#kuberneteslimits#resourcerequests#costoptimization
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Intermediate. Assumes working knowledge.
19K views7 years ago1 recommendation
Cloud and DevOpsKubernetesPerformance and optimizationScaling and large-scale architecture
Henning Jacobs shares Zalando's approach to monitoring and optimizing Kubernetes resource requests and limits across dozens of clusters.
Крупнейшая профессиональная конференция для разработчиков высоконагруженных систем Saint HighLoad++ 2026 Подробнее: clck.ru/3QZHTb Июнь, 2026. Санкт-Петербург, DESIGN DISTRICT DAA in SPB -------- HighLoad++ Moscow 2018 Тезисы и презентация: highload.ru/moscow/2018/abstracts/3933 Kubernetes has the concept of resource requests and limits. Pods get scheduled on the nodes based on their requests and optionally limited in how much of the resource they can consume. Understanding and optimizing resource requests/limits is crucial both for reducing resource "slack" and ensuring application performance/low-latency. This talk shows our approach to monitoring and optimizing Kubernetes resources for 80+ clusters to achieve cost-efficiency and reducing impact for latency-critical applications. All shown tools are Open Source and can be applied to most Kubernetes deployments. Нашли ошибку в видео? Пишите нам на support@ontico.ruWhat people say. Recommended for its insights on setting CPU and memory requests and limits to balance cost-efficiency and application latency.
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