Optimizing Kubernetes Resource Requests/Limits for Cost-Efficiency and Latency / Henning Jacobs

  Рет қаралды 18,305

HighLoad Channel

HighLoad Channel

5 жыл бұрын

Приглашаем на конференцию Saint HighLoad++ 2024, которая пройдет 24 и 25 июня в Санкт-Петербурге!
Программа, подробности и билеты по ссылке: vk.cc/cuyIqx
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HighLoad++ Moscow 2018
Тезисы и презентация:
www.highload.ru/moscow/2018/ab...
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.
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Пікірлер: 10
@antonsmolkov751
@antonsmolkov751 2 жыл бұрын
So few offline viewers. But this is a treasure!
@aperture147
@aperture147 3 жыл бұрын
Thanks for the presentation! I've gained more about 5% requests per sec, at the highest peak is 7 - 10%. It's a huge performance boost for a small company like us!
@jayntguru
@jayntguru 5 жыл бұрын
Great talk. Lots of good information. Thank you!
@zampogna
@zampogna 4 жыл бұрын
KUDOS for one of the most interesting speech on this argument. Zalando is the best.
@umangshucool
@umangshucool 5 жыл бұрын
Great talk :) 11:55 overcommit to cpu I guess
@fredsted
@fredsted 5 жыл бұрын
Great talk, very informative, thanks
@yogeshkad7466
@yogeshkad7466 4 жыл бұрын
How are you calculating used CPU/memory per namespace? Can you please paste the command /program here?
@mehulkulshreshtha6943
@mehulkulshreshtha6943 Жыл бұрын
I wish this was divided in chapters..
@pmwanjohiKing
@pmwanjohiKing 5 жыл бұрын
14:51
@dmitryverkhoturov3100
@dmitryverkhoturov3100 2 жыл бұрын
By the way, the moment you shared has code with an incorrect comment: 100000 is 100μs and not 100ms. I will update the comment in the Kubernetes PR 111554 shortly.
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