Case Study: Mercedes-Benz.io reduces Kubernetes costs and overhead with CAST AI

Mercedes-Benz.io cuts Kubernetes costs with CAST AI through Spot VM automation and smart bin-packing

Mercedes-Benz.io, a software development unit for Mercedes-Benz's digital platforms, faced significant operational overhead and cost inefficiencies in their large-scale Kubernetes environment due to workloads that were not rightsized and the use of outdated instance types. To address these challenges, they implemented the automation platform from vendor CAST AI.

The solution from CAST AI involved automated instance selection, node autoscaling, and workload rightsizing to align capacity with actual demand. By leveraging features like Spot VM automation and node hibernation, Mercedes-Benz.io achieved significant cost savings, more efficient scaling, and a major reduction in operational overhead for their Kubernetes cluster management.

Mercedes-Benz.io