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Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including: machine learning/deep learning, bioinformatics/genomics and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, PyTorch, MPI, etc, which Volcano integrates with.

Volcano builds upon a decade and a half of experience running a wide variety of high performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open source community.

NOTE: the scheduler is built based on kube-batch; refer to #241 and #288 for more detail.

Volcano is a sandbox project of the Cloud Native Computing Foundation (CNCF). Please consider joining the CNCF if you are an organization that wants to take an active role in supporting the growth and evolution of the cloud native ecosystem.

Overall Architecture

Talks

• Intro: Kubernetes Batch Scheduling @ KubeCon 2019 EU
• Volcano 在 Kubernetes 中运行高性能作业实践 @ ArchSummit 2019
• Volcano：基于云原生的高密计算解决方案 @ Huawei Connection 2019
• Improving Performance of Deep Learning Workloads With Volcano @ KubeCon 2019 NA
• Batch Capability of Kubernetes Intro @ KubeCon 2019 NA

Ecosystem

• Horovod/MPI
• kubeflow/tf-operator
• kubeflow/arena
• paddlepaddle
• spark-operator
• cromwell

Quick Start Guide

Prerequisites

• Kubernetes 1.12+ with CRD support

You can try Volcano by one of the following two ways.

Note:

• For Kubernetes v1.16+ use CRDs under config/crd/bases (recommended)
• For Kubernetes versions < v1.16 use CRDs under config/crd/v1beta1 (deprecated)

Install with YAML files

Install Volcano on an existing Kubernetes cluster. This way is both available for x86_64 and arm64 architecture.

For x86_64:
kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/master/installer/volcano-development.yaml

For arm64:
kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/master/installer/volcano-development-arm64.yaml

Enjoy! Volcano will create the following resources in volcano-system namespace.

NAME                                       READY   STATUS      RESTARTS   AGE
pod/volcano-admission-5bd5756f79-dnr4l     1/1     Running     0          96s
pod/volcano-admission-init-4hjpx           0/1     Completed   0          96s
pod/volcano-controllers-687948d9c8-nw4b4   1/1     Running     0          96s
pod/volcano-scheduler-94998fc64-4z8kh      1/1     Running     0          96s

NAME                                TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)   AGE
service/volcano-admission-service   ClusterIP   10.98.152.108   <none>        443/TCP   96s

NAME                                  READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/volcano-admission     1/1     1            1           96s
deployment.apps/volcano-controllers   1/1     1            1           96s
deployment.apps/volcano-scheduler     1/1     1            1           96s

NAME                                             DESIRED   CURRENT   READY   AGE
replicaset.apps/volcano-admission-5bd5756f79     1         1         1       96s
replicaset.apps/volcano-controllers-687948d9c8   1         1         1       96s
replicaset.apps/volcano-scheduler-94998fc64      1         1         1       96s

NAME                               COMPLETIONS   DURATION   AGE
job.batch/volcano-admission-init   1/1           48s        96s

Install from code

If you don't have a kubernetes cluster, try one-click install from code base:

./hack/local-up-volcano.sh

This way is only available for x86_64 temporarily.

Install monitoring system

If you want to get prometheus and grafana volcano dashboard after volcano installed, try following commands:

make TAG=latest generate-yaml
kubectl create -f _output/release/volcano-monitoring-latest.yaml

Meeting

Regular Community Meeting:

The Volcano team meets once per week on Friday, alternating between 10am Beijing Time (Convert to your timezone.) and 3pm Beijing Time (Convert to your timezone.)

Resources:

• Meeting notes and agenda
• Meeting link
• Meeting Calendar | Subscribe

Contact

If you have any question, feel free to reach out to us in the following ways:

CNCF Slack Channel

Mailing List