IBM Analytics Engine

ibm Big data clusteribm-analytics-engine

Serverless Apache Spark clusters created per application, reading and writing object storage.

Provider: ibm
Kind: Big data cluster
Category: Compute
Official docs: https://cloud.ibm.com/docs/AnalyticsEngine

Properties · 3 set by this component

property	type	values	required	kind default	this component
autoscaling	boolean	—	no	false	▸ true
engine	enum	spark \| hadoop \| presto \| flink \| hpc \| ray \| dask \| kubernetes-batch	no	—	▸ spark
managed	boolean	—	no	false	▸ true
provisioning · component property	enum	serverless	no	serverless	inherited
runtimeVersion	string	—	no	—	inherited
spotInstances	boolean	—	no	false	inherited
storage · component property	enum	object-storage	no	object-storage	inherited
workerNodes	integer	—	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: "analytics-engine", component: "ibm-analytics-engine" }

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 Volcanovolcanobig-data-cluster Cluster Directorgoogle-cluster-directorgcpbig-data-cluster Dataprocgoogle-dataprocgcpbig-data-cluster Managed Service for Apache Spark (serverless)google-dataproc-serverlessgcpbig-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# IBM Analytics Engine: serverless Apache Spark clusters that are created for an application and
3# released when it ends, reading and writing data in IBM Cloud Object Storage rather than in
4# cluster-local HDFS ("IBM Analytics Engine").
5schemaVersion: "1"
6type: "component"
7id: "ibm-analytics-engine"
8kind: "big-data-cluster"
9provider: "ibm"
10docs: "https://cloud.ibm.com/docs/AnalyticsEngine"
11defaults:
12  managed: true
13  engine: "spark"
14  autoscaling: true
15properties:
16  provisioning:
17    type: "enum"
18    values: ["serverless"]
19    default: "serverless"
20  storage:
21    type: "enum"
22    values: ["object-storage"]
23    default: "object-storage"

The same page as markdown, for an agent: /catalogue/components/ibm-analytics-engine.md