The Challenge
The organization's development team was small, and maintaining database infrastructure was consuming capacity that should have been directed toward product and data initiatives. The existing setup lacked the automatic recovery, read scaling, and managed support infrastructure that a data mining system at this scale required.
Reliable, fast access to operational data is central to decision-making in a retail environment where response times to market changes matter. The existing infrastructure could not guarantee the availability or scalability needed to consistently meet that need.
The organization also required a managed Kubernetes environment to run its data mining services, without the operational overhead of manually managing and deploying Kubernetes servers. The development team needed the flexibility to scale applications quickly without absorbing the complexity of cluster management.
