Package Exports
- hyperflow-autoscaler-plugin
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Readme
Autoscaler
Alternative to Kubernetes Autoscaler, that is focused on Hyperflow engine. It is intended to provide better scaling results, by utilizing workflow details and predictions and taking proper action according to selected scaling policy.
Scaling kubernetes infrastructure is performed via custom providers.
Installation
$ npm install -g hyperflow-autoscaler-pluginConfigration
Plugin behavior is controlled via environmental variables.
HF_VAR_autoscalerProvider
Provider for managing cluster infrastructure.
Possible values:
- gcp -- Google Cloud Platform
- kind -- Kubernets in Docker, for development only
- dummy -- autoscaler will not perform any real cluster change
- none -- completety disables autoscaler functionality
HF_VAR_autoscalerMachineType
Name of worker instance type.
Possible values:
- n1_highcpu_4
- n1_highcpu_8
- and so on
HF_VAR_autoscalerPolicy
"Rules" for scaling.
Possible values:
- react -- scale in reactive way, by adjusting cluster to current demand
- predict -- scale cluster with workflow preditions
HF_VAR_autoscalerEstimator
This applies to predict policy; specifies estimator.
Possible values:
- process -- per process estimations
- workflow -- per workflow estimations (Token-like method)
HF_VAR_autoscalerGKEPool
This applies to gcp provider only; specifies name of workers node pool.
Default value: "default-pool"
Usage
$ hflow run /wf_dir -p hyperflow-autoscaler-plugin