Setting up Milvus on Amazon EKS

This blog post provides a detailed guide on how to deploy an open-source vector database called Milvus on Amazon Elastic Kubernetes Service (EKS). The author explains the architecture of Milvus and its integration with EKS, AWS S3 for object storage, Amazon Managed Streaming for Apache Kafka (MSK) for message storage, and Amazon Elastic Load Balancing (ELB) as a load balancer. The post also covers prerequisites such as installing the AWS Command Line Interface (CLI), EKS tools like kubectl, eksctl, and helm, creating an S3 bucket with a KMS customer-managed key, and setting up an Amazon MSK instance. Next, the author guides users through creating an Amazon EKS cluster using eksctl, installing the AWS Load Balancer Controller, and deploying Milvus on EKS using Helm. The post also explains how to configure S3 as object storage, MSK as message storage, expose Milvus services for external access, and enable high availability deployment of Milvus core components. Finally, the author demonstrates how to access and manage Milvus endpoints through Kubernetes Services and Attu, an open-source Milvus administration tool. The post concludes with a test using Milvus' official example code to verify if the Milvus database is working properly.