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autoscaler
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18 Commits

Author SHA1 Message Date
Jiaxin Shan 90666881d3 Move GPULabel and GPUTypes to cloud provider 2019-03-25 13:03:01 -07:00
Łukasz Osipiuk 016bf7fc2c Use k8s.io/klog instead github.com/golang/glog 2018-11-26 17:30:31 +01:00
Łukasz Osipiuk 52aaac362f Remove GetGpuRequests function 2018-09-05 11:58:46 +02:00
Aleksandra Malinowska 800ee56b34 Refactor and extend GPU metrics error types 2018-07-05 13:13:11 +02:00
Karol Gołąb 553db2c9fc Separated errors 2018-07-05 11:30:12 +02:00
Karol Gołąb aae4d1270a Make GetGpuTypeForMetrics more robust 2018-06-26 21:35:16 +02:00
Karol Gołąb 5eb7021f82 Add GPU-related scaled_up & scaled_down metrics (#974) 
* Add GPU-related scaled_up & scaled_down metrics

* Fix name to match SD naming convention

* Fix import after master rebase

* Change the logic to include GPU-being-installed nodes
 2018-06-22 21:00:52 +02:00
Łukasz Osipiuk 57ea19599e Explicitly return AutoscalerError from GetNodeTargetGpus 2018-06-14 15:46:58 +02:00
Łukasz Osipiuk 087a5cc9a9 Respect GPU limits in scale_down 2018-06-13 14:19:59 +02:00
Karol Gołąb bada827839 Simplify the code by removing superfluous variable 2018-05-18 09:38:47 +02:00
Karol Gołąb f877f5a64e Remove unused error handling 2018-05-10 12:15:42 +02:00
Maciej Pytel abbc45da2e Delay scale-up including GPU request 
Nodes with GPU are expensive and it's likely a bunch of pods
using them will be created in a batch. In this case we can
wait a bit for all pods to be created to make more efficient
scale-up decision.
 2018-03-02 15:55:04 +01:00
Maciej Pytel d876d74912 Ignore unfitness in price expander if using GPU 2018-03-02 15:50:43 +01:00
Maciej Pytel b7f8622eb2 Create node groups with GPU in scale-up.go 
This is still not implemented in cloudprovider.
Extended NewNodeGroup inteface to have a way of passing
parameters for more complex resources.
 2017-12-11 13:12:22 +01:00
Maciej Pytel 6554919700 Helper function to calculate GPU requests for NAP 2017-12-11 13:12:22 +01:00
Marcin Wielgus f8c0e20ad9 Source fix after godep update 2017-11-28 14:01:43 +01:00
Maciej Pytel d81dca5991 Mark nodes with uninitialized GPUs as unready 2017-11-10 17:56:10 +01:00
Beata Skiba 2b28ac1a04 Add a workaround for scaling of VMs with GPUs 
When a machine with GPU becomes ready it can take
up to 15 minutes before it reports that GPU is allocatable.
This can cause Cluster Autoscaler to trigger a second
unnecessary scale up.
The workaround sets allocatable to capacity for GPU so that
a node that waits for GPUs to become ready to use will be
considered as a place where pods requesting GPUs can be
scheduled.
 2017-11-06 16:04:22 +01:00