Building Automated CI / CD Pipeline for Java Application with Kubernetes on AWS
August 26, 2026Engineering Team
About the client:
Our client operates in the knowledge management industry, where managing unstructured documents efficiently is critical. They rely heavily on a Java enterprise application to streamline document management and internal operations.
Challenges:
The client wanted to implement a robust CI/CD pipeline for their Java Application with Kubernetes on AWS, ensuring automated deployment across multiple environments. However, they faced several challenges:
- Inability to run tests in real-world scenarios.
- Very low code coverage.
- Complex and error-prone production deployments.
- Slow build times.
- Lengthy code review cycles.
Our Solution:
The source code repository was maintained in Bitbucket. To streamline the CI/CD workflow for the Java Application with Kubernetes on AWS, we designed a cloud-native pipeline using AWS services.
- Bitbucket webhooks were configured to trigger an AWS Lambda function through API Gateway.
- The Lambda function copied the source code to a dedicated AWS S3 bucket for the deployment process.
- An AWS CodeBuild project was set up to build the source from S3, generate Docker images, and push them to Amazon ECR.
- Finally, AWS CodeDeploy deployed the Docker containers from ECR to the Kubernetes cluster, ensuring zero downtime during updates.
This pipeline automated deployments for both staging and production environments, making the knowledge management application more reliable and scalable.
Business Benefits:
By moving to a fully automated CI/CD pipeline for their Java enterprise application, the client achieved:
- Continuous test execution in real-world scenarios.
- Automated deployments with zero manual errors.
- Seamless staging and production environment management.
- Zero-downtime releases with Kubernetes on AWS.
- Faster builds and quicker code reviews.
- Significantly improved productivity and stability.
Moving to Continuous Deployment has changed the client’s development dramatically. The productive has increased significantly and lead to a more stable and better product. Steps like automated testing are helping them to build a better product for their users.
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