
Migration of Java Enterprise Application to Kubernetes

About the client:
Our customer is a US-based Organization working in the knowledge management industry. The client had planned the migration of Java enterprise applications to Kubernetes.
Requirement:
The requirement was to deploy a Java enterprise document management system and business process management system on the Kubernetes cluster. This involved customizing the Helm charts, KOPS, KubeCtl, AWS EKS, EC2, ELB, S3, and Route53.
Challenges:
The clients are working in the content management area and need to process huge number’s of documents. As they deal with huge content , they needed a production-grade orchestration solution.
Following were some of the challenges the client faced :
- Inefficient to handle the load.
- Difficult to deploy changes.
- Deployment with zero downtime.
- Difficult to manage servers.
Our Solution:
Kubernetes (K8s) is an open-source container orchestration platform. We successfully executed the migration of Java enterprise applications by deploying the existing system on a Kubernetes cluster built on AWS.
We transformed the existing monolithic design into a microservices architecture by modularizing the services. Each microservice was designed to be independent and stateless, leading to a fault-tolerant system.
We adopted a containerization approach for deploying services, which made the deployment easier, faster, and more efficient.
Additionally, with the help of the Kubernetes dashboard, the client could seamlessly monitor containers and services within the document management system.
Business Benefits:
Our solution has successfully migrated the application to Kubernetes which has given the client the production-grade orchestration solution. The following are the benefits:
- Highly available and fault-tolerant.
- One-click deployment.
- Zero downtime.
- Managing and monitoring of the server with ease.
Requirement:
The requirement was to deploy a Java enterprise document management system and business process management system on the Kubernetes cluster. This involved customizing the Helm charts, KOPS, KubeCtl, AWS EKS, EC2, ELB, S3, and Route53.

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