Kubernetes Up and Running¶
Burns, B., Beda, & Hightower, K. (2019). Kubernetes Up and Running: Dive into the Future of Infrastructure. O'Reilly Media.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Resource Management
- Static reservation minimizes latency variance but leaves capacity unused when demand is below allotment; dynamic allocation recovers that capacity but couples consumers (neighboring processes affect each other, creating "noisy-neighbor" problems) — Burns, Beda, and Hightower (2019) describe the Kubernetes requests/limits model as an explicit codification of this trade-off at scale.
This sourceCanonical practitioner reference on Kubernetes resource management: requests/limits, ResourceQuotas, LimitRanges, and the static-vs-dynamic allocation trade-off codified in modern container orchestration.
- Static reservation minimizes latency variance but leaves capacity unused when demand is below allotment; dynamic allocation recovers that capacity but couples consumers (neighboring processes affect each other, creating "noisy-neighbor" problems) — Burns, Beda, and Hightower (2019) describe the Kubernetes requests/limits model as an explicit codification of this trade-off at scale.
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