EKS Fargate Course
β³ Time to Complete: Approx. 15-20 hours
π Prerequisite: Basic Kubernetes and AWS Knowledge
ποΈ Type: Primarily Text-based with Interactive Exercises
Welcome to the EKS Fargate Course!
This course is your guide to Amazon Elastic Kubernetes Service (EKS) with AWS Fargate, a serverless compute engine. Whether youβre new to Kubernetes or exploring advanced AWS services, this course is tailored to help you master EKS Fargate and its unique capabilities.
Throughout the course, weβll focus on deploying Kubernetes workloads on Fargate, leveraging its serverless nature to simplify infrastructure management.
You'll learn how to configure Fargate profiles, manage applications, and explore best practices for scalability, security, and cost optimization while running real-world scenarios in a cloud-native environment.
EKS Fargate uses Pay per pod resource usage billing method, which means you only have to pay for the CPU and memory you use.
Fargate charges $0.0125 for 1 CPU and $0.0014 for 1 GB Memory per hour.
For example, if you are using a total of 8 CPU and 16 GB of Memory, then your cost per hour would be $0.12.
Similar serverless Kubernetes options exist in other clouds, like Azure Virtual Nodes (ACI) and GKE Autopilot in Google Cloud, offering pay-per-use models for running containers without managing infrastructure.
By the end of this course, you'll have practical knowledge and confidence to deploy, manage, and optimize Kubernetes workloads on AWS Fargate.
Letβs get started and unlock the potential of serverless EKS Cluster!