Let's Transform the Future
Case Studies
It is paramount for us to help our customers by building solutions for every single use-case with the right combination of technologies, tools and resources required. This approach has enabled us to move forward quickly. Whether its workload migrations on the Cloud or to build a fully automated CI/CD pipeline solution for the continuous software release process. Whether its building serverless applications to run the code without any provisioning or managing any underlying servers or to create a real-time data streaming analytics platform, we are committed to push every single boundary to help our customers transform their IT models to generate the real Business value.
Continuous Integration and Development(CI/CD)
Automated Deployment Pipeline
AWS CodePipeline, CodeBuild & CodeDeploy
This automated deployment pipeline solution uses AWS S3, AWS Codedeploy and AWS EC2 integrated with the production servers to create a seamless build, test and deployment process. Automated and hassle-free software development and bug fixing mechanism has speed-up the delivery process and improved the quality of applications while still providing full control over various build, test and deployment stages.
A Datawarehouse Solution
Migrating Oracle to AWS Redshift
AWS SCT and DMS
eCloudChain has successfully Migrated the Oracle DB to Amazon Redshift using AWS Data-Migration-Service (DMS) and AWS Schema Conversion Tool ( SCT ) for seamless migration process with schema conversion.The new data warehouse solution on Amazon Redshift has substantially improved query and data load performance, increase scalability, and reduced the cost
Continious Integration and Deployment
Continuous Software Release
Jenkins,AWS Codepipeline,CodeDeploy,Cloudwatch
AWS Codepipeline is used to establish a workflow from Git to production using Jenkins to incorporate continuous code changes and bug fixes by the development and testing teams. Seamless development, build, test and deployment process was successfully implemented to establish a cloud-based DevOps culture.
