# Autoscaler failing on minikube

**URL:** <https://discuss.ray.io/t/autoscaler-failing-on-minikube/1853>\
**Category:** Kubernetes\
**Created:** [April 22, 2021, 10:13pm UTC](https://discuss.ray.io/t/autoscaler-failing-on-minikube/1853 "2021-04-22T22:13:50Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![asm582](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/asm582/32/669_2.png) [@asm582](https://discuss.ray.io/u/asm582)\
**Post date:** [April 22, 2021, 10:13pm UTC](https://discuss.ray.io/t/autoscaler-failing-on-minikube/1853/1 "2021-04-22T22:13:50Z")

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Hello,

I get the below exception with autoscaler:

2021-04-22 15:06:23,806 ERROR autoscaler.py:142 – StandardAutoscaler: Error during autoscaling.  
Traceback (most recent call last):  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 140, in update  
self.\_update()  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 191, in \_update  
if (self.\_keep\_min\_worker\_of\_node\_type(node\_id, node\_type\_counts)  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 443, in \_keep\_min\_worker\_of\_node\_type  
min\_workers = self.available\_node\_types[node\_type].get(  
KeyError: ‘worker-node’  
2021-04-22 15:06:28,923 ERROR autoscaler.py:142 – StandardAutoscaler: Error during autoscaling.  
Traceback (most recent call last):  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 140, in update  
self.\_update()  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 191, in \_update  
if (self.\_keep\_min\_worker\_of\_node\_type(node\_id, node\_type\_counts)  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 443, in \_keep\_min\_worker\_of\_node\_type  
min\_workers = self.available\_node\_types[node\_type].get(  
KeyError: ‘worker-node’  
2021-04-22 15:06:28,923 CRITICAL autoscaler.py:152 – StandardAutoscaler: Too many errors, abort.  
2021-04-22 15:06:28,923 ERROR monitor.py:253 – Error in monitor loop  
Traceback (most recent call last):  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/monitor.py”, line 285, in run  
self.\_run()  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/monitor.py”, line 187, in \_run  
self.autoscaler.update()  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 154, in update  
raise e  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 140, in update  
self.\_update()  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 191, in \_update  
if (self.\_keep\_min\_worker\_of\_node\_type(node\_id, node\_type\_counts)  
File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/autoscaler/\_private/autoscaler.py”, line 443, in \_keep\_min\_worker\_of\_node\_type  
min\_workers = self.available\_node\_types[node\_type].get(  
KeyError: ‘worker-node’

I used ray up to launch the example cluster and then did ray.init(address=“auto”) which caused the above exception

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<div class="post-metadata">

**Author:** ![Dmitri](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/dmitri/32/657_2.png) [@Dmitri](https://discuss.ray.io/u/Dmitri)\
**Post date:** [April 26, 2021, 6:01pm UTC](https://discuss.ray.io/t/autoscaler-failing-on-minikube/1853/2 "2021-04-26T18:01:40Z")

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What version of Ray is being used locally (i.e. outside of minikube)?  
You can check with `ray --version`.

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<div class="post-metadata">

**Author:** ![asm582](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/asm582/32/669_2.png) [@asm582](https://discuss.ray.io/u/asm582)\
**Post date:** [April 26, 2021, 6:53pm UTC](https://discuss.ray.io/t/autoscaler-failing-on-minikube/1853/3 "2021-04-26T18:53:10Z")

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Thank you for your reply. Sorry I do not have the setup, I stopped all container instances in minikube, restarted minikube and deployed again, surprisingly it worked after restart