Aizen Foresight Desktop(foresightd) package

A Helm chart for foresightd platform for machine learning pipelines

Prerequisites

• Kubernetes 1.25+
• Helm 3.2.0+
• Persistent Volume(PV) provisioner support in the underlying infrastructure

Get Helm Repository Info

helm repo add aizen-foresightd https://elevo-ai.github.io/foresightd/charts
helm repo update

Installing foresightd chart

helm install [RELEASE_NAME] aizen-foresightd/foresightd

Values

foresightd

Key	Type	Default	Description
global.image_registry	string	aizen.repo.com	The docker image registry to use
global.image_tag	string	0.0.1	Default tag for the image
global.storage_class	string	standard	Backend storage
global.image_secret	string	""	Secret to access docker image registry
global.fileshare	string	""	Local fileshare mount if any exists
foresightd-core.image_tag	string	0.0.1	Image tag for core docker image
foresightd-core.volume_size	string	5Gi	Volume size for core
foresightd-core.resources.limits.cpu	string	1	Max cpu
foresightd-core.resources.limits.memory	string	4Gi	Max memory
foresightd-console.image_tag	string	0.0.1	Image tag for console docker image
foresightd-console.volume_size	string	5Gi	Volume size for console
foresightd-console.resources.limits.cpu	string	1	Max cpu
foresightd-console.resources.limits.memory	string	4Gi	Max memory
foresightd-mlearn.image_tag	string	0.0.1	Image tag for mlearn docker
foresightd-mlearn.volume_size	string	5Gi	Volume size for mlearn
foresightd-mlearn.mysql.primary.persistence.storageClass	string	standard	Backend storage
foresightd-mlearn.mysql.primary.persistence.size	string	8Gi	Volume size
foresightd-mlearn.mysql.auth.password	string	""	mysql password for root user
foresightd-mlearn.mlflow.image_tag	string	0.0.1	Image tag for mlflow docker image
foresightd-mlearn.mlflow.resources.limits.cpu	string	200m	Max cpu
foresightd-mlearn.mlflow.resources.limits.memory	string	2Gi	Max memory
foresightd-mlearn.resources.limits.cpu	string	2	Max cpu
foresightd-mlearn.resources.limits.memory	string	4Gi	Max memory