DATA SCIENCE INFRASTRUCTURE
The client needed to strengthen collaboration within the data scientists team by moving research capabilities into cloud workloads. Besides, they wanted to automate and unify the deployment process of AWS resources. That, in turn, would decrease the time and effort required for a team of data scientists to build and test their models.
CI/CD FOR MOBILE CROSS PLATFORM APPLICATION
Initially, the client’s development team performed continuous integration and continuous deployment processes manually. Consequently, it was time- and effort-consuming to build cross-platform mobile applications. Besides, they used the legacy tools stack – that doesn’t have built-in mobile-specific continuous integration and deployment capabilities.
The client’s request was to partly migrate on-premise infrastructure to the cloud. As per the customer’s requirements, the application services should have been hosted in the cloud for cost reduction and efficient scaling. The database cluster should have been replicated in the cloud to cut costs of disaster recovery infrastructure and reduce downtime, but the write nodes should have remained in the local data center.
DATA CENTER MIGRATION
The client faced the necessity to migrate its on-premise IT infrastructure running on an outdated VMware ESXi cluster (dedicated physical boxes) due to the shutdown of a classic data center in its current physical location. The environment comprised a wide range of different services that needed to be migrated: AD DS, DFS, DHCP, File Servers, old custom 2-tier applications, BizTalk application cluster, IIS, TFS server, SQL Servers, etc