How To Migrate Stateful Workloads On Kubernetes With Zero Downtime

Kubernetes was initially designed to manage ephemeral workloads, but it fell short for stateful applications that require persistent data and long-running processes. Stateful workloads, such as databases or AI/ML model training, cannot be stopped and restarted without risking data loss or interruption. This led to challenges when running stateful workloads in Kubernetes, including interruptions resulting in downtime, low resource utilization, and the need to balance cost optimization with performance. To address these issues, live migration for stateful applications is crucial. Live migration ensures that stateful applications remain resilient and responsive by allowing seamless transitions from one node to another without interrupting the application's operation. CAST AI Container Live Migration provides a solution to manage stateful K8s workloads in your cluster, ensuring continuous uptime, eliminating resource fragmentation, and driving additional cost savings.

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