py-kms

A Helm chart for Kubernetes

Deployment

Below is a basic overview of the steps required to deploy the Helm chart to an existing Kubernetes cluster which is accessible via Kubectl

Create py-kms Namespace (recommended)

kubectl create ns py-kms

Deploy chart with default values.yaml

helm install -n py-kms -f myvalues.yaml charts/py-kms

For more information please refer to the Helm Install command documentation located at: https://helm.sh/docs/helm/helm_install/

Values

Key	Type	Default	Description
affinity	object	{}
autoscaling.enabled	bool	false
autoscaling.maxReplicas	int	100
autoscaling.minReplicas	int	1
autoscaling.targetCPUUtilizationPercentage	int	80
fullnameOverride	string	""
image.pullPolicy	string	"IfNotPresent"
image.repository	string	"ghcr.io/py-kms-organization/py-kms"
image.tag	string	"python3"
imagePullSecrets	list	[]
ingress.annotations	object	{}
ingress.className	string	""
ingress.enabled	bool	false
ingress.hosts[0].host	string	"chart-example.local"
ingress.hosts[0].paths[0].path	string	"/"
ingress.hosts[0].paths[0].pathType	string	"ImplementationSpecific"
ingress.tls	list	[]
nameOverride	string	""
nodeSelector	object	{}
podAnnotations	object	{}
podSecurityContext	object	{}
py-kms.environment.HWID	string	"RANDOM"
py-kms.environment.IP	string	"::"
py-kms.environment.LOGLEVEL	string	"INFO"
py-kms.environment.LOGSIZE	int	2
replicaCount	int	1
resources	object	{}
securityContext	object	{}
service.httpPort	int	80
service.kmsPort	int	1688
service.type	string	"ClusterIP"
serviceAccount	object	{}
tolerations	list	[]

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Autogenerated from chart metadata using helm-docs v1.5.0