Volcano

Kubernetes-native batch scheduler for AI, big data and HPC jobs.

Provider: default
Kind: Big data cluster
Category: Compute
Official docs: https://github.com/volcano-sh/volcano

Properties · 4 set by this component

property	type	values	required	kind default	this component
autoscaling	boolean	—	no	false	▸ false
engine	enum	spark \| hadoop \| presto \| flink \| hpc \| ray \| dask \| kubernetes-batch	no	—	▸ kubernetes-batch
gangScheduling · component property	boolean	—	no	true	inherited
managed	boolean	—	no	false	▸ false
preemption · component property	boolean	—	no	—	inherited
queues · component property	integer	—	no	—	inherited
runtimeVersion	string	—	no	—	inherited
spotInstances	boolean	—	no	false	▸ false
workerNodes	integer	—	no	—	inherited
workloadFramework · component property	enum	spark \| flink \| ray \| tensorflow \| pytorch \| mpi	no	—	inherited
zoneRedundant	boolean	—	no	—	inherited

Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror

stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

— all of these hold:
— the node's `stateless` is false
— the node sits inside exactly 1 availability-zone group
— this does not hold:
— the node sits inside at least one cell group

Use it in a design

nodes:
  - { id: "volcano", component: "volcano" }

Other Big data cluster products · 25

Elastic High Performance Computingalibaba-e-hpcalibabacloudbig-data-cluster E-MapReducealibaba-e-mapreducealibabacloudbig-data-cluster AWS Clean Roomsaws-clean-roomsawsbig-data-cluster Amazon EMRaws-emrawsbig-data-cluster Amazon EMR Serverlessaws-emr-serverlessawsbig-data-cluster AWS Parallel Computing Serviceaws-pcsawsbig-data-cluster Amazon SageMaker HyperPodaws-sagemaker-hyperpodawsbig-data-cluster Azure CycleCloudazure-cyclecloudazurebig-data-cluster Azure Databricksazure-databricksazurebig-data-cluster Azure HDInsightazure-hdinsightazurebig-data-cluster Armadaarmadabig-data-cluster Generic big data clusterbig-data-clusterbig-data-cluster Daskdaskbig-data-cluster Databricksdatabricksbig-data-cluster Apache Hadoop YARNhadoop-yarnbig-data-cluster Rayraybig-data-cluster Slurmslurmbig-data-cluster Apache Spark clusterspark-clusterbig-data-cluster Cluster Directorgoogle-cluster-directorgcpbig-data-cluster Dataprocgoogle-dataprocgcpbig-data-cluster Managed Service for Apache Spark (serverless)google-dataproc-serverlessgcpbig-data-cluster IBM Analytics Engineibm-analytics-engineibmbig-data-cluster OCI AI Data Platformoci-ai-data-platformocibig-data-cluster OCI Big Data Serviceoci-big-data-serviceocibig-data-cluster OCI Data Flowoci-data-flowocibig-data-cluster

Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Volcano: Kubernetes-native batch scheduler for AI, big data and HPC jobs.
3# Facts from the Volcano project README: self-installed scheduler, controller-manager and
4# admission webhook in volcano-system; gang scheduling, queues, fair-share, preemption, backfill.
5schemaVersion: "1"
6type: "component"
7id: "volcano"
8kind: "big-data-cluster"
9provider: "default"
10docs: "https://github.com/volcano-sh/volcano"
11defaults:
12  engine: "kubernetes-batch"
13  autoscaling: false
14  spotInstances: false
15  managed: false
16properties:
17  gangScheduling:
18    type: "boolean"
19    default: true
20  workloadFramework:
21    type: "enum"
22    values: ["spark", "flink", "ray", "tensorflow", "pytorch", "mpi"]
23  queues:
24    type: "integer"
25  preemption:
26    type: "boolean"

The same page as markdown, for an agent: /catalogue/components/volcano.md