KNIME Business Hub Admin Guide

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Introduction

KNIME Business Hub is a customer-managed Hub instance. Once you have a license for it and proceed with installation you will have access to Hub resources and will be able to customize specific features, as well as give access to these resources to your employees, organize them into Teams and give them the ability to manage specific resources.

This guide provides information on how to administrate a KNIME Business Hub instance.

To install a KNIME Business Hub please refer to the KNIME Business Hub Installation Guide.

A user guide is also available here, which contains instructions on how to perform team administration tasks. Team admins are designated by the global Hub admin, and have control over their team’s allocated resources, can add users to their team, create execution contexts and have an overview of the team’s deployments. In this way the Hub administration tasks are distributed and reallocated to those users that have a better overview of their own team necessities.

Create and manage teams

A team is a group of users on KNIME Hub that work together on shared projects. Specific Hub resources can be owned by a team (e.g. spaces and the contained workflows, files, or components) so that the team members will have access to these resources.

Then click your profile picture on the right upper corner of the page and select Administration to go to the KNIME Business Hub Administration page. Click Teams in the menu on the left. Here you will be able to see an overview of the existing teams and you will be able to manage them.

Create a team

To create a new team click the yellow plus button on the right.

Figure 1. Create a new team in the KNIME Business Hub Administration page

After you create a new team you will be redirected to the new team’s page. Here you can change the name of the team. To do so click the name of the team under the team logo on the left side of the page. The name of the team can also be changed at any point in time by the team administrator.

From the team’s page you can:

Add members to the team
Change their role to, for example, promote a user to team admininistrator role

Here you might for example want to assign the team to a team administrator. To do so click Manage team and enter the user name of the user you want to assign as a team administrator for the current team. Then click on the role and select Member and Admin. At the same time you might want to delete the global admin user name from the team members list. To do so click the bin icon corresponding to that user. Click Save changes to finalize the setting.

Allocate resources to a team

To allocate resources to a team navigate to the KNIME Business Hub Administrator page and select Teams from the menu on the left.

Here you can see an overview of the teams available, their allocated resourced, and of their current usage. Click the three dots on the right upper corner of the card corresponding to the team you want to allocate resources to.

Select Manage resources from the menu. A panel on the right will open where you can select the resources you want to allocate.

Figure 3. Allocate resources to a team

Here you can change:

The maximum number of members allowed in that team
The maximum number of execution vCore tokens allowed for that team

Click Save changes when you have set up the resources for the current team.

Manage team members

From the KNIME Business Hub Administration page you can also manage the team members.

Click the three dots on the right upper corner of the card corresponding to the team. From the menu that opens select Manage members. In the side panel that opens you can add members to a team, or change the team members role.

Delete a team

From the KNIME Business Hub Administration page you can also delete a team.

Click the three dots on the right upper corner of the card corresponding to the team. From the menu that opens select Delete. Be aware that this operation will delete also all the team resources, data and deployments.

Execution resources

As mentioned in the previous section you as an Hub admin can assign execution resources to each team.

Team admins will then be able to build execution contexts according to the execution resources that you assigned to their team. These execution contexts will then be dedicated specifically to that team.

As an Hub admin you can also create a shared execution context. Once you create one you can share it with multiple teams.

For an overview of all the available execution contexts click your profile icon on the top right corner of the KNIME Hub and select Administration from the drop-down.

You will be then redirected to the KNIME Business Hub administration page.

Here, select Execution resources from the menu on the left.

In this page you can see an overview of All the execution contexts available on the Hub.

From the toggle at the top you can filter to see only a specific type of execution contexts available in the Hub instance.

Select:

Shared: Shared execution contexts are created by the Hub admin. They can be made available to multiple teams.
Dedicated: Dedicated execution contexts are created by the team admins for their team. Dedicated execution contexts are exclusively used by a single team.

Each team can by default have a maximum of 10 execution contexts and 10000 jobs. As a KNIME Hub admin you can change these limits via a REST API call like the following:

``PUT https://api.<base-url>/execution/limits/{scopeId}/{limitKey}``

where {scopeId} is the team account ID and the {limitKey} is account-execution-contexts or account-jobs respectively.

