience for Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257)

Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257) equips IT professionals with advanced skills to implement and manage autoscaling in cloud-native applications effectively.


  • DevOps Engineers
  • Site Reliability Engineers (SREs)
  • Cloud Architects
  • Software Developers
  • Kubernetes Administrators
  • Systems Administrators
  • Technical Project Managers
  • IT Operations Professionals
  • Backend Developers
  • Data Engineers
  • Solutions Architects
  • QA Engineers
  • Cloud Consultants


Learning Objectives - What you will Learn in this Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257)?

Introduction

The Mastering Kubernetes Event-Driven Autoscaling with KEDA (LFS257) course equips students with critical skills to manage and scale Kubernetes applications dynamically, focusing on event-driven architectures and the KEDA framework.

Learning Objectives and Outcomes

  • Understand the fundamentals of Kubernetes and its architecture.
  • Gain insights into the concept of event-driven architectures in cloud environments.
  • Learn about the KEDA framework and its role in Kubernetes autoscaling.
  • Implement KEDA to scale applications based on external events.
  • Explore various scalers provided by KEDA for different event sources.
  • Configure and optimize KEDA autoscaling for performance and efficiency.
  • Monitor and troubleshoot KEDA operations within Kubernetes clusters.
  • Examine best practices for integrating KEDA with CI/CD pipelines.
  • Develop hands-on skills through practical lab sessions and real-world use cases.
  • Prepare for advanced topics related to cloud-native applications and microservices.

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