Deploy Studio with Helm

This topic describes how to deploy Studio with Helm.

Prerequisites

Before installing Studio, you need to install the following software and ensure the correct version of the software:

Software	Requirement
Kubernetes	>= 1.14
Helm	>= 3.2.0

Install

1. Use Git to clone the source code of Studio to the host.

   $ git clone https://github.com/vesoft-inc/nebula-studio.git
   

2. Make the nebula-studio directory the current working directory.

   bash $ cd nebula-studio

3. Assume using release name:my-studio, installed Studio in Helm Chart.

   $ helm upgrade --install my-studio --set service.type=NodePort --set service.port=30070 deployment/helm
   

4. When Studio is started, use http://<node_address>:30070/ to get access to Studio.

   If you can see the Config Server page on the browser, Studio is started successfully.

   

Uninstall

 $ helm uninstall my-studio

Next to do

On the Config Server page, connect Docker-based Studio to NebulaGraph. For more information, see Connect to NebulaGraph.

Configuration

Parameter	Default value	Description
replicaCount	0	The number of replicas for Deployment.
image.nebulaStudio.name	vesoft/nebula-graph-studio	The image name of nebula-graph-studio.
image.nebulaStudio.version	v3.2.0	The image version of nebula-graph-studio.
service.type	ClusterIP	The service type, which should be one of 'NodePort', 'ClusterIP', and 'LoadBalancer'.
service.port	7001	The expose port for nebula-graph-studio's web.
service.nodePort	32701	The proxy port for accessing nebula-studio outside kubernetes cluster.
resources.nebulaStudio	{}	The resource limits/requests for nebula-studio.
persistent.storageClassName	""	The name of storageClass. The default value will be used if not specified.
persistent.size	5Gi	The persistent volume size.

---

Last update: March 13, 2023