Resource requests and limits
HoldTechniques
Kubernetes settings that define the CPU and memory resources a workload requests or can use.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6The New Stack·6/23/2026researchKubernetes teams trust automation for delivery but hesitate on CPU and memory tuning
A survey of 321 enterprise Kubernetes practitioners found strong trust in automated deployment and rollback, but much lower willingness to let systems auto-apply CPU and memory resource changes. The gap matters more as AI inference workloads on Kubernetes raise the cost of overprovisioning and make manual rightsizing harder to sustain at scale.