Container Service for Kubernetes:Manage clusters

Item

Description

Authorization management

You can manage the authorizations of ACK Lingjun clusters in the same way you manage ACK Pro clusters. For more information, see Authorization management.

Network management

• Service management

• Ingress management

• DNS Service discovery

Component management

Manage components

Application management

• Workloads

• Application scheduling

• Configuration management

Security management

Security

Observability

• Log management

• Monitoring management

Scheduling

Task scheduling:

• Task scheduling overview

• Work with gang scheduling

• Use Capacity Scheduling

Use eGPU to share and schedule GPU resources

Topology-aware GPU scheduling:

Kubernetes is unaware of the topology of GPU resources on nodes. Therefore, Kubernetes schedules GPU resources in a random manner. As a result, GPU acceleration for training jobs considerably varies based on the scheduling results of GPU resources. To avoid this situation, ACK supports topology-aware GPU scheduling based on the scheduling framework of Kubernetes. You can use this feature to select multiple GPUs from GPU-accelerated nodes to achieve optimal GPU acceleration for training jobs.