[DATALAB-2646] [Front-end] Create HDInsight on Azure

• Type: Task
• Status: Open
• Priority: Minor
• Resolution: Unresolved
• Component/s: DataLab Main
• Labels: AZURE Debian Front-end Github_issue RedHat
• Epic Link: DataLab Compute Engine
• Sprint: Release 2.6.0 Sprint 5, Release 2.6.0 Sprint 6
• Story Points: 5
• Assignee: Hennadii Shpak
• Reporter: Vira Vitanska
• Created: 15/Dec/21 08:17
• Updated: 17/Sep/24 10:44

Description

As a user I want to use HDInsight (Data Engine Service) on Azure in DataLab, so that I can simplify running big data frameworks.

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[Compute Engine] Feature: New Compute Engine - Azure HDInsight - EPMA-DPAF - EPAM Knowledge Base

User should be able to create HDInsight for the next types of notebooks:  Apache Zeppelin, RStudio, Jupyter.

Creation popup is below (it should be discussed by DevOps and Back-end):
1. Does HDInsight has one or two masters?
2. If HDInsight has two master do we allow user to choose slave for each master node?
3. Total instance number does include master (1/2)?
4. What can be max instance number for HDInsight?
5. Does HDInsight has particular trait which is supposed to be portrayed on WEB DataLab UI?

Instance (master/slave) size (it should be discussed by DevOps and Back-end):

For testing:
S Standard_F4s

 

Memory optimized:

S Standard_E4s_v3
 
M Standard_E16s_v3
 
L Standard_E32s_v3

 

Compute optimized:
S Standard_F2s
 
M Standard_F8s
 
L Standard_F16s

 

Issue Links

• is a child of: DATALAB-2830 Azure HDInsight: Create/Provision compute engine
• is related to: DATALAB-2645 [Back-end] Create HDInsight on Azure
• is related to: DATALAB-1408 [DevOps] Create/ Provision HDInsight on Azure