Deploying and Managing Containerized Data Workloads on AmazonEKS

Abstract

In the age of big data and cloud computing, many organizations are moving towards containerization technologies to deploy and manage their data workloads. Amazon Elastic Kubernetes Service (EKS) has recently become a trendy option for using container applications in the cloud. This paper discusses the procedure of deploying and managing containerized data workloads on Amazon EKS. It points out the benefits of containerization in terms of portability, scalability, and consistency of the workload in different environments. The research also looks into the best practices for creating and managing data-intensive applications on EKS, such as data storage, networking, and security issues. Besides, it gives a realistic case of administering a Kafka cluster and streaming data in EKS. This paper is designed to provide important tips and advice to organizations that want to use containerization and Amazon EKS for their data workloads.