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Catalogue / big-data-cluster

AWS Parallel Computing Service

awsBig data clusteraws-pcs

A managed Slurm HPC cluster whose controller is operated by AWS and whose nodes run in your VPC.

Provider
aws
Kind
Big data cluster
Category
Compute
Official docs
https://docs.aws.amazon.com/pcs/latest/userguide/what-is-pcs.html
Properties · 2 set by this component
propertytypevaluesrequiredkind defaultthis component
autoscalingboolean—nofalseinherited
clusterSize · component propertyenumsmall | medium | largeno—inherited
engineenumspark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batchno—▸ hpc
managedboolean—nofalse▸ true
maxManagedInstances · component propertyinteger—no32inherited
runtimeVersionstring—no—inherited
scheduler · component propertyenumslurmnoslurminherited
sizeFixedAtCreation · component propertyboolean—notrueinherited
spotInstancesboolean—nofalseinherited
workerNodesinteger—no—inherited
zoneRedundantboolean—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: "pcs", component: "aws-pcs" }
Other Big data cluster products · 25
Elastic High Performance Computingalibaba-e-hpcalibabacloudbig-data-clusterE-MapReducealibaba-e-mapreducealibabacloudbig-data-clusterAWS Clean Roomsaws-clean-roomsawsbig-data-clusterAmazon EMRaws-emrawsbig-data-clusterAmazon EMR Serverlessaws-emr-serverlessawsbig-data-clusterAmazon SageMaker HyperPodaws-sagemaker-hyperpodawsbig-data-clusterAzure CycleCloudazure-cyclecloudazurebig-data-clusterAzure Databricksazure-databricksazurebig-data-clusterAzure HDInsightazure-hdinsightazurebig-data-clusterArmadaarmadabig-data-clusterGeneric big data clusterbig-data-clusterbig-data-clusterDaskdaskbig-data-clusterDatabricksdatabricksbig-data-clusterApache Hadoop YARNhadoop-yarnbig-data-clusterRayraybig-data-clusterSlurmslurmbig-data-clusterApache Spark clusterspark-clusterbig-data-clusterVolcanovolcanobig-data-clusterCluster Directorgoogle-cluster-directorgcpbig-data-clusterDataprocgoogle-dataprocgcpbig-data-clusterManaged Service for Apache Spark (serverless)google-dataproc-serverlessgcpbig-data-clusterIBM Analytics Engineibm-analytics-engineibmbig-data-clusterOCI AI Data Platformoci-ai-data-platformocibig-data-clusterOCI Big Data Serviceoci-big-data-serviceocibig-data-clusterOCI Data Flowoci-data-flowocibig-data-cluster
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# AWS Parallel Computing Service: a managed Slurm HPC cluster whose controller runs in an AWS-owned
# account while the compute nodes run on EC2 in your VPC ("AWS PCS clusters"). Cluster size is fixed
# at creation and caps managed instances and tracked jobs: Small 32/256, Medium 512/8192,
# Large 2048/16384 ("Cluster size in AWS PCS").
schemaVersion: "1"
type: "component"
id: "aws-pcs"
kind: "big-data-cluster"
provider: "aws"
docs: "https://docs.aws.amazon.com/pcs/latest/userguide/what-is-pcs.html"
defaults:
  managed: true
  engine: "hpc"
properties:
  scheduler:
    type: "enum"
    values: ["slurm"]
    default: "slurm"
  clusterSize:
    type: "enum"
    values: ["small", "medium", "large"]
  maxManagedInstances:
    type: "integer"
    default: 32
  sizeFixedAtCreation:
    type: "boolean"
    default: true

The same page as markdown, for an agent: /catalogue/components/aws-pcs.md