Create a shared execution context

As an Hub admin you can create a shared execution context and make it available to multiple teams. To do so click the button. A side panel opens where you can set up the new shared execution context.

Figure 4. Create a shared execution context

Here you can give the execution context a name, set up which Docker image to use as the executor, give a list of blacklisted nodes, and assign the resources that the execution context will be able to use.

Find more information about how to set up the execution context in the KNIME Business Hub User Guide.

Finally, you can configure wether you want the execution context to automatically start and stop. To do so click Set under Configure start and stop behavior and select On (the setting is Off by default) from the toggle on top. Then you can indicate the desired inactivity time (in minutes) for the execution context to stop.

The execution context will start automatically when a queued workflow needs to run and stop automatically when there are no more active or queued workflows.

Click Submit to create the execution context. A notification will appear where you can click Manage access to share the execution context with the teams.

At any time you can also manage the access to a shared execution context bx clicking the icon in the corresponding tile and selecting Manage access from the menu.

Figure 5. Manage access for a shared execution context

Manage shared execution contexts

Also from the Execution resources page you can have an overview about the current status of an execution context, which teams have access to it, how many jobs are running and also manage the execution context performing the following operations:

Start and Stop an execution context by clicking the Start/Stop button in the tiles
Click the icon in the tile and from the menu that opens you can:
- Edit: You can change the parameters and configurations in the right side panel that opens.
- Manage access: Manage the access of teams to a shared execution context.
- Enable/Disable: You will need first to delete the jobs associated to the execution context then proceed with disabling it.
- Delete: As a Hub administrator you can delete a shared execution context. You will need to first, delete the jobs associated to the execution context then proceed with disabling it. Finally, you can delete the shared execution context.
- Show details: Selecting this option will open a new page with a list of all the jobs that are running on that execution context, the usage of the execution context (e.g. how many vCores are in use) and other information. You can also switch to the specific Executor tab to see more details about the executor.
  
  Figure 6. Additional executor information page

Advanced configuration of execution contexts

Execution contexts can be created and edited also via the Business Hub API.

Find more information on the available configurations in the Advanced configuration of execution contexts section in KNIME Business Hub User Guide.

Users management

To see a list of all the users that have access to your KNIME Business Hub instance you can go to the KNIME Business Hub Administration page and select Users from the menu on the left.

Figure 7. Manage users on KNIME Business Hub Administration page

Here you can filter the users based on their team, the type of users and their username and name. To do so click the funnel icon in the users list. You can also search the users by using the magnifier icon and typing the keyword in the field that appears.

Delete a user

You can delete a user from the KNIME Business Hub Administration page. Click the three dots and select Delete. You will need to confirm the user deletion in the window that opens by clicking Delete user. Be aware that this action will also delete all data from the deleted user and it will not be possible to restore the user.

Note that this user will continue to exist in Keycloak itself and you may want to delete it from there as well.

Make a user Hub admin

Users are managed in the backend via the Keycloak instance embedded in KNIME Business Hub. Therefore, the operation of promoting a registered user to the role of Hub admin is done in Keycloak.

To do so follow these steps:

First you will need to access the keycloak admin console. To do so you will need the credentials that are stored in a kubernetes secret called credential-knime-keycloak in the knime namespace. To get the required credentials, you need to access the instance the Business Hub is running on and run the following command:
```
kubectl -n knime get secret credential-knime-keycloak -o yaml
```
This will return a file that contains the ADMIN_PASSWORD and the ADMIN_USERNAME. Please notice that they are both base64 encrypted. In order to get the decrypted username and password, you can run the following commands:
```
echo <ADMIN_PASSWORD> | base64 -d
echo <ADMIN_USERNAME> | base64 -d
```
Then go to http://auth.<base-url>/auth/ and login.
In the top left corner click the dropdown and select the "Knime" realm, if you are not there already.

Figure 8. Select the "Knime" realm
Navigate to the Users menu and search for the user by name or email:

Figure 9. The Keycloak users menu

In order for a user to appear in this list, it is necessary that they have logged into your KNIME Business Hub installation at least once.
Click the user and go to the Groups tab. Click Join Group and either expand the hub group by clicking it, or search for "admin". Select the admin group and click Join:

Figure 10. Making a user a Hub admin in Keycloak. If you are searching for the group then the group might show up under its full path "/hub/admin"
Done. The user now has the role of Hub admin, and can access the admin pages from within the Hub application to e.g., create teams or delete users.

Please notice that right now there are some operations that can be performed only by the global admin user that was created contextually to the KNIME Business Hub instance installation. Therefore, it is recommended to not delete the corresponding global admin user even when more users have been promoted to global admin users.

Expose external groups inside KNIME Business Hub

As a Global KNIME Hub administrator you can configure groups that are provided via an external identity provider to be exposed inside the KNIME Business Hub instance.

Two possible sources for your external groups are:

Groups are provided within the access token of your OIDC provider.
Groups are imported from LDAP by federating the login.

External OIDC provider

Assume you have an identity provider that provides groups through a groups claim in the access token.

{
    ...,
    "groups": [
	    "finance",
	    "marketing",
	    "data"
    ]
}

First you need to configure Keycloak in such a way that it can map these groups to a user attribute. The second step is to add a mapper that maps these user attributes into the Keycloak’s tokens.

Your third-party identity provider should have been set up already. Keycloak has to be configured as follows:

First step is to add an Attribute Importer Mapper.

In Keycloak select realm Knime in the top left dropdown menu
On the left tab select Identity Providers
Select your third-party provider
Switch to the tab Mappers and click on Add mapper
Provide a name for the mapper and set the Sync mode override to Force to ensure that the user’s group memberships are updated upon every login
Set Mapper type to Attribute importer
Enter the Claim that contains the external groups in the original token (in our example groups)
In the User Attribute Name field enter external-groups
Click on Save

Now, every user in Keycloak who logged in after the mapper has been added will have an external-groups attribute associated like in the following picture:

Now, the external groups are known to Keycloak. To expose them inside KNIME Business Hub they need to be mapped into the access tokens issued by Keycloak. For this a second mapper needs to be added, that maps the user attribute external-groups to a claim in the user’s access token.

To do this you need to add a client scope, which includes a mapper for the user attribute.

On the left tab select Client scopes
Select groups
Switch to the tab Mappers
Click on Add mapper > By configuration and select User Attribute from the list
Provide a name, e.g. external-groups-attribute-mapper
Set both fields User Attribute and Token Claim Name to external-groups
Ensure that Add to ID token, Add to access token, Add to userinfo, and Multivalued are turned on and that Aggregate attribute values is turned off
Click on Save

With both mappers in place, the external groups are part of the access tokens issued by Keycloak. By this, the external groups are exposed inside KNIME Business Hub. In order to enable external groups to be used for permissions and access management they need to be configured separately through the admin REST API as described in Enable external groups.

LDAP federation

If you have user federation configured for an LDAP instance that also supplies external group names you need to configure mappers that map these groups into the access tokens used inside the Hub instance.

To ensure that groups from Keycloak groups and groups from LDAP are not mixed we recommend to treat external groups as realm roles.

In order to do this we recommend to first create a dummy client for which roles can be created based on the LDAP groups. This will guarantee that any changes will be compatible with future changes to the KNIME Hub client in Keycloak.

To create a new client follow these steps:

In Keycloak select realm Knime in the top left dropdown menu
On the left tab select Clients and click Create client
Set Client type to OpenID Connect
Enter a Client ID (in our example external-group-client), and a useful Name and Description
Click on Next
De-select all checkboxes of Authentication flow in the Capability config section, since this client will not require any capabilities
Enable Client authentication
Click on Save

Now that the dummy client is set up, you can proceed to create a mapper that maps the user groups from LDAP to roles inside the dummy client:

On the left tab select User federation and click on your LDAP configuration
Switch to the tab Mappers
Click on Add mapper
Provide a name, e.g. ldap-group-to-dummy-client-role-mapper
Set Mapper type to role-ldap-mapper
Setup the mapper according to your LDAP
Disable User Realm Roles Mapping
Set Client ID to the previously created dummy client (in our example external-group_client)
Click on Save

Now if a user logs in with the LDAP credentials the user’s groups will be mapped to ad-hoc created client roles inside the 'external-group-client'.

