charts

Prerequisites

Kubernetes 1.17+
Helm 3.5.4

Install Helm

Helm is a tool for managing Kubernetes charts. Charts are packages of pre-configured Kubernetes resources.

To install Helm, refer to the Helm install guide and ensure that the helm binary is in the PATH of your shell.

Using Helm

Once you have installed the Helm client, you can deploy a Helm Chart into a Kubernetes cluster.

Please refer to the Quick Start guide if you wish to get running in just a few commands, otherwise the Using Helm Guide provides detailed instructions on how to use the Helm client to manage packages on your Kubernetes cluster.

Useful Helm Client Commands:

Install a chart: helm install test-chain cita-cloud-local-cluster
List your application: helm list
Uninstall a chart: helm unintall test-chain

docs of chart

generated by helm-docs:

docker run --rm -v "$(pwd):/helm-docs" jnorwood/helm-docs:latest

introduce charts

cita-cloud-pvc - Create PVC for CITA-Cloud

helm install local-pvc ./cita-cloud-pvc

cita-cloud-local-cluster - Setup CITA-Cloud blockchain in one k8s cluster.

helm install test-chain ./cita-cloud-local-cluster

cita-cloud-config - Create a job to create/change config of CITA-Cloud blockchain in one k8s cluster

helm install increase ./cita-cloud-config --set config.action=increase --set 'config.arguments={--kms_password,123456}'

helm install decrease ./cita-cloud-config --set config.action=decrease

helm install clean ./cita-cloud-config --set config.action=clean

cita-cloud-eip - Create EIP for CITA-Cloud

$ helm install cita-cloud-eip ./cita-cloud-eip --set service.startIP=192.168.0.2 --set service.endIP=192.168.0.254

cita-cloud-porter-lb - Setup porter Loadbalancer for CITA-Cloud node

helm install test-chain-0-lb ./cita-cloud-porter-lb --set config.chainName=test-chain --set config.nodeIndex=0 --set service.port=30000 --set service.eipName=cita-cloud-eip

cita-cloud-multi-cluster-node - Setup CITA-Cloud node in multi k8s cluster

Note: You should generate and dispatch config of CITA-Cloud blockchain to multi k8s cluster at first.