The easiest way to get started with Volcano is to download the release package from GitHub and follow the following steps:
Prerequisites
- Kubernetes 1.12+ with CRD support.
Installation Modes
- Install with YAML files
- Install from code
- Install with Helm
Install with YAML files
Install Volcano on an existing Kubernetes cluster. This way is both available for x86_64 and arm64 architecture.
kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/master/installer/volcano-development.yaml
You can also replace master of above url with specific tag/branch (such as release-1.5 branch for latest v1.5.x version, v1.5.1 tag for v1.5.1 version) to install Volcano with specific version.
Install from code
If you don’t have a Kubernetes cluster, try one-click install from code base.This way is only available for x86_64 temporarily.
# git clone https://github.com/volcano-sh/volcano.git
# tar -xvf volcano-{Version}-linux-gnu.tar.gz
# cd volcano-{Version}-linux-gnu
# ./hack/local-up-volcano.sh
Install with Helm
Helm is downloaded and installed for your cluster. For details on how to install the Helm, click here.
Step: 1
Create a new namespace.
# kubectl create namespace volcano-system
namespace/volcano-system created
Step: 2
Use Helm charts to install Volcano.
# helm install helm/chart/volcano --namespace volcano-system --name volcano
NAME: volcano
LAST DEPLOYED: Tue Jul 23 20:07:29 2019
NAMESPACE: volcano-system
STATUS: DEPLOYED
RESOURCES:
==> v1/ClusterRole
NAME AGE
volcano-admission 1s
volcano-controllers 1s
volcano-scheduler 1s
==> v1/ClusterRoleBinding
NAME AGE
volcano-admission-role 1s
volcano-controllers-role 1s
volcano-scheduler-role 1s
==> v1/ConfigMap
NAME DATA AGE
volcano-scheduler-configmap 2 1s
==> v1/Deployment
NAME READY UP-TO-DATE AVAILABLE AGE
volcano-admission 0/1 1 0 1s
volcano-controllers 0/1 1 0 1s
volcano-scheduler 0/1 1 0 1s
==> v1/Job
NAME COMPLETIONS DURATION AGE
volcano-admission-init 0/1 1s 1s
==> v1/Pod(related)
NAME READY STATUS RESTARTS AGE
volcano-admission-b45b7b76-84jmw 0/1 ContainerCreating 0 1s
volcano-admission-init-fw47j 0/1 ContainerCreating 0 1s
volcano-controllers-5f66f8d76c-27584 0/1 ContainerCreating 0 1s
volcano-scheduler-bb4467966-z642p 0/1 Pending 0 1s
==> v1/Service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
volcano-admission-service ClusterIP 10.107.128.208 <none> 443/TCP 1s
==> v1/ServiceAccount
NAME SECRETS AGE
volcano-admission 1 1s
volcano-controllers 1 1s
volcano-scheduler 1 1s
==> v1beta1/CustomResourceDefinition
NAME AGE
podgroups.scheduling.sigs.dev 1s
queues.scheduling.sigs.dev 1s
NOTES:
Thank you for installing volcano.
Your release is named volcano.
For more information on volcano, visit:
https://volcano.sh/
Verify status of Volcano components.
# kubectl get all -n volcano-system
NAME READY STATUS RESTARTS AGE
pod/volcano-admission-5bd5756f79-p89tx 1/1 Running 0 6m10s
pod/volcano-admission-init-d4dns 0/1 Completed 0 6m10s
pod/volcano-controllers-687948d9c8-bd28m 1/1 Running 0 6m10s
pod/volcano-scheduler-94998fc64-9df5g 1/1 Running 0 6m10s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/volcano-admission-service ClusterIP 10.96.140.22 <none> 443/TCP 6m10s
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/volcano-admission 1/1 1 1 6m10s
deployment.apps/volcano-controllers 1/1 1 1 6m10s
deployment.apps/volcano-scheduler 1/1 1 1 6m10s
NAME DESIRED CURRENT READY AGE
replicaset.apps/volcano-admission-5bd5756f79 1 1 1 6m10s
replicaset.apps/volcano-controllers-687948d9c8 1 1 1 6m10s
replicaset.apps/volcano-scheduler-94998fc64 1 1 1 6m10s
NAME COMPLETIONS DURATION AGE
job.batch/volcano-admission-init 1/1 28s 6m10s
After the configuration is complete, you can use Volcano to deploy the AI/ML and big data workloads.