[jira] [Created] (DLAB-2071) [Azure]: It's impossible to do any action via ungit

2020-09-22 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-2071:
---

 Summary: [Azure]: It's impossible to do any action via ungit
 Key: DLAB-2071
 URL: https://issues.apache.org/jira/browse/DLAB-2071
 Project: Apache DLab
  Issue Type: Bug
  Components: Data Lab Main
Affects Versions: v.2.4
Reporter: Vira Vitanska
 Attachments: image-2020-09-22-13-46-33-992.png

*Preconditions:*
 # Jupyter (or the other notebook) is created
 # Git credentials are added (gitlab)

*Steps to reproduce:*

1. Clone repo via ungit

*Actual result:*
 # There is an error

{code:java}
 File "/root/scripts/common_download_git_certfile.py", line 53, in 
    if AzureActions().download_from_container(resource_group_name, 
ssn_storage_account_name, container_name, gitlab_certfile):
NameError: name 'ssn_storage_account_name' is not defined
{code}
*Expected result:*
 # There isn't any error




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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Attachment: (was: Azure Rstudio local.png)

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error
> ---
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: image-2020-09-22-13-23-03-877.png
>
>
> *Preconditions:*
> 1. RStudio is created on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R 
> *Actual result:*
> 1. Playbook runs with error:
> Error in read.df(bucket_path("carriers.csv"), "csv", header = "true",  : 
>   could not find function "read.df"
>  *Expected result:*
>  # Playbook runs successfully
>  
>   



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Attachment: (was: EMR.png)

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error
> ---
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: image-2020-09-22-13-23-03-877.png
>
>
> *Preconditions:*
> 1. RStudio is created on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R 
> *Actual result:*
> 1. Playbook runs with error:
> Error in read.df(bucket_path("carriers.csv"), "csv", header = "true",  : 
>   could not find function "read.df"
>  *Expected result:*
>  # Playbook runs successfully
>  
>   



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Description: 
*Preconditions:*

1. RStudio is created on  Azure 

*Steps to reproduce:*

1. Run Flight_data_Preparation_R 

*Actual result:*

1. Playbook runs with error:
Error in read.df(bucket_path("carriers.csv"), "csv", header = "true",  : 
  could not find function "read.df"

 *Expected result:*
 # Playbook runs successfully

 
  

  was:
*Preconditions:*

1. RStudio iscreated on  Azure 

*Steps to reproduce:*

1. Run Flight_data_Preparation_R for local/remote kernels

*Actual result:*

1. Playbook runs with error:
 Java version 8 is required for this package; found version: 11.0.7
 *Expected result:*
 # Playbook runs successfully

 
 


> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error
> ---
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: image-2020-09-22-13-23-03-877.png
>
>
> *Preconditions:*
> 1. RStudio is created on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R 
> *Actual result:*
> 1. Playbook runs with error:
> Error in read.df(bucket_path("carriers.csv"), "csv", header = "true",  : 
>   could not find function "read.df"
>  *Expected result:*
>  # Playbook runs successfully
>  
>   



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Attachment: (was: Spark-local.png)

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error
> ---
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: image-2020-09-22-13-23-03-877.png
>
>
> *Preconditions:*
> 1. RStudio is created on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R 
> *Actual result:*
> 1. Playbook runs with error:
> Error in read.df(bucket_path("carriers.csv"), "csv", header = "true",  : 
>   could not find function "read.df"
>  *Expected result:*
>  # Playbook runs successfully
>  
>   



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Attachment: image-2020-09-22-13-23-03-877.png

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error
> ---
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: Azure Rstudio local.png, EMR.png, Spark-local.png, 
> image-2020-09-22-13-23-03-877.png
>
>
> *Preconditions:*
> 1. RStudio iscreated on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R for local/remote kernels
> *Actual result:*
> 1. Playbook runs with error:
>  Java version 8 is required for this package; found version: 11.0.7
>  *Expected result:*
>  # Playbook runs successfully
>  
>  



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error for local/remote kernels

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Attachment: (was: AWS-RStudio-hadoop.png)

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error for local/remote kernels
> 
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: Azure Rstudio local.png, EMR.png, Spark-local.png
>
>
> *Preconditions:*
> 1. RStudio iscreated on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R for local/remote kernels
> *Actual result:*
> 1. Playbook runs with error:
>  Java version 8 is required for this package; found version: 11.0.7
>  *Expected result:*
>  # Playbook runs successfully
>  
>  



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error for local/remote kernels

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Labels: AZURE Debian DevOps Known_issues(release2.4)  (was: AZURE Debian 
DevOps)

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error for local/remote kernels
> 
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: Azure Rstudio local.png, EMR.png, Spark-local.png
>
>
> *Preconditions:*
> 1. RStudio iscreated on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R for local/remote kernels
> *Actual result:*
> 1. Playbook runs with error:
>  Java version 8 is required for this package; found version: 11.0.7
>  *Expected result:*
>  # Playbook runs successfully
>  
>  



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[jira] [Updated] (DLAB-1867) [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with error

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1867:

Summary: [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R 
run with error  (was: [Branch-515][Azure][RStudio]: Playbook 
Flight_data_Preparation_R run with error for local/remote kernels)

> [Branch-515][Azure][RStudio]: Playbook Flight_data_Preparation_R run with 
> error
> ---
>
> Key: DLAB-1867
> URL: https://issues.apache.org/jira/browse/DLAB-1867
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
> Environment: Branch-515
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AZURE, Debian, DevOps, Known_issues(release2.4)
> Attachments: Azure Rstudio local.png, EMR.png, Spark-local.png
>
>
> *Preconditions:*
> 1. RStudio iscreated on  Azure 
> *Steps to reproduce:*
> 1. Run Flight_data_Preparation_R for local/remote kernels
> *Actual result:*
> 1. Playbook runs with error:
>  Java version 8 is required for this package; found version: 11.0.7
>  *Expected result:*
>  # Playbook runs successfully
>  
>  



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[jira] [Updated] (DLAB-2067) [DevOps]: Replace old name by new one in all sources

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2067:

Description: 
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.

In sources instead of 'dlab' use 'data-lab'.

  was:
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.


> [DevOps]: Replace old name by new one in all sources
> 
>
> Key: DLAB-2067
> URL: https://issues.apache.org/jira/browse/DLAB-2067
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.
> In sources instead of 'dlab' use 'data-lab'.



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[jira] [Updated] (DLAB-2066) [Back-end]: Replace old name by new one in all sources

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2066:

Description: 
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.

In sources instead of 'dlab' use 'data-lab'.

  was:
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.


> [Back-end]: Replace old name by new one in all sources
> --
>
> Key: DLAB-2066
> URL: https://issues.apache.org/jira/browse/DLAB-2066
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.
> In sources instead of 'dlab' use 'data-lab'.



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[jira] [Updated] (DLAB-2068) [Front-end]: Replace old name by new one in all sources

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2068:

Description: 
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.

In sources instead of 'dlab' use 'data-lab'.

  was:
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.


> [Front-end]: Replace old name by new one in all sources
> ---
>
> Key: DLAB-2068
> URL: https://issues.apache.org/jira/browse/DLAB-2068
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.
> In sources instead of 'dlab' use 'data-lab'.



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[jira] [Assigned] (DLAB-2067) [DevOps]: Replace old name by new one in all sources

2020-09-22 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska reassigned DLAB-2067:
---

Assignee: Mykola Bodnar  (was: Leonid Frolov)

> [DevOps]: Replace old name by new one in all sources
> 
>
> Key: DLAB-2067
> URL: https://issues.apache.org/jira/browse/DLAB-2067
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.



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[jira] [Updated] (DLAB-772) [Data Lab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User Tag, Custom Tags

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-772:
---
Epic Name: [Data Lab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, 
User Tag, Custom Tags  (was: [DLab tags]: Data Lab tag, Cloud Endpoint Tag, 
Project Tag, User Tag, Custom Tags)
  Summary: [Data Lab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, 
User Tag, Custom Tags  (was: [DLab tags]: Data Lab tag, Cloud Endpoint Tag, 
Project Tag, User Tag, Custom Tags)

> [Data Lab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User Tag, 
> Custom Tags
> -
>
> Key: DLAB-772
> URL: https://issues.apache.org/jira/browse/DLAB-772
> Project: Apache DLab
>  Issue Type: Epic
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> *_Types of tags:_*
>  * *_Data Lab Tag / SBN name:_*
> o    _auto-assigned tag (current behavior)_
>  * *_endpoint_tag:_*
> o    _manual input from Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_project_tag:_*
> o    _manual input from Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_user_tag:_*
> o    _Autogenerated_
> o    _format: [user_n...@domain.com]_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_custom_tag:_*
> o    _manual input from Web UI, can be changed from Web UI_
> o    _can be changed on Web UI, should be visible on Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  __ 
>  # _Admin created Endpoint1 with *endpoint_tag:Endpoint1*_
>  # _All resources within Endpoint (notebook, cluster) 
> obtain*endpoint_tag:Endpoint1*_
>  # _Admin created Project1 with *project_tag:Project1* and assign Endpoint1 
> to that project_
>  # _All resources within Endpoint (notebook, cluster) obtain additional tag 
> *project_tag:Project1*_
>  # _User1 created notebook within Project1 with custom*custom_tag:Custom1*_
>  # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project1, 
> user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
> custom_tag:custom1*_
>  # _Admin created Project 2 with *project_tag:Project2* and assign Endpoint1 
> to that project_
>  # _All resources within Endpoint (notebook, cluster) obtain additional tag 
> *project_tag:Project2*_
>  # _User1 creates notebook within Project2 with custom*custom_tag:Custom2*_
>  # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project2, 
> user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
> custom_tag:custom2*_



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[jira] [Updated] (DLAB-772) [DLab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User Tag, Custom Tags

