github/kubernetes
1
0
Fork 0
mirror of https://github.com/k3s-io/kubernetes.git synced 2025-09-07 04:03:20 +00:00
Code Issues Projects Releases Wiki Activity

Merge pull request #14106 from jszczepkowski/hpa-api

Browse Source 
Auto commit by PR queue bot
This commit is contained in:
k8s-merge-robot
2015-09-19 22:23:06 -07:00
parent 8c3da5d9cc 7fcf7f1177
commit c2f76e4ce7
15 changed files with 101 additions and 101 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
docs/proposals/horizontal-pod-autoscaler.md
View File

@@ -134,11 +134,11 @@ type HorizontalPodAutoscalerSpec struct {
// ScaleRef is a reference to Scale subresource. HorizontalPodAutoscaler will learn the current
// resource consumption from its status, and will set the desired number of pods by modifying its spec.
ScaleRef *SubresourceReference
// MinCount is the lower limit for the number of pods that can be set by the autoscaler.
MinCount int
// MaxCount is the upper limit for the number of pods that can be set by the autoscaler.
// It cannot be smaller than MinCount.
MaxCount int
// MinReplicas is the lower limit for the number of pods that can be set by the autoscaler.
MinReplicas int
// MaxReplicas is the upper limit for the number of pods that can be set by the autoscaler.
// It cannot be smaller than MinReplicas.
MaxReplicas int
// Target is the target average consumption of the given resource that the autoscaler will try
// to maintain by adjusting the desired number of pods.
// Currently this can be either "cpu" or "memory".
@@ -173,7 +173,7 @@ type ResourceConsumption struct {
```
```Scale``` will be a reference to the Scale subresource.
```MinCount```, ```MaxCount``` and ```Target``` will define autoscaler configuration.
```MinReplicas```, ```MaxReplicas``` and ```Target``` will define autoscaler configuration.
We will also introduce HorizontalPodAutoscalerList object to enable listing all autoscalers in the cluster:
```go
@@ -194,8 +194,8 @@ and check their average CPU or memory usage from the last 1 minute
(there will be API on master for this purpose, see
[#11951](https://github.com/kubernetes/kubernetes/issues/11951).
Then, it will compare the current CPU or memory consumption with the Target,
and adjust the count of the Scale if needed to match the target
(preserving condition: MinCount <= Count <= MaxCount).
and adjust the replicas of the Scale if needed to match the target
(preserving condition: MinReplicas <= Replicas <= MaxReplicas).
The target number of pods will be calculated from the following formula: