Kubernetes enables organizations to orchestrate workloads on-premise, but running it outside the cloud introduces challenges that teams don’t typically deal with in managed environments. In the cloud, infrastructure is abstracted – scaling, provisioning, and network management happen behind the scenes. On-premise, organizations must now take on those responsibilities, managing everything from hardware constraints to lifecycle operations.
96% of organizations used Kubernetes in 2023, up from 83% in 2020, according to CNCF’s 2022 survey. While cloud deployments dominate most discussions, many companies still run Kubernetes on-premise for compliance, cost control, and security. However, managing Kubernetes on your own infrastructure comes with a lot of challenges.
Cloud providers take care of scaling and maintenance, but on-premise environments require precise hardware planning. Organizations must decide how many servers to procure, what configurations to choose, and how to allocate resources efficiently to handle peak and fluctuating workloads.
Without careful planning, servers run below capacity, wasting power and space. This drives up costs and adds complexity. Kubernetes helps by dynamically placing workloads and balancing resources, but only when deployed with a strategy that accounts for scaling limits and hardware constraints.
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