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-772:
---
Description: 
*_Types of tags:_*
 * *_Data Lab Tag / SBN name:_*

o    _auto-assigned tag (current behavior)_
 * *_endpoint_tag:_*

o    _manual input from Web UI_

o    _assigned to notebooks, clusters, including Service data engines_
 * *_project_tag:_*

o    _manual input from Web UI_

o    _assigned to notebooks, clusters, including Service data engines_
 * *_user_tag:_*

o    _Autogenerated_

o    _format: [user_n...@domain.com]_

o    _assigned to notebooks, clusters, including Service data engines_
 * *_custom_tag:_*

o    _manual input from Web UI, can be changed from Web UI_

o    _can be changed on Web UI, should be visible on Web UI_

o    _assigned to notebooks, clusters, including Service data engines_

 __ 
 # _Admin created Endpoint1 with *endpoint_tag:Endpoint1*_
 # _All resources within Endpoint (notebook, cluster) 
obtain*endpoint_tag:Endpoint1*_
 # _Admin created Project1 with *project_tag:Project1* and assign Endpoint1 to 
that project_
 # _All resources within Endpoint (notebook, cluster) obtain additional tag 
*project_tag:Project1*_
 # _User1 created notebook within Project1 with custom*custom_tag:Custom1*_
 # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project1, 
user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
custom_tag:custom1*_
 # _Admin created Project 2 with *project_tag:Project2* and assign Endpoint1 to 
that project_
 # _All resources within Endpoint (notebook, cluster) obtain additional tag 
*project_tag:Project2*_
 # _User1 creates notebook within Project2 with custom*custom_tag:Custom2*_
 # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project2, 
user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
custom_tag:custom2*_

  was:
*_Types of tags:_*
 * *_DLab Tag / SBN name:_*

o    _auto-assigned tag (current behavior)_
 * *_endpoint_tag:_*

o    _manual input from Web UI_

o    _assigned to notebooks, clusters, including Service data engines_
 * *_project_tag:_*

o    _manual input from Web UI_

o    _assigned to notebooks, clusters, including Service data engines_
 * *_user_tag:_*

o    _Autogenerated_

o    _format: [user_n...@domain.com]_

o    _assigned to notebooks, clusters, including Service data engines_
 * *_custom_tag:_*

o    _manual input from Web UI, can be changed from Web UI_

o    _can be changed on Web UI, should be visible on Web UI_

o    _assigned to notebooks, clusters, including Service data engines_

 __ 
 # _Admin created Endpoint1 with *endpoint_tag:Endpoint1*_
 # _All resources within Endpoint (notebook, cluster) 
obtain*endpoint_tag:Endpoint1*_
 # _Admin created Project1 with *project_tag:Project1* and assign Endpoint1 to 
that project_
 # _All resources within Endpoint (notebook, cluster) obtain additional tag 
*project_tag:Project1*_
 # _User1 created notebook within Project1 with custom*custom_tag:Custom1*_
 # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project1, 
user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
custom_tag:custom1*_
 # _Admin created Project 2 with *project_tag:Project2* and assign Endpoint1 to 
that project_
 # _All resources within Endpoint (notebook, cluster) obtain additional tag 
*project_tag:Project2*_
 # _User1 creates notebook within Project2 with custom*custom_tag:Custom2*_
 # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project2, 
user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
custom_tag:custom2*_


> [DLab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User Tag, Custom 
> Tags
> -
>
> Key: DLAB-772
> URL: https://issues.apache.org/jira/browse/DLAB-772
> Project: Apache DLab
>  Issue Type: Epic
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> *_Types of tags:_*
>  * *_Data Lab Tag / SBN name:_*
> o    _auto-assigned tag (current behavior)_
>  * *_endpoint_tag:_*
> o    _manual input from Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_project_tag:_*
> o    _manual input from Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_user_tag:_*
> o    _Autogenerated_
> o    _format: [user_n...@domain.com]_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_custom_tag:_*
> o    _manual input from Web UI, can be changed from Web UI_
> o    _can be changed on Web UI, should be visible on Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  __ 
>  # _Admin created Endpoint1 with *endpoint_tag:Endpoint1*_
>  # _All resources within 

[jira] [Updated] (DLAB-629) Implement Data Lab main Component

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-629:
---
Epic Name: Implement Data Lab main Component  (was: Implement DLab main 
Component)
  Summary: Implement Data Lab main Component  (was: Implement DLab main 
Component)

> Implement Data Lab main Component
> -
>
> Key: DLAB-629
> URL: https://issues.apache.org/jira/browse/DLAB-629
> Project: Apache DLab
>  Issue Type: Epic
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>




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[jira] [Updated] (DLAB-772) [DLab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User Tag, Custom Tags

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-772:
---
Epic Name: [DLab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User 
Tag, Custom Tags  (was: [DLab tags]: DLab tag, Cloud Endpoint Tag, Project Tag, 
User Tag, Custom Tags)
  Summary: [DLab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User 
Tag, Custom Tags  (was: [DLab tags]: DLab tag, Cloud Endpoint Tag, Project Tag, 
User Tag, Custom Tags)

> [DLab tags]: Data Lab tag, Cloud Endpoint Tag, Project Tag, User Tag, Custom 
> Tags
> -
>
> Key: DLAB-772
> URL: https://issues.apache.org/jira/browse/DLAB-772
> Project: Apache DLab
>  Issue Type: Epic
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> *_Types of tags:_*
>  * *_DLab Tag / SBN name:_*
> o    _auto-assigned tag (current behavior)_
>  * *_endpoint_tag:_*
> o    _manual input from Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_project_tag:_*
> o    _manual input from Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_user_tag:_*
> o    _Autogenerated_
> o    _format: [user_n...@domain.com]_
> o    _assigned to notebooks, clusters, including Service data engines_
>  * *_custom_tag:_*
> o    _manual input from Web UI, can be changed from Web UI_
> o    _can be changed on Web UI, should be visible on Web UI_
> o    _assigned to notebooks, clusters, including Service data engines_
>  __ 
>  # _Admin created Endpoint1 with *endpoint_tag:Endpoint1*_
>  # _All resources within Endpoint (notebook, cluster) 
> obtain*endpoint_tag:Endpoint1*_
>  # _Admin created Project1 with *project_tag:Project1* and assign Endpoint1 
> to that project_
>  # _All resources within Endpoint (notebook, cluster) obtain additional tag 
> *project_tag:Project1*_
>  # _User1 created notebook within Project1 with custom*custom_tag:Custom1*_
>  # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project1, 
> user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
> custom_tag:custom1*_
>  # _Admin created Project 2 with *project_tag:Project2* and assign Endpoint1 
> to that project_
>  # _All resources within Endpoint (notebook, cluster) obtain additional tag 
> *project_tag:Project2*_
>  # _User1 creates notebook within Project2 with custom*custom_tag:Custom2*_
>  # _That notebook obtains: *endpoint_tag:Endpoint1, project_tag:Project2, 
> user_tag:[user_na...@domain.com|mailto:user_na...@domain.com], 
> custom_tag:custom2*_



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[jira] [Updated] (DLAB-507) Upgrade Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-507:
---
Epic Name: Upgrade Data Lab  (was: Upgrade DLab)
  Summary: Upgrade Data Lab  (was: Upgrade DLab)

> Upgrade Data Lab
> 
>
> Key: DLAB-507
> URL: https://issues.apache.org/jira/browse/DLAB-507
> Project: Apache DLab
>  Issue Type: Epic
>Reporter: Vira Vitanska
>Priority: Major
>




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[jira] [Updated] (DLAB-506) Data Lab tech-debt

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-506:
---
Summary: Data Lab tech-debt  (was: Data Lab-debt)

> Data Lab tech-debt
> --
>
> Key: DLAB-506
> URL: https://issues.apache.org/jira/browse/DLAB-506
> Project: Apache DLab
>  Issue Type: Epic
>Reporter: Vira Vitanska
>Priority: Major
>




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[jira] [Updated] (DLAB-506) Data Lab-debt

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-506:
---
Epic Name: Data Lab tech-debt  (was: DLab tech-debt)
  Summary: Data Lab-debt  (was: Tech-debt)

> Data Lab-debt
> -
>
> Key: DLAB-506
> URL: https://issues.apache.org/jira/browse/DLAB-506
> Project: Apache DLab
>  Issue Type: Epic
>Reporter: Vira Vitanska
>Priority: Major
>




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[jira] [Updated] (DLAB-1569) [Data Lab+Odahu]: User is not allowed to create computational resource

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1569:

Summary: [Data Lab+Odahu]: User is not allowed to create computational 
resource  (was: [Dlab+Odahu]: User is not allowed to create computational 
resource)

> [Data Lab+Odahu]: User is not allowed to create computational resource
> --
>
> Key: DLAB-1569
> URL: https://issues.apache.org/jira/browse/DLAB-1569
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
> Fix For: v.2.5
>
> Attachments: odahu.png
>
>
> *Preconditions:*
>  # SSN is created from odahu-integration branch
>  # Notebook is in running status
> *Steps to reproduce:*
> 1. Create computational resource
> *Actual result:*
> 1. User is not allowed to create computational resource
> Expected result:
> 1. User is  allowed to create computational resource
>  



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[jira] [Updated] (DLAB-1356) [Back-end]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1356:

Description: 
Who manages Legion provisioning:
 * Admin or Data Lab user?

1. Legion cluster will be deployed per project-endpoint
 2. Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - -Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")-
 - -Select number of shapes-
 - -Select instance shape-
 - -Select certificate? +(check with Vitalii Solodinov)+-
 ## Data Lab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

  was:
Who manages Legion provisioning:
 * Admin or DLab user?

1. Legion cluster will be deployed per project-endpoint
 2. Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - -Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")-
 - -Select number of shapes-
 - -Select instance shape-
 - -Select certificate? +(check with Vitalii Solodinov)+-
 ## DLab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"


> [Back-end]: Odahu (Legion) management in Data Lab
> -
>
> Key: DLAB-1356
> URL: https://issues.apache.org/jira/browse/DLAB-1356
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or Data Lab user?
> 1. Legion cluster will be deployed per project-endpoint
>  2. Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - -Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")-
>  - -Select number of shapes-
>  - -Select instance shape-
>  - -Select certificate? +(check with Vitalii Solodinov)+-
>  ## Data Lab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from 

[jira] [Updated] (DLAB-556) [Create DataLabcli]: Create python common logger

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-556:
---
Summary: [Create DataLabcli]: Create python common logger  (was: [Create 
dlabcli]: Create python common logger)

> [Create DataLabcli]: Create python common logger
> 
>
> Key: DLAB-556
> URL: https://issues.apache.org/jira/browse/DLAB-556
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: 2.3_old, AWS, AZURE, Debian, GCP, RedHat
>




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[jira] [Updated] (DLAB-1356) [Back-end]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1356:

Summary: [Back-end]: Odahu (Legion) management in Data Lab  (was: 
[Back-end]: Odahu (Legion) management in DLab)

> [Back-end]: Odahu (Legion) management in Data Lab
> -
>
> Key: DLAB-1356
> URL: https://issues.apache.org/jira/browse/DLAB-1356
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or DLab user?
> 1. Legion cluster will be deployed per project-endpoint
>  2. Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - -Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")-
>  - -Select number of shapes-
>  - -Select instance shape-
>  - -Select certificate? +(check with Vitalii Solodinov)+-
>  ## DLab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT gateway
>  ## Need Legion team to use Edge IP instead (proxy)
>  - Buckets (visible = false)
>  ## Bucket for Feedback (use Project bucket)
>  ### Legion should access bucket name as parameter
>  ## Bucket for State of Terraform (use Project bucket)
>  ### Legion should access bucket name as parameter
>  - Container registry (pass a parameter?)
>  # Security params (keycloak, oauth and ssh key)
>  # Repos (docker repo and creds, helm repos)
> 3. Under List of Resource page
>  # Show additional column with Legion icon near every notebook
>  # When use clicks on it -> popup shows up containing following information:
>  ## URL for feedback storage
>  ## URL for Swagger API registry
>  ## URL for Grafana
>  ## Etc
>  # Extend current Actions menu for JupyterLab only with action "Attach Legion"



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[jira] [Updated] (DLAB-564) [Create DataLabcli]: Unit tests

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-564:
---
Summary: [Create DataLabcli]: Unit tests  (was: [Create dlabcli]: Unit 
tests)

> [Create DataLabcli]: Unit tests
> ---
>
> Key: DLAB-564
> URL: https://issues.apache.org/jira/browse/DLAB-564
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Old
>Reporter: Vira Vitanska
>Priority: Minor
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>




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[jira] [Updated] (DLAB-566) [Create DataLabcli]: Migration on wiki

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-566:
---
Summary: [Create DataLabcli]: Migration on wiki  (was: [Create dlabcli]: 
Migration on wiki)

> [Create DataLabcli]: Migration on wiki
> --
>
> Key: DLAB-566
> URL: https://issues.apache.org/jira/browse/DLAB-566
> Project: Apache DLab
>  Issue Type: Task
>Reporter: Vira Vitanska
>Priority: Minor
>  Labels: 2.3_old
>




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[jira] [Updated] (DLAB-567) [Create DataLabcli]: Rebuild dockers script (versioning)

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-567?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-567:
---
Summary: [Create DataLabcli]: Rebuild dockers script (versioning)   (was: 
[Create dlabcli]: Rebuild dockers script (versioning) )

> [Create DataLabcli]: Rebuild dockers script (versioning) 
> -
>
> Key: DLAB-567
> URL: https://issues.apache.org/jira/browse/DLAB-567
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Old
>Reporter: Vira Vitanska
>Priority: Minor
>  Labels: 2.3_old, AWS, AZURE, Debian, GCP, RedHat
>




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[jira] [Updated] (DLAB-1048) [Terraform]: Add possibility to login Data Lab via 443 port

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1048:

Description: 
As an user I want to use TLS/SSL during login Data Lab,  so that I can be 
provided by communications security.

Currently user can login Data Lab via 80 port.

Please, add possibility to login via 443 port.

  was:
As an user I want to use TLS/SSL during login DLab,  so that I can be provided 
by communications security.

Currently user can login DLab via 80 port.

Please, add possibility to login via 443 port.


> [Terraform]: Add possibility to login Data Lab via 443 port
> ---
>
> Key: DLAB-1048
> URL: https://issues.apache.org/jira/browse/DLAB-1048
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: 2.3_old, AWS, Debian, DevOps
>
> As an user I want to use TLS/SSL during login Data Lab,  so that I can be 
> provided by communications security.
> Currently user can login Data Lab via 80 port.
> Please, add possibility to login via 443 port.



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[jira] [Updated] (DLAB-568) [Create DataLabcli]: Provide possibility to manage infrastructure flows (control deployment procedure)

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-568?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-568:
---
Summary: [Create DataLabcli]: Provide possibility to manage infrastructure 
flows (control deployment procedure)  (was: [Create dlabcli]: Provide 
possibility to manage infrastructure flows (control deployment procedure))

> [Create DataLabcli]: Provide possibility to manage infrastructure flows 
> (control deployment procedure)
> --
>
> Key: DLAB-568
> URL: https://issues.apache.org/jira/browse/DLAB-568
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Priority: Minor
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>




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[jira] [Updated] (DLAB-1111) [DevOps]: Embed shared image functionality on Data Lab UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-:

Summary: [DevOps]: Embed shared image functionality on Data Lab UI  (was: 
[DevOps]: Embed shared image functionality on DLab UI)

> [DevOps]: Embed shared image functionality on Data Lab UI
> -
>
> Key: DLAB-
> URL: https://issues.apache.org/jira/browse/DLAB-
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: 2.3_old, AWS, AZURE, Debian, DevOps, GCP, RedHat
>
> As an admin I want to turn on/off of using shared image in project setting so 
> that I can easily switch without changing configuration files via SSH.



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[jira] [Updated] (DLAB-1048) [Terraform]: Add possibility to login Data Lab via 443 port

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1048:

Summary: [Terraform]: Add possibility to login Data Lab via 443 port  (was: 
[Terraform]: Add possibility to login DLab via 443 port)

> [Terraform]: Add possibility to login Data Lab via 443 port
> ---
>
> Key: DLAB-1048
> URL: https://issues.apache.org/jira/browse/DLAB-1048
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: 2.3_old, AWS, Debian, DevOps
>
> As an user I want to use TLS/SSL during login DLab,  so that I can be 
> provided by communications security.
> Currently user can login DLab via 80 port.
> Please, add possibility to login via 443 port.



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[jira] [Updated] (DLAB-1110) [Back-end][Part1]: Embed shared image functionality on Data Lab UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1110:

Summary: [Back-end][Part1]: Embed shared image functionality on Data Lab UI 
 (was: [Back-end][Part1]: Embed shared image functionality on DLab UI)

> [Back-end][Part1]: Embed shared image functionality on Data Lab UI
> --
>
> Key: DLAB-1110
> URL: https://issues.apache.org/jira/browse/DLAB-1110
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat, 
> pull-request-available
> Fix For: v.2.3
>
>  Time Spent: 20m
>  Remaining Estimate: 0h
>
> As an admin I want to turn on/off of using shared image in project setting so 
> that I can easily switch without changing configuration files via SSH.



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[jira] [Updated] (DLAB-1154) [Data Lab-terraform][KeyCloak]: Convey SBN value during deploy SSN

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1154:

Summary: [Data Lab-terraform][KeyCloak]: Convey SBN value during deploy SSN 
 (was: [DLAB-terraform][KeyCloak]: Convey SBN value during deploy SSN)

> [Data Lab-terraform][KeyCloak]: Convey SBN value during deploy SSN
> --
>
> Key: DLAB-1154
> URL: https://issues.apache.org/jira/browse/DLAB-1154
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: 2.3_old, AWS, AZURE, Debian, DevOps, GCP, RedHat
> Attachments: SBN.png
>
>
> DLAB-terraform branch.



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[jira] [Updated] (DLAB-1283) User1 is auto logged out DLab on cloud1 after manually logout Data Lab on cloud2 only in the same browser

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1283:

Description: 
*Preconditions:*
 # User1 is logged in Data Lab1 on cloud1 on Chrome browser
 # User1 is logged in Data Lab2 on cloud2 on Chrome browser

*Steps to reproduce:*

1. User1 logs out  Data Lab1 on cloud1 on Chrome browser

*Actual result:*
 # User1 is auto logged out Data Lab2 on cloud2 on Chrome browser

*Expected result:*
 # User1 is still logged in Data Lab2 on cloud2 on Chrome browser

  was:
*Preconditions:*
 # User1 is logged in DLab1 on cloud1 on Chrome browser
 # User1 is logged in DLab2 on cloud2 on Chrome browser

*Steps to reproduce:*

1. User1 logs out  DLab1 on cloud1 on Chrome browser

*Actual result:*
 # User1 is auto logged out DLab2 on cloud2 on Chrome browser

*Expected result:*
 # User1 is still logged in DLab2 on cloud2 on Chrome browser


> User1 is auto logged out DLab on cloud1 after manually logout Data Lab on 
> cloud2 only in the same browser
> -
>
> Key: DLAB-1283
> URL: https://issues.apache.org/jira/browse/DLAB-1283
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: 2.3_old, AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.3
>
> Attachments: AWS log out.png, Azure log out.png, Error 400.png
>
>
> *Preconditions:*
>  # User1 is logged in Data Lab1 on cloud1 on Chrome browser
>  # User1 is logged in Data Lab2 on cloud2 on Chrome browser
> *Steps to reproduce:*
> 1. User1 logs out  Data Lab1 on cloud1 on Chrome browser
> *Actual result:*
>  # User1 is auto logged out Data Lab2 on cloud2 on Chrome browser
> *Expected result:*
>  # User1 is still logged in Data Lab2 on cloud2 on Chrome browser



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[jira] [Updated] (DLAB-1355) Investigate possibility of using SageMaker in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1355?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1355:

Summary: Investigate possibility of using SageMaker in Data Lab  (was: 
Investigate possibility of using SageMaker in DLab)

> Investigate possibility of using SageMaker in Data Lab
> --
>
> Key: DLAB-1355
> URL: https://issues.apache.org/jira/browse/DLAB-1355
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Volodymyr Veres
>Priority: Major
>  Labels: AWS
>




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[jira] [Updated] (DLAB-1283) User1 is auto logged out DLab on cloud1 after manually logout Data Lab on cloud2 only in the same browser

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1283:

Summary: User1 is auto logged out DLab on cloud1 after manually logout Data 
Lab on cloud2 only in the same browser  (was: User1 is auto logged out DLab on 
cloud1 after manually logout Dlab on cloud2 only in the same browser)

> User1 is auto logged out DLab on cloud1 after manually logout Data Lab on 
> cloud2 only in the same browser
> -
>
> Key: DLAB-1283
> URL: https://issues.apache.org/jira/browse/DLAB-1283
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: 2.3_old, AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.3
>
> Attachments: AWS log out.png, Azure log out.png, Error 400.png
>
>
> *Preconditions:*
>  # User1 is logged in DLab1 on cloud1 on Chrome browser
>  # User1 is logged in DLab2 on cloud2 on Chrome browser
> *Steps to reproduce:*
> 1. User1 logs out  DLab1 on cloud1 on Chrome browser
> *Actual result:*
>  # User1 is auto logged out DLab2 on cloud2 on Chrome browser
> *Expected result:*
>  # User1 is still logged in DLab2 on cloud2 on Chrome browser



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[jira] [Updated] (DLAB-1342) [KeyCloak] :Create script for client termination which are deployed by Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1342?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1342:

Summary: [KeyCloak] :Create script for client termination which are 
deployed by Data Lab  (was: [KeyCloak] :Create script for client termination 
which are deployed by DLab)

> [KeyCloak] :Create script for client termination which are deployed by Data 
> Lab
> ---
>
> Key: DLAB-1342
> URL: https://issues.apache.org/jira/browse/DLAB-1342
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: 2.3_old, AWS, AZURE, Debian, DevOps, GCP, RedHat
>




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[jira] [Updated] (DLAB-1354) Investigate possibility of using databricks in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1354:

Summary: Investigate possibility of using databricks in Data Lab  (was: 
Investigate possibility of using databricks in DLab)

> Investigate possibility of using databricks in Data Lab
> ---
>
> Key: DLAB-1354
> URL: https://issues.apache.org/jira/browse/DLAB-1354
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Volodymyr Veres
>Priority: Major
>  Labels: AWS, AZURE, GCP
>




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[jira] [Updated] (DLAB-1525) Display instance price for shape per hour on Data Lab Web UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1525:

Summary: Display instance price for shape per hour on Data Lab Web UI  
(was: Display instance price for shape per hour on DLab Web UI)

> Display instance price for shape per hour on Data Lab Web UI
> 
>
> Key: DLAB-1525
> URL: https://issues.apache.org/jira/browse/DLAB-1525
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, Github_issue, RedHat
>
> As a user I want to know price for shape per hour, so that I will be 
> confident in my shape choice.
> 
> *Acceptance criteria:*
>  # The price is in drop down list, where are shapes
>  # The currency is USD
> [https://github.com/apache/incubator-dlab/issues/751]



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[jira] [Updated] (DLAB-1723) [Branch-1571]: Image is present neither in Data Lab report nor in S3 (file.csv)

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1723:

Description: 
*Preconditions:*
 1. Environment is created on AWS
 2. Shared image per all cloud/shared image per project/custom image are created
 3. Billing is available

*Steps to reproduce:*
 1. Go to "Billing report" page
 2. Go to S3 bucket

*Actual result:*
 1. Images are absent in billing report
 2. Images are absent in S3 bucket

*Expected result:*
 1. Images are present in billing report
 2. Images are present in S3 bucket

  was:
*Preconditions:*
1. Environment is created on AWS
2. Shared image per all cloud/shared image per project/custom image are created
3. Billing is available

*Steps to reproduce:*
1. Go to "Billing report" page
2. Go to S3 bucket

*Actual result:*
1. Images are absent in billing report
2. Images are absent in S3 bucket

Expected result:
1. Images are present in billing report
2. Images are present in S3 bucket


> [Branch-1571]: Image is present neither in Data Lab report nor in S3 
> (file.csv)
> ---
>
> Key: DLAB-1723
> URL: https://issues.apache.org/jira/browse/DLAB-1723
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
>Affects Versions: v.2.4
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: AWS, Debian, DevOps, Known_issues(release2.3), 
> Known_issues(release2.4), RedHat
>
> *Preconditions:*
>  1. Environment is created on AWS
>  2. Shared image per all cloud/shared image per project/custom image are 
> created
>  3. Billing is available
> *Steps to reproduce:*
>  1. Go to "Billing report" page
>  2. Go to S3 bucket
> *Actual result:*
>  1. Images are absent in billing report
>  2. Images are absent in S3 bucket
> *Expected result:*
>  1. Images are present in billing report
>  2. Images are present in S3 bucket



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[jira] [Updated] (DLAB-1895) Data Lab instance status should be synced up with cloud status

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1895:

Summary: Data Lab instance status should be synced up with cloud status  
(was: DLab instance status should be synced up with cloud status)

> Data Lab instance status should be synced up with cloud status
> --
>
> Key: DLAB-1895
> URL: https://issues.apache.org/jira/browse/DLAB-1895
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Critical
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
>
> If change instance status from cloud console the Dlab instance status is not 
> updated:
>  # Edge node
>  # Notebook
>  # Cluster (master)
> Please investigate the reaso



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[jira] [Updated] (DLAB-1895) Data Lab instance status should be synced up with cloud status

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1895:

Description: 
If change instance status from cloud console the Data Lab instance status is 
not updated:
 # Edge node
 # Notebook
 # Cluster (master)

Please investigate the reason

  was:
If change instance status from cloud console the Data Lab instance status is 
not updated:
 # Edge node
 # Notebook
 # Cluster (master)

Please investigate the reaso


> Data Lab instance status should be synced up with cloud status
> --
>
> Key: DLAB-1895
> URL: https://issues.apache.org/jira/browse/DLAB-1895
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Critical
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
>
> If change instance status from cloud console the Data Lab instance status is 
> not updated:
>  # Edge node
>  # Notebook
>  # Cluster (master)
> Please investigate the reason



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[jira] [Updated] (DLAB-1723) [Branch-1571]: Image is present neither in Data Lab report nor in S3 (file.csv)

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1723:

Summary: [Branch-1571]: Image is present neither in Data Lab report nor in 
S3 (file.csv)  (was: [Branch-1571]: Image is present neither in DLab report nor 
in S3 (file.csv))

> [Branch-1571]: Image is present neither in Data Lab report nor in S3 
> (file.csv)
> ---
>
> Key: DLAB-1723
> URL: https://issues.apache.org/jira/browse/DLAB-1723
> Project: Apache DLab
>  Issue Type: Bug
>  Components: Data Lab Main
>Affects Versions: v.2.4
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: AWS, Debian, DevOps, Known_issues(release2.3), 
> Known_issues(release2.4), RedHat
>
> *Preconditions:*
> 1. Environment is created on AWS
> 2. Shared image per all cloud/shared image per project/custom image are 
> created
> 3. Billing is available
> *Steps to reproduce:*
> 1. Go to "Billing report" page
> 2. Go to S3 bucket
> *Actual result:*
> 1. Images are absent in billing report
> 2. Images are absent in S3 bucket
> Expected result:
> 1. Images are present in billing report
> 2. Images are present in S3 bucket



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[jira] [Updated] (DLAB-1895) Data Lab instance status should be synced up with cloud status

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1895:

Description: 
If change instance status from cloud console the Data Lab instance status is 
not updated:
 # Edge node
 # Notebook
 # Cluster (master)

Please investigate the reaso

  was:
If change instance status from cloud console the Dlab instance status is not 
updated:
 # Edge node
 # Notebook
 # Cluster (master)

Please investigate the reaso


> Data Lab instance status should be synced up with cloud status
> --
>
> Key: DLAB-1895
> URL: https://issues.apache.org/jira/browse/DLAB-1895
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Critical
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
>
> If change instance status from cloud console the Data Lab instance status is 
> not updated:
>  # Edge node
>  # Notebook
>  # Cluster (master)
> Please investigate the reaso



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[jira] [Updated] (DLAB-1880) Investigate ABAC in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1880?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1880:

Summary: Investigate ABAC in Data Lab  (was: Investigate ABAC in DLab)

> Investigate ABAC in Data Lab
> 
>
> Key: DLAB-1880
> URL: https://issues.apache.org/jira/browse/DLAB-1880
> Project: Apache DLab
>  Issue Type: Task
>  Components: Data Lab Main
>Reporter: Vira Vitanska
>Assignee: Volodymyr Veres
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>




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[jira] [Updated] (DLAB-500) [Azure]: Add support of installing Data Lab into two VPCs

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-500:
---
Summary: [Azure]: Add support of installing Data Lab into two VPCs  (was: 
[Azure]: Add support of installing DLab into two VPCs)

> [Azure]: Add support of installing Data Lab into two VPCs
> -
>
> Key: DLAB-500
> URL: https://issues.apache.org/jira/browse/DLAB-500
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: Data Lab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AZURE, Debian, RedHat
>




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[jira] [Updated] (DLAB-502) [GCP]: Implement Data Lab installation via private IP

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-502:
---
Description: 
As a user I want to install Data Lab via private IP

 

*Acceptance criteria:*

1. All instances should have only private IP

  was:
As a user I want to install DLab via private IP

 

*Acceptance criteria:*

1. All instances should have only private IP


> [GCP]: Implement Data Lab installation via private IP
> -
>
> Key: DLAB-502
> URL: https://issues.apache.org/jira/browse/DLAB-502
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: Data Lab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: Debian, DevOps, GCP
>
> As a user I want to install Data Lab via private IP
>  
> *Acceptance criteria:*
> 1. All instances should have only private IP



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[jira] [Updated] (DLAB-502) [GCP]: Implement Data Lab installation via private IP

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-502:
---
Summary: [GCP]: Implement Data Lab installation via private IP  (was: 
[GCP]: Implement DLab instalation via private IP)

> [GCP]: Implement Data Lab installation via private IP
> -
>
> Key: DLAB-502
> URL: https://issues.apache.org/jira/browse/DLAB-502
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: Data Lab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: Debian, DevOps, GCP
>
> As a user I want to install DLab via private IP
>  
> *Acceptance criteria:*
> 1. All instances should have only private IP



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[jira] [Updated] (DLAB-499) [GCP]: Add support of installing Data Lab into two VPCs

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-499?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-499:
---
Summary: [GCP]: Add support of installing Data Lab into two VPCs  (was: 
[GCP]: Add support of installing DLab into two VPCs)

> [GCP]: Add support of installing Data Lab into two VPCs
> ---
>
> Key: DLAB-499
> URL: https://issues.apache.org/jira/browse/DLAB-499
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: Debian, GCP
>




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[jira] [Updated] (DLAB-296) DLab REST API to manage Data Lab without UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-296:
---
Summary: DLab REST API to manage Data Lab without UI  (was: DLab REST API 
to manage DLab without UI)

> DLab REST API to manage Data Lab without UI
> ---
>
> Key: DLAB-296
> URL: https://issues.apache.org/jira/browse/DLAB-296
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> As a user I want to manage DLab without UI so that I can reduce time for some 
> operations



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[jira] [Updated] (DLAB-396) Refactor Data Lab deploying with 2 VPCs

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-396?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-396:
---
Summary: Refactor Data Lab deploying with 2 VPCs  (was: Refactor Dlab 
deploying with 2 VPCs)

> Refactor Data Lab deploying with 2 VPCs
> ---
>
> Key: DLAB-396
> URL: https://issues.apache.org/jira/browse/DLAB-396
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, Debian, DevOps, RedHat
>
> Add to .ini some argument to define that vpc connection already created(not 
> just peering)
> Check route tables and ability to use own route table
> Refactor logic of ssn_prepare.py
> Remove aws_notebook_subnet_id mock (co-work with java)
> Ability to add names to peering connection and second VPC
> Problems with terminating of secondary VPC if EMR was provisioned
> Take a look on case with predefined 1st VPC and wrong VPC CIDR



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[jira] [Updated] (DLAB-296) DLab REST API to manage Data Lab without UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-296:
---
Description: As a user I want to manage Data Lab without UI so that I can 
reduce time for some operations  (was: As a user I want to manage DLab without 
UI so that I can reduce time for some operations)

> DLab REST API to manage Data Lab without UI
> ---
>
> Key: DLAB-296
> URL: https://issues.apache.org/jira/browse/DLAB-296
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> As a user I want to manage Data Lab without UI so that I can reduce time for 
> some operations



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[jira] [Updated] (DLAB-296) Data Lab REST API to manage Data Lab without UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-296:
---
Summary: Data Lab REST API to manage Data Lab without UI  (was: DLab REST 
API to manage Data Lab without UI)

> Data Lab REST API to manage Data Lab without UI
> ---
>
> Key: DLAB-296
> URL: https://issues.apache.org/jira/browse/DLAB-296
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> As a user I want to manage Data Lab without UI so that I can reduce time for 
> some operations



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[jira] [Updated] (DLAB-292) Have a default limit on how many environments can be created by the user. Data Lab admins can allow for a larger number upon proper justification

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-292:
---
Summary: Have a default limit on how many environments can be created by 
the user. Data Lab admins can allow for a larger number upon proper 
justification  (was: Have a default limit on how many environments can be 
created by the user. Dlab admins can allow for a larger number upon proper 
justification)

> Have a default limit on how many environments can be created by the user. 
> Data Lab admins can allow for a larger number upon proper justification
> -
>
> Key: DLAB-292
> URL: https://issues.apache.org/jira/browse/DLAB-292
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AZURE, Debian, RedHat
>
> Currently admin can configure what instance shape can be allowed to create 
> for particular user or group, but it does not limit by quontity (only by 
> money) 
>  
> As an admin I want to manage how many quantities of instances can be allowed 
> to create per user/group
>  
>  *Acceptance criteria:*
>  # admin can set/alter sum of  instances quantities which are allowed for 
> creating for user/group
>  # user is supposed to create only the sum of instances quantities (less or 
> equal the sum) which are allowed for creating for user/group
>  # user is not allowed to create more instances than it is permitted for him



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[jira] [Updated] (DLAB-293) Implement job status tracker on Data Lab Web UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-293:
---
Description: 
As a user I want to know job status (completed/failed) in case of instance 
stops/terminates by scheduler.

*Acceptance criteria:*
 # Failed status is conveyed on Data Lab ui if job status is failed
 # Completed status is conveyed on Data Lab ui if job status is successful

Github issue: [https://github.com/apache/incubator-dlab/issues/749]

  was:
As a user I want to know job status (completed/failed) in case of instance 
stops/terminates by scheduler.

*Acceptance criteria:*
 # Failed status is conveyed on DLab ui if job status is failed
 # Completed status is conveyed on DLab ui if ijob status is successful

Github issue: [https://github.com/apache/incubator-dlab/issues/749]


> Implement job status tracker on Data Lab Web UI
> ---
>
> Key: DLAB-293
> URL: https://issues.apache.org/jira/browse/DLAB-293
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, Github_issue, RedHat
>
> As a user I want to know job status (completed/failed) in case of instance 
> stops/terminates by scheduler.
> 
> *Acceptance criteria:*
>  # Failed status is conveyed on Data Lab ui if job status is failed
>  # Completed status is conveyed on Data Lab ui if job status is successful
> Github issue: [https://github.com/apache/incubator-dlab/issues/749]



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[jira] [Updated] (DLAB-293) Implement job status tracker on Data Lab Web UI

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-293:
---
Summary: Implement job status tracker on Data Lab Web UI  (was: Implement 
job status tracker on DLab Web UI)

> Implement job status tracker on Data Lab Web UI
> ---
>
> Key: DLAB-293
> URL: https://issues.apache.org/jira/browse/DLAB-293
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, Github_issue, RedHat
>
> As a user I want to know job status (completed/failed) in case of instance 
> stops/terminates by scheduler.
> 
> *Acceptance criteria:*
>  # Failed status is conveyed on DLab ui if job status is failed
>  # Completed status is conveyed on DLab ui if ijob status is successful
> Github issue: [https://github.com/apache/incubator-dlab/issues/749]



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[jira] [Updated] (DLAB-65) Upgrade Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-65?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-65:
--
Description: 
As a user I want to have possibility to upgrade current Data Lab version, so 
that I do not need fully redeploy.

*Acceptance criteria:*

1.  user can upgrade Data Lab

2. all previously data (billing/instances) do not removed/changed after 
upgrading

Github issue: [https://github.com/apache/incubator-dlab/issues/746]

  was:
As a user I want to have possibility to upgrade current DLab version, so that I 
do not need fully redeploy.

*Acceptance criteria:*

1.  user can upgrade DLab

2. all previously data (billing/instances) do not removed/changed after 
upgrading

Github issue: [https://github.com/apache/incubator-dlab/issues/746]


> Upgrade Data Lab
> 
>
> Key: DLAB-65
> URL: https://issues.apache.org/jira/browse/DLAB-65
> Project: Apache DLab
>  Issue Type: New Feature
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, Github_issue, RedHat
>
> As a user I want to have possibility to upgrade current Data Lab version, so 
> that I do not need fully redeploy.
> 
> *Acceptance criteria:*
> 1.  user can upgrade Data Lab
> 2. all previously data (billing/instances) do not removed/changed after 
> upgrading
> Github issue: [https://github.com/apache/incubator-dlab/issues/746]



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[jira] [Updated] (DLAB-50) Register all AMIs on AWS's Marketplace and use it for further Data Lab SSN instances

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-50?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-50:
--
Description: As a user I want to storage all AMIs on Marketplace of AWS, so 
that I can use it for further creation of  Data Lab SSN instances.  (was: As a 
user I want to storage all AMIs on Marketplace of AWS, so that I can use it for 
further creation of  DLab SSN instances.)

> Register all AMIs on AWS's Marketplace and use it for further Data Lab SSN 
> instances
> 
>
> Key: DLAB-50
> URL: https://issues.apache.org/jira/browse/DLAB-50
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, Debian, DevOps, RedHat
>
> As a user I want to storage all AMIs on Marketplace of AWS, so that I can use 
> it for further creation of  Data Lab SSN instances.



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[jira] [Updated] (DLAB-65) Upgrade Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-65?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-65:
--
Summary: Upgrade Data Lab  (was: Upgrade DLab)

> Upgrade Data Lab
> 
>
> Key: DLAB-65
> URL: https://issues.apache.org/jira/browse/DLAB-65
> Project: Apache DLab
>  Issue Type: New Feature
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, Github_issue, RedHat
>
> As a user I want to have possibility to upgrade current DLab version, so that 
> I do not need fully redeploy.
> 
> *Acceptance criteria:*
> 1.  user can upgrade DLab
> 2. all previously data (billing/instances) do not removed/changed after 
> upgrading
> Github issue: [https://github.com/apache/incubator-dlab/issues/746]



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[jira] [Updated] (DLAB-50) Register all AMIs on AWS's Marketplace and use it for further Data Lab SSN instances

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-50?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-50:
--
Summary: Register all AMIs on AWS's Marketplace and use it for further Data 
Lab SSN instances  (was: Register all AMIs on AWS's Marketplace and use it for 
further DLAB SSN instances)

> Register all AMIs on AWS's Marketplace and use it for further Data Lab SSN 
> instances
> 
>
> Key: DLAB-50
> URL: https://issues.apache.org/jira/browse/DLAB-50
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, Debian, DevOps, RedHat
>
> As a user I want to storage all AMIs on Marketplace of AWS, so that I can use 
> it for further creation of  DLab SSN instances.



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[jira] [Updated] (DLAB-1239) Swagger UI integration in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1239:

Summary: Swagger UI integration in Data Lab  (was: Swagger UI integration 
in DLab)

> Swagger UI integration in Data Lab
> --
>
> Key: DLAB-1239
> URL: https://issues.apache.org/jira/browse/DLAB-1239
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Main
>Reporter: Bohdan Hliva
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> Currently DLab has endpoints that return API description for 2 kind of APIs:
>  - DLab api (for third party integrations: ui, mobile devices etc)
> -  Endpoint API (api for environment provisioning that is used by DLab itself)
>  
> There are 2 endpoint that expose configurations for swagger ui in openapi 
> format:
>  * /assets/endpoint-api.json
>  * /assets/dlab-api.json
> On DLab UI it should be a btn that will open API description inside swagger 
> UI.
>  
> Links: 
> [https://github.com/swagger-api/swagger-ui]
>  



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[jira] [Updated] (DLAB-1239) Swagger UI integration in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1239:

Description: 
Currently Data Lab has endpoints that return API description for 2 kind of APIs:

 - Data Lab api (for third party integrations: ui, mobile devices etc)

-  Endpoint API (api for environment provisioning that is used by Data Lab 
itself)

 

There are 2 endpoint that expose configurations for swagger ui in open api 
format:
 * /assets/endpoint-api.json
 * /assets/dlab-api.json

On Data Lab UI it should be a btn that will open API description inside swagger 
UI.

 

Links: 

[https://github.com/swagger-api/swagger-ui]

 

  was:
Currently DLab has endpoints that return API description for 2 kind of APIs:

 - DLab api (for third party integrations: ui, mobile devices etc)

-  Endpoint API (api for environment provisioning that is used by DLab itself)

 

There are 2 endpoint that expose configurations for swagger ui in openapi 
format:
 * /assets/endpoint-api.json
 * /assets/dlab-api.json

On DLab UI it should be a btn that will open API description inside swagger UI.

 

Links: 

[https://github.com/swagger-api/swagger-ui]

 


> Swagger UI integration in Data Lab
> --
>
> Key: DLAB-1239
> URL: https://issues.apache.org/jira/browse/DLAB-1239
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Main
>Reporter: Bohdan Hliva
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> Currently Data Lab has endpoints that return API description for 2 kind of 
> APIs:
>  - Data Lab api (for third party integrations: ui, mobile devices etc)
> -  Endpoint API (api for environment provisioning that is used by Data Lab 
> itself)
>  
> There are 2 endpoint that expose configurations for swagger ui in open api 
> format:
>  * /assets/endpoint-api.json
>  * /assets/dlab-api.json
> On Data Lab UI it should be a btn that will open API description inside 
> swagger UI.
>  
> Links: 
> [https://github.com/swagger-api/swagger-ui]
>  



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[jira] [Updated] (DLAB-1187) Сreate instruction how to add new template to Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1187:

Summary: Сreate instruction how to add new template to Data Lab  (was: 
Сreate instruction how to add new template to DLab)

> Сreate instruction how to add new template to Data Lab
> --
>
> Key: DLAB-1187
> URL: https://issues.apache.org/jira/browse/DLAB-1187
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Oleh Martushevskyi
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
>




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[jira] [Updated] (DLAB-446) Add parameter SSN size in Data Lab deploy script

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-446:
---
Description: 
As a user I want to choose the size of SSN during Data Lab deploying.

Add parameter which responses for size of SSN during Data Lab deploying.

*Acceptance criteria:*

1. There is parameter [key: value] for SSN size in deploy script

  was:
As a user I want to choose the size of SSN during DLab deploying.

Add parameter which responses for size of SSN during DLab deploying.


*Acceptance criteria:*

1. There is parameter [key: value] for SSN size in deploy script


> Add parameter SSN size in Data Lab deploy script
> 
>
> Key: DLAB-446
> URL: https://issues.apache.org/jira/browse/DLAB-446
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
>
> As a user I want to choose the size of SSN during Data Lab deploying.
> Add parameter which responses for size of SSN during Data Lab deploying.
> *Acceptance criteria:*
> 1. There is parameter [key: value] for SSN size in deploy script



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[jira] [Updated] (DLAB-588) Daily scheduler for Data Lab instance stopping

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-588:
---
Description: 
As a user I want to have possibility automatically stopping Data Lab 
environment at particulat time.

 

*Acceptance criteria:*
 # Particular time is configurable
 # If one of nodes is in running status a scheduler trigger at particular time 
and environment will be stopped
 # If one of nodes is in creating status a scheduler does not trigger and will 
check the status of instance creation in some time. If a status of creating 
instance  changes for a running one the  environment will be stopped

  was:
As a user I want to have possibility automatically stopping DLab environment at 
particulat time.

 

*Acceptance criteria:*
 # Particular time is configurable
 # If one of nodes is in running status a scheduler trigger at particular time 
and environment will be stopped
 # If one of nodes is in creating status a sscheduler does not trigger and will 
check the status of instance creation in some time. If a status of creating 
instance  changes for a running one the  environment will be stopped


> Daily scheduler for Data Lab instance stopping
> --
>
> Key: DLAB-588
> URL: https://issues.apache.org/jira/browse/DLAB-588
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
>
> As a user I want to have possibility automatically stopping Data Lab 
> environment at particulat time.
>  
> *Acceptance criteria:*
>  # Particular time is configurable
>  # If one of nodes is in running status a scheduler trigger at particular 
> time and environment will be stopped
>  # If one of nodes is in creating status a scheduler does not trigger and 
> will check the status of instance creation in some time. If a status of 
> creating instance  changes for a running one the  environment will be stopped



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[jira] [Updated] (DLAB-446) Add parameter SSN size in Data Lab deploy script

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-446:
---
Summary: Add parameter SSN size in Data Lab deploy script  (was: Add 
parameter SSN size in DLab deploy script)

> Add parameter SSN size in Data Lab deploy script
> 
>
> Key: DLAB-446
> URL: https://issues.apache.org/jira/browse/DLAB-446
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
>
> As a user I want to choose the size of SSN during DLab deploying.
> Add parameter which responses for size of SSN during DLab deploying.
> *Acceptance criteria:*
> 1. There is parameter [key: value] for SSN size in deploy script



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[jira] [Updated] (DLAB-588) Daily scheduler for Data Lab instance stopping

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-588:
---
Summary: Daily scheduler for Data Lab instance stopping  (was: Daily 
scheduler for DLab instance stopping)

> Daily scheduler for Data Lab instance stopping
> --
>
> Key: DLAB-588
> URL: https://issues.apache.org/jira/browse/DLAB-588
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
>
> As a user I want to have possibility automatically stopping DLab environment 
> at particulat time.
>  
> *Acceptance criteria:*
>  # Particular time is configurable
>  # If one of nodes is in running status a scheduler trigger at particular 
> time and environment will be stopped
>  # If one of nodes is in creating status a sscheduler does not trigger and 
> will check the status of instance creation in some time. If a status of 
> creating instance  changes for a running one the  environment will be stopped



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[jira] [Updated] (DLAB-1752) Distinguish Data Lab and project shared image

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1752?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1752:

Summary: Distinguish Data Lab and project shared image  (was: Distinguish 
DLab and project shared image)

> Distinguish Data Lab and project shared image
> -
>
> Key: DLAB-1752
> URL: https://issues.apache.org/jira/browse/DLAB-1752
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Minor
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
>
> If admin creates or edits a project he can choose:
>  * to use DLab shared image 
>  * to use project shared image.
> Now we have only one 'use shared image', that means to use DLab shared image.
> Two radio buttons should be on DLab UI:
>  * use DLab shared image
>  * use project shared image



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[jira] [Updated] (DLAB-1752) Distinguish Data Lab and project shared image

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1752?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1752:

Description: 
If admin creates or edits a project he can choose:
 * to use Data Lab shared image 
 * to use project shared image.

Now we have only one 'use shared image', that means to use Data Lab shared 
image.

Two radio buttons should be on Data Lab UI:
 * use Data Lab shared image
 * use project shared image

  was:
If admin creates or edits a project he can choose:
 * to use DLab shared image 
 * to use project shared image.

Now we have only one 'use shared image', that means to use DLab shared image.

Two radio buttons should be on DLab UI:
 * use DLab shared image
 * use project shared image


> Distinguish Data Lab and project shared image
> -
>
> Key: DLAB-1752
> URL: https://issues.apache.org/jira/browse/DLAB-1752
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Minor
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
>
> If admin creates or edits a project he can choose:
>  * to use Data Lab shared image 
>  * to use project shared image.
> Now we have only one 'use shared image', that means to use Data Lab shared 
> image.
> Two radio buttons should be on Data Lab UI:
>  * use Data Lab shared image
>  * use project shared image



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[jira] [Updated] (DLAB-57) Add ability to share AMI(s) created by user across Data Lab project

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-57?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-57:
--
Summary: Add ability to share AMI(s) created by user across Data Lab 
project   (was: Add ability to share AMI(s) created by user across DLab project 
)

> Add ability to share AMI(s) created by user across Data Lab project 
> 
>
> Key: DLAB-57
> URL: https://issues.apache.org/jira/browse/DLAB-57
> Project: Apache DLab
>  Issue Type: Improvement
>  Components: DLab Old
>Reporter: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, Github_issue, RedHat
> Fix For: v.2.5
>
>
> As a user I want to choose to make custom AMi of notebook public or not 
> public, so that I can shared my own custom AMI with other users by my desire.
> 
> *Acceptance criteria:*
>  1. to add possibility for choosing during creation AMI:
>  - available for all users/make shared
> 2. my personal data on notebook should not to be shared
> Github issue: [https://github.com/apache/incubator-dlab/issues/745]



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[jira] [Updated] (DLAB-249) [DevOps]: Add support of local repository for Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-249:
---
Summary: [DevOps]: Add support of local repository for Data Lab  (was: 
[DevOps]: Add support of local repository for DLab)

> [DevOps]: Add support of local repository for Data Lab
> --
>
> Key: DLAB-249
> URL: https://issues.apache.org/jira/browse/DLAB-249
> Project: Apache DLab
>  Issue Type: New Feature
>  Components: DLab Old
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, Github_issue, RedHat
> Attachments: local.png
>
>
> As a user I want to create instance from local repository, so that I can 
> prevent some random issues during creation.
> 
> 1. It should be the single source from which changes will be performed.
> 2. Go and distribute all traffic through this sandbox
> Github issue: [https://github.com/apache/incubator-dlab/issues/737]



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[jira] [Updated] (DLAB-965) Fix issue with Java SSL certificate for Data Lab Java services

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-965:
---
Summary: Fix issue with Java SSL certificate for Data Lab Java services  
(was: Fix issue with Java SSL certificate for DLab Java services)

> Fix issue with Java SSL certificate for Data Lab Java services
> --
>
> Key: DLAB-965
> URL: https://issues.apache.org/jira/browse/DLAB-965
> Project: Apache DLab
>  Issue Type: Task
>Reporter: Oleh Martushevskyi
>Assignee: Oleh Martushevskyi
>Priority: Major
>  Labels: DevOps
>




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[jira] [Updated] (DLAB-944) [K8S]: Change container OS of docker images for Data Lab Java services

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-944?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-944:
---
Summary: [K8S]: Change container OS of docker images for Data Lab Java 
services  (was: [K8S]: Change container OS of docker images for DLab Java 
services)

> [K8S]: Change container OS of docker images for Data Lab Java services
> --
>
> Key: DLAB-944
> URL: https://issues.apache.org/jira/browse/DLAB-944
> Project: Apache DLab
>  Issue Type: Task
>Reporter: Oleh Martushevskyi
>Assignee: Oleh Martushevskyi
>Priority: Major
>  Labels: DevOps
>
> Currently, we are using Ubuntu 16.04. Size of such image is very large.
> We should change it to something like Alpine or CoreOS



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[jira] [Updated] (DLAB-941) [K8S]: Investigate and implement ConfigMaps for Data Lab Java services

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-941?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-941:
---
Summary: [K8S]: Investigate and implement ConfigMaps for Data Lab Java 
services  (was: [K8S]: Investigate and implement ConfigMaps for DLab Java 
services)

> [K8S]: Investigate and implement ConfigMaps for Data Lab Java services
> --
>
> Key: DLAB-941
> URL: https://issues.apache.org/jira/browse/DLAB-941
> Project: Apache DLab
>  Issue Type: Task
>Reporter: Oleh Martushevskyi
>Assignee: Oleh Martushevskyi
>Priority: Major
>  Labels: DevOps
>




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[jira] [Updated] (DLAB-942) [K8S]: Investigate and implement Kubernetes secrets for Data Lab services

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-942?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-942:
---
Summary: [K8S]: Investigate and implement Kubernetes secrets for Data Lab 
services  (was: [K8S]: Investigate and implement Kubernetes secrets for DLab 
services)

> [K8S]: Investigate and implement Kubernetes secrets for Data Lab services
> -
>
> Key: DLAB-942
> URL: https://issues.apache.org/jira/browse/DLAB-942
> Project: Apache DLab
>  Issue Type: Task
>Reporter: Oleh Martushevskyi
>Assignee: Oleh Martushevskyi
>Priority: Major
>  Labels: DevOps
>




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[jira] [Updated] (DLAB-985) Fix issue with MongoDB Data Lab parameters

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-985?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-985:
---
Summary: Fix issue with MongoDB Data Lab parameters  (was: Fix issue with 
MongoDB DLab parameters)

> Fix issue with MongoDB Data Lab parameters
> --
>
> Key: DLAB-985
> URL: https://issues.apache.org/jira/browse/DLAB-985
> Project: Apache DLab
>  Issue Type: Task
>Reporter: Oleh Martushevskyi
>Assignee: Oleh Martushevskyi
>Priority: Major
>  Labels: DevOps
>




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[jira] [Updated] (DLAB-1497) Create CI solution for Data Lab docker images, jars

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1497:

Summary: Create CI solution for Data Lab docker images, jars  (was: Create 
CI solution for DLab docker images, jars)

> Create CI solution for Data Lab docker images, jars
> ---
>
> Key: DLAB-1497
> URL: https://issues.apache.org/jira/browse/DLAB-1497
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
> Fix For: v.2.5
>
>




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[jira] [Updated] (DLAB-2029) [Plugin architecture][Front-end]: Implement possibility to turn on billing after Data Lab deployment

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2029:

Summary: [Plugin architecture][Front-end]: Implement possibility to turn on 
billing after Data Lab deployment  (was: [Plugin architecture][Front-end]: 
Implement possibility to turn on billing after DLab deployment)

> [Plugin architecture][Front-end]: Implement possibility to turn on billing 
> after Data Lab deployment
> 
>
> Key: DLAB-2029
> URL: https://issues.apache.org/jira/browse/DLAB-2029
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.5
>
>
>  Embed and run billing as a service.



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[jira] [Updated] (DLAB-1495) Prepare environment (VPC, Subnet, etc) for Data Lab production services (Keycloak, Nexus, Step-CA)

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1495:

Summary: Prepare environment (VPC, Subnet, etc) for Data Lab production 
services (Keycloak, Nexus, Step-CA)  (was: Prepare environment (VPC, Subnet, 
etc) for DLab production services (Keycloak, Nexus, Step-CA))

> Prepare environment (VPC, Subnet, etc) for Data Lab production services 
> (Keycloak, Nexus, Step-CA)
> --
>
> Key: DLAB-1495
> URL: https://issues.apache.org/jira/browse/DLAB-1495
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, Azure, Debian, DevOps, GCP, RedHat
> Fix For: v.2.5
>
>




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[jira] [Updated] (DLAB-2061) [Plugin architecture][DevOps]: Implement possibility to turn on billing after Data Lab deployment

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2061?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2061:

Summary: [Plugin architecture][DevOps]: Implement possibility to turn on 
billing after Data Lab deployment  (was: [Plugin architecture][DevOps]: 
Implement possibility to turn on billing after DLab deployment)

> [Plugin architecture][DevOps]: Implement possibility to turn on billing after 
> Data Lab deployment
> -
>
> Key: DLAB-2061
> URL: https://issues.apache.org/jira/browse/DLAB-2061
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
> Fix For: v.2.5
>
>
>  Embed and run billing as a service.



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[jira] [Updated] (DLAB-1601) [Azure][DevOps]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1601:

Summary: [Azure][DevOps]: Odahu (Legion) management in Data Lab  (was: 
[Azure][DevOps]: Odahu (Legion) management in DLab)

> [Azure][DevOps]: Odahu (Legion) management in Data Lab
> --
>
> Key: DLAB-1601
> URL: https://issues.apache.org/jira/browse/DLAB-1601
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: Azure, Debian, DevOps, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or DLab user?
> 1. Legion cluster will be deployed per project-endpoint
> 2. Under Administration page:
>   2.1. Add a page: Legion deployment
>   2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## DLab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT gateway
>  ## Need Legion team to use Edge IP instead (proxy)
>  - Buckets (visible = false)
>  ## Bucket for Feedback (use Project bucket)
>  ### Legion should access bucket name as parameter
>  ## Bucket for State of Terraform (use Project bucket)
>  ### Legion should access bucket name as parameter
>  - Container registry (pass a parameter?)
>  # Security params (keycloak, oauth and ssh key)
>  # Repos (docker repo and creds, helm repos)
> 3. Under List of Resource page
>  # Show additional column with Legion icon near every notebook
>  # When use clicks on it -> popup shows up containing following information:
>  ## URL for feedback storage
>  ## URL for Swagger API registry
>  ## URL for Grafana
>  ## Etc
>  # Extend current Actions menu for JupyterLab only with action "Attach Legion"



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[jira] [Updated] (DLAB-2028) [Plugin architecture][Back-end]: Implement possibility to turn on billing after Data Lab deployment

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2028?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2028:

Summary: [Plugin architecture][Back-end]: Implement possibility to turn on 
billing after Data Lab deployment  (was: [Plugin architecture][Back-end]: 
Implement possibility to turn on billing after DLab deployment)

> [Plugin architecture][Back-end]: Implement possibility to turn on billing 
> after Data Lab deployment
> ---
>
> Key: DLAB-2028
> URL: https://issues.apache.org/jira/browse/DLAB-2028
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
> Fix For: v.2.5
>
>
>  Embed and run billing as a service.



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[jira] [Updated] (DLAB-1601) [Azure][DevOps]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1601:

Description: 
Who manages Legion provisioning:
 * Admin or Data Lab user?

1. Legion cluster will be deployed per project-endpoint
 2. Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## Data Lab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

  was:
Who manages Legion provisioning:
 * Admin or DLab user?

1. Legion cluster will be deployed per project-endpoint
2. Under Administration page:
  2.1. Add a page: Legion deployment
  2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## DLab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"


> [Azure][DevOps]: Odahu (Legion) management in Data Lab
> --
>
> Key: DLAB-1601
> URL: https://issues.apache.org/jira/browse/DLAB-1601
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: Azure, Debian, DevOps, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or Data Lab user?
> 1. Legion cluster will be deployed per project-endpoint
>  2. Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## Data Lab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - 

[jira] [Updated] (DLAB-1600) [AWS][DevOps]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1600:

Summary: [AWS][DevOps]: Odahu (Legion) management in Data Lab  (was: 
[AWS][DevOps]: Odahu (Legion) management in DLab)

> [AWS][DevOps]: Odahu (Legion) management in Data Lab
> 
>
> Key: DLAB-1600
> URL: https://issues.apache.org/jira/browse/DLAB-1600
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AWS, Debian, DevOps, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or DLab user?
> 1. Legion cluster will be deployed per project-endpoint
> 2. Under Administration page:
>   2.1. Add a page: Legion deployment
>   2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## DLab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT gateway
>  ## Need Legion team to use Edge IP instead (proxy)
>  - Buckets (visible = false)
>  ## Bucket for Feedback (use Project bucket)
>  ### Legion should access bucket name as parameter
>  ## Bucket for State of Terraform (use Project bucket)
>  ### Legion should access bucket name as parameter
>  - Container registry (pass a parameter?)
>  # Security params (keycloak, oauth and ssh key)
>  # Repos (docker repo and creds, helm repos)
> 3. Under List of Resource page
>  # Show additional column with Legion icon near every notebook
>  # When use clicks on it -> popup shows up containing following information:
>  ## URL for feedback storage
>  ## URL for Swagger API registry
>  ## URL for Grafana
>  ## Etc
>  # Extend current Actions menu for JupyterLab only with action "Attach Legion"



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[jira] [Updated] (DLAB-1600) [AWS][DevOps]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1600:

Description: 
Who manages Legion provisioning:
 * Admin or Data Lab user?

1. Legion cluster will be deployed per project-endpoint
 2. Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## Data Lab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

  was:
Who manages Legion provisioning:
 * Admin or DLab user?

1. Legion cluster will be deployed per project-endpoint
2. Under Administration page:
  2.1. Add a page: Legion deployment
  2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## DLab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"


> [AWS][DevOps]: Odahu (Legion) management in Data Lab
> 
>
> Key: DLAB-1600
> URL: https://issues.apache.org/jira/browse/DLAB-1600
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AWS, Debian, DevOps, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or Data Lab user?
> 1. Legion cluster will be deployed per project-endpoint
>  2. Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## Data Lab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT 

[jira] [Created] (DLAB-2070) Replace old name by new one in Jira

2020-09-21 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-2070:
---

 Summary: Replace old name by new one in Jira
 Key: DLAB-2070
 URL: https://issues.apache.org/jira/browse/DLAB-2070
 Project: Apache DLab
  Issue Type: Task
  Components: DLab Main
Reporter: Vira Vitanska
Assignee: Vira Vitanska
 Fix For: v.2.5






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[jira] [Updated] (DLAB-2070) Replace old name by new one in Jira

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2070?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2070:

Story Points: 2

> Replace old name by new one in Jira
> ---
>
> Key: DLAB-2070
> URL: https://issues.apache.org/jira/browse/DLAB-2070
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Vira Vitanska
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
> Fix For: v.2.5
>
>




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[jira] [Updated] (DLAB-1345) [GCP][DevOps]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1345:

Summary: [GCP][DevOps]: Odahu (Legion) management in Data Lab   (was: 
[GCP][DevOps]: Odahu (Legion) management in DLab)

> [GCP][DevOps]: Odahu (Legion) management in Data Lab 
> -
>
> Key: DLAB-1345
> URL: https://issues.apache.org/jira/browse/DLAB-1345
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Demian Mysakovets
>Priority: Major
>  Labels: Debian, DevOps, GCP
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or DLab user?
> 1. Legion cluster will be deployed per project-endpoint
> 2. Under Administration page:
>   2.1. Add a page: Legion deployment
>   2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## DLab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT gateway
>  ## Need Legion team to use Edge IP instead (proxy)
>  - Buckets (visible = false)
>  ## Bucket for Feedback (use Project bucket)
>  ### Legion should access bucket name as parameter
>  ## Bucket for State of Terraform (use Project bucket)
>  ### Legion should access bucket name as parameter
>  - Container registry (pass a parameter?)
>  # Security params (keycloak, oauth and ssh key)
>  # Repos (docker repo and creds, helm repos)
> 3. Under List of Resource page
>  # Show additional column with Legion icon near every notebook
>  # When use clicks on it -> popup shows up containing following information:
>  ## URL for feedback storage
>  ## URL for Swagger API registry
>  ## URL for Grafana
>  ## Etc
>  # Extend current Actions menu for JupyterLab only with action "Attach Legion"



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[jira] [Updated] (DLAB-1345) [GCP][DevOps]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1345:

Description: 
Who manages Legion provisioning:
 * Admin or Data Lab user?

1. Legion cluster will be deployed per project-endpoint
 2. Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## Data Lab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

  was:
Who manages Legion provisioning:
 * Admin or DLab user?

1. Legion cluster will be deployed per project-endpoint
2. Under Administration page:
  2.1. Add a page: Legion deployment
  2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## DLab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"


> [GCP][DevOps]: Odahu (Legion) management in Data Lab 
> -
>
> Key: DLAB-1345
> URL: https://issues.apache.org/jira/browse/DLAB-1345
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Demian Mysakovets
>Priority: Major
>  Labels: Debian, DevOps, GCP
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or Data Lab user?
> 1. Legion cluster will be deployed per project-endpoint
>  2. Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## Data Lab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT 

[jira] [Updated] (DLAB-1357) [Front-end]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1357:

Summary: [Front-end]: Odahu (Legion) management in Data Lab   (was: 
[Front-end]: Odahu (Legion) management in DLab)

> [Front-end]: Odahu (Legion) management in Data Lab 
> ---
>
> Key: DLAB-1357
> URL: https://issues.apache.org/jira/browse/DLAB-1357
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or DLab user?
> 1. Legion cluster will be deployed per project-endpoint
> 2. Under Administration page:
>   2.1. Add a page: Legion deployment
>   2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## DLab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT gateway
>  ## Need Legion team to use Edge IP instead (proxy)
>  - Buckets (visible = false)
>  ## Bucket for Feedback (use Project bucket)
>  ### Legion should access bucket name as parameter
>  ## Bucket for State of Terraform (use Project bucket)
>  ### Legion should access bucket name as parameter
>  - Container registry (pass a parameter?)
>  # Security params (keycloak, oauth and ssh key)
>  # Repos (docker repo and creds, helm repos)
> 3. Under List of Resource page
>  # Show additional column with Legion icon near every notebook
>  # When use clicks on it -> popup shows up containing following information:
>  ## URL for feedback storage
>  ## URL for Swagger API registry
>  ## URL for Grafana
>  ## Etc
>  # Extend current Actions menu for JupyterLab only with action "Attach Legion"



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[jira] [Updated] (DLAB-1357) [Front-end]: Odahu (Legion) management in Data Lab

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1357:

Description: 
Who manages Legion provisioning:
 * Admin or Data Lab user?

1. Legion cluster will be deployed per project-endpoint
 2. Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## Data Lab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

  was:
Who manages Legion provisioning:
 * Admin or DLab user?

1. Legion cluster will be deployed per project-endpoint
2. Under Administration page:
  2.1. Add a page: Legion deployment
  2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## DLab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

3. Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"


> [Front-end]: Odahu (Legion) management in Data Lab 
> ---
>
> Key: DLAB-1357
> URL: https://issues.apache.org/jira/browse/DLAB-1357
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.5
>
>
> Who manages Legion provisioning:
>  * Admin or Data Lab user?
> 1. Legion cluster will be deployed per project-endpoint
>  2. Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## Data Lab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = 

[jira] [Updated] (DLAB-1338) Data Lab + Odahu

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1338?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1338:

Description: 
Who manages Legion provisioning:
 * Admin or Data Lab user?

*1.* Legion cluster will be deployed per project-endpoint
 *2.* Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## Data Lab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

*3.* Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

*4.* Billing
 # Add billing info to Billing report
 ## For each type of Legion resource - there should be a separate line-item in 
billing report
 # Extend in-grid billing with Legion billing data

*5.* Security - for authentication/authorization to work across Data Lab and 
Legion:
 # Use same realm for Data Lab and Legion
 ## I should be able to login to Data Lab and I should not be asked to login 
going forward.

 

Questions:
 * If there are two users, two JupyterLabs connected to single Legion cluster, 
how Legion resources are allocated across two users?

  was:
Who manages Legion provisioning:
 * Admin or DLab user?

*1.* Legion cluster will be deployed per project-endpoint
 *2.* Under Administration page:
   2.1. Add a page: Legion deployment
   2.2. Page should contain grid with following information:
 - Project Name
 - Endpoint URL
 - Legion cluster Name
 - Legion cluster status
 - Number of Legion cluster nodes
 - Actions column:
 ## Start/Stop?
 ## Terminate?
 ## Scale-down
 ## Scale-up

   2.3. Create Legion cluster popup:
 - Select Project
 - Select Endpoint
 - Select existing k8s cluster (checkbox, once checked input field shows up 
where you can fill in "Legion k8s cluster URL")
 - Select number of shapes
 - Select instance shape
 - Select certificate? +(check with Vitalii Solodinov)+
 ## DLab passes this as input parameter for Legion provisioning script
 - VPC, Subnet will be auto-propagated from Project (visible = false)
 - NAT gateway
 ## Need Legion team to use Edge IP instead (proxy)
 - Buckets (visible = false)
 ## Bucket for Feedback (use Project bucket)
 ### Legion should access bucket name as parameter
 ## Bucket for State of Terraform (use Project bucket)
 ### Legion should access bucket name as parameter
 - Container registry (pass a parameter?)

 # Security params (keycloak, oauth and ssh key)
 # Repos (docker repo and creds, helm repos)

*3.* Under List of Resource page
 # Show additional column with Legion icon near every notebook
 # When use clicks on it -> popup shows up containing following information:
 ## URL for feedback storage
 ## URL for Swagger API registry
 ## URL for Grafana
 ## Etc
 # Extend current Actions menu for JupyterLab only with action "Attach Legion"

*4.* Billing
 # Add billing info to Billing report
 ## For each type of Legion resource - there should be a separate line-item in 
billing report
 # Extend in-grid billing with Legion billing data

*5.* Security - for authentication/authorization to work across Dlab and Legion:
 # Use same realm for Dlab and Legion
 ## I should be able to login to DLab and I should not be asked to login going 
forward.

 

Questions:
 * If there are two users, two JupyterLabs connected to single Legion cluster, 
how Legion resources are allocated across two users?


> Data Lab + Odahu
> 
>
> Key: DLAB-1338
> URL: https://issues.apache.org/jira/browse/DLAB-1338
> Project: Apache DLab
>  Issue Type: Epic
>Reporter: Vira Vitanska
>Priority: Major
>
> Who manages Legion provisioning:
>  

[jira] [Updated] (DLAB-1338) Data Lab + Odahu

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1338?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1338:

Epic Name: Data Lab + Odahu  (was: DLab + Odahu)
  Summary: Data Lab + Odahu  (was: DLab + Odahu)

> Data Lab + Odahu
> 
>
> Key: DLAB-1338
> URL: https://issues.apache.org/jira/browse/DLAB-1338
> Project: Apache DLab
>  Issue Type: Epic
>Reporter: Vira Vitanska
>Priority: Major
>
> Who manages Legion provisioning:
>  * Admin or DLab user?
> *1.* Legion cluster will be deployed per project-endpoint
>  *2.* Under Administration page:
>    2.1. Add a page: Legion deployment
>    2.2. Page should contain grid with following information:
>  - Project Name
>  - Endpoint URL
>  - Legion cluster Name
>  - Legion cluster status
>  - Number of Legion cluster nodes
>  - Actions column:
>  ## Start/Stop?
>  ## Terminate?
>  ## Scale-down
>  ## Scale-up
>    2.3. Create Legion cluster popup:
>  - Select Project
>  - Select Endpoint
>  - Select existing k8s cluster (checkbox, once checked input field shows up 
> where you can fill in "Legion k8s cluster URL")
>  - Select number of shapes
>  - Select instance shape
>  - Select certificate? +(check with Vitalii Solodinov)+
>  ## DLab passes this as input parameter for Legion provisioning script
>  - VPC, Subnet will be auto-propagated from Project (visible = false)
>  - NAT gateway
>  ## Need Legion team to use Edge IP instead (proxy)
>  - Buckets (visible = false)
>  ## Bucket for Feedback (use Project bucket)
>  ### Legion should access bucket name as parameter
>  ## Bucket for State of Terraform (use Project bucket)
>  ### Legion should access bucket name as parameter
>  - Container registry (pass a parameter?)
>  # Security params (keycloak, oauth and ssh key)
>  # Repos (docker repo and creds, helm repos)
> *3.* Under List of Resource page
>  # Show additional column with Legion icon near every notebook
>  # When use clicks on it -> popup shows up containing following information:
>  ## URL for feedback storage
>  ## URL for Swagger API registry
>  ## URL for Grafana
>  ## Etc
>  # Extend current Actions menu for JupyterLab only with action "Attach Legion"
> *4.* Billing
>  # Add billing info to Billing report
>  ## For each type of Legion resource - there should be a separate line-item 
> in billing report
>  # Extend in-grid billing with Legion billing data
> *5.* Security - for authentication/authorization to work across Dlab and 
> Legion:
>  # Use same realm for Dlab and Legion
>  ## I should be able to login to DLab and I should not be asked to login 
> going forward.
>  
> Questions:
>  * If there are two users, two JupyterLabs connected to single Legion 
> cluster, how Legion resources are allocated across two users?



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[jira] [Created] (DLAB-2069) Replace old name by new one for in confluence

2020-09-21 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-2069:
---

 Summary: Replace old name by new one for in confluence
 Key: DLAB-2069
 URL: https://issues.apache.org/jira/browse/DLAB-2069
 Project: Apache DLab
  Issue Type: Task
  Components: DLab Main
Reporter: Vira Vitanska
Assignee: Vira Vitanska
 Fix For: v.2.5


A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.



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[jira] [Updated] (DLAB-2064) Replace old name by new one in all documentations

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2064:

Description: 
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.

  was:
A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'


> Replace old name by new one in all documentations
> -
>
> Key: DLAB-2064
> URL: https://issues.apache.org/jira/browse/DLAB-2064
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.



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[jira] [Updated] (DLAB-2063) Investigate if it's possible to change repo name

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2063:

Description: 
A new name has been approved 'Apache Data Lab'.

So we should change from 'incubator-dlab' to 'incubator-data-lab'.

  was:
A new name has been approved 'Apache Data Lab'.

So we should change from 'incubator-dlab' to 'incubator-data-lab '


> Investigate if it's possible to change repo name 
> -
>
> Key: DLAB-2063
> URL: https://issues.apache.org/jira/browse/DLAB-2063
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Debian, GCP, RedHat
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'incubator-dlab' to 'incubator-data-lab'.



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[jira] [Assigned] (DLAB-2068) [Front-end]: Replace old name by new one in all sources

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska reassigned DLAB-2068:
---

Assignee: Dmytro Gnatyshyn  (was: Oleg Fuks)

> [Front-end]: Replace old name by new one in all sources
> ---
>
> Key: DLAB-2068
> URL: https://issues.apache.org/jira/browse/DLAB-2068
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Dmytro Gnatyshyn
>Priority: Major
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.



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[jira] [Updated] (DLAB-2068) [Front-end]: Replace old name by new one in all sources

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-2068:

Labels: AWS AZURE Debian Front-end GCP RedHat  (was: AWS AZURE Back-end 
Debian GCP RedHat)

> [Front-end]: Replace old name by new one in all sources
> ---
>
> Key: DLAB-2068
> URL: https://issues.apache.org/jira/browse/DLAB-2068
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Oleg Fuks
>Priority: Major
>  Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.



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[jira] [Created] (DLAB-2068) [Front-end]: Replace old name by new one in all sources

2020-09-21 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-2068:
---

 Summary: [Front-end]: Replace old name by new one in all sources
 Key: DLAB-2068
 URL: https://issues.apache.org/jira/browse/DLAB-2068
 Project: Apache DLab
  Issue Type: Task
  Components: DLab Main
Reporter: Vira Vitanska
Assignee: Oleg Fuks
 Fix For: v.2.5


A new name has been approved 'Apache Data Lab'.

So we should change from 'Apache DLab' to 'Apache Data Lab'.



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[jira] [Assigned] (DLAB-2067) [DevOps]: Replace old name by new one in all sources

2020-09-21 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-2067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska reassigned DLAB-2067:
---

Assignee: Leonid Frolov  (was: Oleg Fuks)

> [DevOps]: Replace old name by new one in all sources
> 
>
> Key: DLAB-2067
> URL: https://issues.apache.org/jira/browse/DLAB-2067
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
> Fix For: v.2.5
>
>
> A new name has been approved 'Apache Data Lab'.
> So we should change from 'Apache DLab' to 'Apache Data Lab'.



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