Mercedes has taken advantage of containers and Kubernetes to build knowledge in their staff. This investment helps them adapt and change their technology to meet the needs of the business.
Kubernetes production clusters are typically run on cloud platforms. However, running and deploying Kubernetes applications on cloud platforms such as Google Kubernetes Engine is costly. These high costs can restrict the Kubernetes learning process for beginners. However, running Kubernetes clusters locally helps you efficiently test applications without disrupting the production environment or paying for cloud services.