Latest Trends์ถ์ฒ: Netflix Tech์กฐํ์ 2
Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
By Netflix Technology Blog2026๋
3์ 1์ผ
**Mount Mayhem at Netflix: Scaling Containers on Modern CPUs**
Authors: Harshad Sane, Andrew HalaneyImagine this โ you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to millions of members worldwide. To keep up with responsiveness at this scale, we modernized our container runtime, only to hit a surprising bottleneck: the CPU architecture itself.Let us walk you through the story of how we diagnosed the problem and what we learned about scaling containers at the hardware level.The ProblemWhen application demand requires that we scale up our servers, we get a new instance from AWS. To use this new capacity efficiently, pods are assigned to the node until its resources are considered fully allocated. A node can go from no applications running to being maxed out within moments of being ready to receive these applications.As we migrated more and more from our old container platform to our new container platform, we started seeing some concerning trends...
---
**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ Netflix Tech์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.
Authors: Harshad Sane, Andrew HalaneyImagine this โ you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to millions of members worldwide. To keep up with responsiveness at this scale, we modernized our container runtime, only to hit a surprising bottleneck: the CPU architecture itself.Let us walk you through the story of how we diagnosed the problem and what we learned about scaling containers at the hardware level.The ProblemWhen application demand requires that we scale up our servers, we get a new instance from AWS. To use this new capacity efficiently, pods are assigned to the node until its resources are considered fully allocated. A node can go from no applications running to being maxed out within moments of being ready to receive these applications.As we migrated more and more from our old container platform to our new container platform, we started seeing some concerning trends...
---
**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ Netflix Tech์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.
