* Migrate the metrics/v1alpha1 API to metrics/v1beta1.  The HorizontalPodAutoscaler ([#51653](https://github.com/kubernetes/kubernetes/pull/51653), [@DirectXMan12](https://github.com/DirectXMan12))
    * controller REST client now uses that version.  For v1beta1, the API is now known as
    * resource-metrics.metrics.k8s.io.

`autoscaling/v2alpha1`. The Horizontal Pod Autoscaler changes include support for status conditions, and autoscaling on memory and custom metrics.

* The metrics APIs, `custom-metrics.metrics.k8s.io` and `metrics`, were moved from `v1alpha1` to `v1beta1`, and renamed to `custom.metrics.k8s.io` and `metrics.k8s.io`, respectively. If you have deployed a custom metrics adapter, ensure that it supports the new API version. If you have deployed Heapster in aggregated API server mode, upgrade Heapster...

---

CPU bound 작업의 흔한 예시는 복잡한 수학 처리가 필요한 것들입니다.

예를 들어:

* **오디오** 또는 **이미지** 처리
* **컴퓨터 비전**: 이미지는 수백만 개의 픽셀로 구성되며, 각 픽셀은 3개의 값/색을 갖습니다. 보통 그 픽셀들에 대해 동시에 무언가를 계산해야 합니다.
* **머신러닝**: 보통 많은 "matrix"와 "vector" 곱셈이 필요합니다. 숫자가 있는 거대한 스프레드시트를 생각하고, 그 모든 수를 동시에 곱한다고 생각해보세요.
* **딥러닝**: 머신러닝의 하위 분야이므로 동일하게 적용됩니다. 다만 곱해야 할 숫자가 있는 스프레드시트가 하나가 아니라, 아주 큰 집합이며, 많은 경우 그 모델을 만들고/또는 사용하기 위해 특별한 프로세서를 사용합니다.

		}

		// Initialize batch job pool.
		bootstrapTrace("newBatchJobPool", func() {
			globalBatchJobPool = newBatchJobPool(GlobalContext, newObject, 100)
			globalBatchJobsMetrics = batchJobMetrics{
				metrics: make(map[string]*batchJobInfo),
			}
			go globalBatchJobsMetrics.init(GlobalContext, newObject)
			go globalBatchJobsMetrics.purgeJobMetrics()
		})

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    - [(No, really, you MUST read this before you upgrade)](#no-really-you-must-read-this-before-you-upgrade)
  - [Deprecations](#deprecations)
  - [Removed and deprecated metrics](#removed-and-deprecated-metrics)
    - [Removed metrics](#removed-metrics)
    - [Deprecated metrics](#deprecated-metrics)
  - [Notable Features](#notable-features)
  - [API Changes](#api-changes)
  - [Detailed Bug Fixes And Changes](#detailed-bug-fixes-and-changes)

pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Flags int32
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Index uint16
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Metric int32
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Msglen uint16
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Pad_cgo_0 [6]uint8
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Type uint8

* Flex drivers by default do not produce metrics. Flex plugins can enable metrics collection by setting  the capability 'supportsMetrics' to true. Make sure the file system can support fs stat to produce metrics in this case. ([#67508](https://github.com/kubernetes/kubernetes/pull/67508), [@brahmaroutu](https://github.com/brahmaroutu))

pkg syscall (darwin-386), type IfData struct, Iqdrops uint32
pkg syscall (darwin-386), type IfData struct, Lastchange Timeval
pkg syscall (darwin-386), type IfData struct, Metric uint32
pkg syscall (darwin-386), type IfData struct, Mtu uint32
pkg syscall (darwin-386), type IfData struct, Noproto uint32
pkg syscall (darwin-386), type IfData struct, Obytes uint32

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