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Course Introduction

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DifficultyBeginner
Duration1h
Students73

Description

The Introduction to AWS EKS course is designed to aid and equip those, with a basic understanding of web-based software development, to know how to quickly launch a new EKS Kubernetes cluster and deploy, manage and measure its attributes.

In this course, you will learn how to utilize a range of news kills from, understanding how EKS implements and deploys clusters into a VPC and leverages ELBs to expose Kubernetes services, to gaining the ability to use, control, manage and measure an EKS Kubernetes cluster deployed application.

This course is made up of 4 in-depth demonstrations that, at the end of the course, will enable you to deploy an end-to-end microservices web-based application into an EKS Kubernetes cluster.

Learning Objectives

  • Understand the basic principles involved with launching an EKS Kubernetes cluster.
  • Analyze how to set up the required EKS client-side tooling required to launch and administer an EKS Kubernetes cluster.
  • Learn how to use the eksctl tool to create, query, and delete an EKS Kubernetes cluster.
  • Follow basic kubectl commands to create, query, and delete Kubernetes Pods and Services.
  • Explain how EKS implements and deploys cluster into a VPC and leverages ELBs to expose Kubernetes services.
  • Learn how to author and structure K8s definition files using YAML.
  • Gain experience in how to deploy an end-to-end microservices based web application into an EKS Kubernetes cluster.
  • Be able to use, control, manage and measure an EKS Kubernetes cluster deployed application.

Prerequisites

  • High-level understanding of web-based software development.
  • Knowledge of Docker and Containers.
  • Prior experience in microservice architectures.

Intended Audience

  • Software Developers.
  • Container and Microservices Administrators and Developers.
  • Cloud System Administrators and/or Operations.

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About the Author

Students3610
Courses35
Learning paths7

Jeremy is a Cloud Researcher and Trainer at Cloud Academy where he specializes in developing technical training documentation for security, AI, and machine learning for both AWS and GCP cloud platforms.

He has a strong background in development and coding, and has been hacking with various languages, frameworks, and systems for the past 20+ years.

In recent times, Jeremy has been focused on Cloud, Security, AI, Machine Learning, DevOps, Infrastructure as Code, and CICD.

Jeremy holds professional certifications for both AWS and GCP platforms.

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