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#resource-quota

12 approved public terms with this tag.

CPU Resource Quota is a compute limit that sets how much compute a workload may consume for general-purpose processor scheduling. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used CPU Resource Quota when the service hit a compute ceiling, so the team could protect shared capacity before the workload scaled up.

Cache Resource Quota is a compute limit that sets how much compute a workload may consume for fast temporary data layer. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Cache Resource Quota when the cache missed during peak traffic, so the team could protect shared capacity before the workload scaled up.

Cluster Resource Quota is a compute limit that sets how much compute a workload may consume for group of machines acting as one platform. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Cluster Resource Quota when the cluster added a node pool, so the team could protect shared capacity before the workload scaled up.

Container Resource Quota is a compute limit that sets how much compute a workload may consume for packaged application runtime. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Container Resource Quota when the image started on a new node, so the team could protect shared capacity before the workload scaled up.

Edge Resource Quota is a compute limit that sets how much compute a workload may consume for globally distributed runtime. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Edge Resource Quota when the request arrived near a user, so the team could protect shared capacity before the workload scaled up.

GPU Resource Quota is a compute limit that sets how much compute a workload may consume for accelerated compute for parallel workloads. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used GPU Resource Quota when the training job requested more memory, so the team could protect shared capacity before the workload scaled up.

Memory Resource Quota is a compute limit that sets how much compute a workload may consume for volatile runtime storage. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Memory Resource Quota when the process approached its memory limit, so the team could protect shared capacity before the workload scaled up.

Queue Resource Quota is a compute limit that sets how much compute a workload may consume for asynchronous work buffer. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Queue Resource Quota when the queue depth increased, so the team could protect shared capacity before the workload scaled up.

Scheduler Resource Quota is a compute limit that sets how much compute a workload may consume for placement of work onto resources. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Scheduler Resource Quota when the cluster needed to place a job, so the team could protect shared capacity before the workload scaled up.

Serverless Resource Quota is a compute limit that sets how much compute a workload may consume for event-driven function execution. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Serverless Resource Quota when the function received a traffic burst, so the team could protect shared capacity before the workload scaled up.

Storage Resource Quota is a compute limit that sets how much compute a workload may consume for persistent data and object access. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Storage Resource Quota when the workload read a large dataset, so the team could protect shared capacity before the workload scaled up.

Virtual Machine Resource Quota is a compute limit that sets how much compute a workload may consume for isolated guest compute. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

The platform engineering team used Virtual Machine Resource Quota when the VM migrated hosts, so the team could protect shared capacity before the workload scaled up.