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The kiosk-autoscaler turns on GPU resources when they are required and turns them back off when they are not needed, minimizing GPU costs for the DeepCell Kiosk.
This repository is part of the DeepCell Kiosk. More information about the Kiosk project is available through Read the Docs and our FAQ page.
Configuration
The Autoscaler is configured using environment variables. Please find a table of all environment variables and their descriptions below.
Name
Description
Default Value
RESOURCE_NAME
REQUIRED: The name of the resource to scale.
""
RESOURCE_TYPE
The resource type of RESOURCE_NAME, one of "deployment" or "job".
"deployment"
RESOURCE_NAMESPACE
The Kubernetes namespace of RESOURCE_NAME.
"default"
QUEUES
A QUEUE_DELIMITER separated list of work queues to monitor.
"predict,track"
QUEUE_DELIMITER
A string used to separate a list of queue names in QUEUES.
","
INTERVAL
How frequently the autoscaler checks for required resources, in seconds.
5
REDIS_HOST
The IP address or hostname of Redis.
"redis-master"
REDIS_PORT
The port used to connect to Redis.
6379
REDIS_INTERVAL
Time to wait between Redis ConnectionErrors, in seconds.
1
MAX_PODS
The maximum number of pods to scale up. Should be 1.
1
MIN_PODS
The minimum number of pods to scale down. Should be 0.
0
KEYS_PER_POD
The number of work keys per instance of RESOURCE_NAME. Should be 1.
