Containerized applications on the cloud can have predictable workload patterns. To meet demand for resources while keeping costs low, businesses need to be able to size up such applications for certain heavy workloads without paying for excess resources during idle hours.

Alibaba Cloud allows you to deploy a containerized application on a Kubernetes cluster and set up auto scaling to automatically adjust the compute capacity of the cluster in response to workload changes. You can automatically add compute resources in response to increased workload requirements and automatically remove compute resources to save costs based on utilization thresholds. You can perform cost-effective computing for large-scale workloads that do not require real-time responses, such as DNA sequencing, ML modeling and other ad hoc workloads. You can dynamically provision storage volumes to accommodate data growth.