Next, you need to create a mapper that maps a user’s realm roles from the dummy realm to the access tokens:

On the left tab select Client scopes
Select groups
Switch to the tab Mappers
Click on Add mapper > By configuration and select User Client Role from the list
Provide a name, e.g. external-ldap-client-role-mapper
Set Client ID to the previously created dummy client (in our example external-group_client)
Set Token Claim Name to external-groups
Set Claim JSON Type to String
Ensure that Add to ID token, Add to access token, Add to userinfo, and Multivalued are turned on
Click on Save

Enable external groups

Once you have configured the external groups in Keycloak you need to create the groups that you want to be available inside KNIME Business Hub.

To do so you have to make a PUT request to the corresponding endpoint:

PUT https://api.<base-url>/accounts/hub:global/groups/<external-group-name>

where <external-group-name> is the name of the group and it must match the group name in the external identity provider.

You can use the following JSON type body in order to set a display name for the group to be shown on KNIME Business Hub.

{
  "displayName": "My Group Display Name"
}

Docker executor images

In order to create execution contexts for their teams, team admins will need to reference the Docker image of the KNIME Executor that they want to use.

Public Docker executor images are made available by KNIME which correspond to the full builds of KNIME Executor versions 4.7.0 and higher.

The currently available executor images have the following docker image name:

registry.hub.knime.com/knime/knime-full:r-4.7.4-179
registry.hub.knime.com/knime/knime-full:r-4.7.5-199
registry.hub.knime.com/knime/knime-full:r-4.7.6-209
registry.hub.knime.com/knime/knime-full:r-4.7.7-221
registry.hub.knime.com/knime/knime-full:r-4.7.8-231
registry.hub.knime.com/knime/knime-full:r-5.1.0-251
registry.hub.knime.com/knime/knime-full:r-5.1.1-379
registry.hub.knime.com/knime/knime-full:r-5.1.2-433
registry.hub.knime.com/knime/knime-full:r-5.1.3-594
registry.hub.knime.com/knime/knime-full:r-5.2.0-271
registry.hub.knime.com/knime/knime-full:r-5.2.1-369
registry.hub.knime.com/knime/knime-full:r-5.2.2-445
registry.hub.knime.com/knime/knime-full:r-5.2.3-477

Please note that with the release of 5.2.2 KNIME executors will have HTML sanitization of old JavaScript View nodes and Widget nodes turned on by default. This should ensure that no malicious HTML can be output. For more information check the KNIME Analytics Platform 5.2.2 changelog.

However you might want to add specific extensions to the KNIME Executor image that is made available to team admins to create execution contexts.

The following section explains how to do so.

Add extensions to an existing Docker image

In order to install additional extensions and features to the KNIME Executor image, you will need to first create a Dockerfile. The file is named Dockerfile with no file extension. You can use the example Dockerfile below which demonstrates how to extend the base image with a custom set of update sites and features.

If you need to install Docker please make sure not to install it on the same virtual machine (VM) where the KNIME Business Hub instance is installed, as it might interfere with containerd, which is the container runtime used by Kubernetes.

# Define the base image
FROM registry.hub.knime.com/knime/knime-full:r-4.7.4-179

# Define the list of update sites and features
# Optional, the default is the KNIME Analytics Platform update site (first entry in the list below)
ENV KNIME_UPDATE_SITES=https://update.knime.com/analytics-platform/4.7,https://update.knime.com/community-contributions/trusted/4.7
# Install a feature from the Community Trusted update site
ENV KNIME_FEATURES="org.knime.features.geospatial.feature.group"

# Execute extension installation script
RUN ./install-extensions.sh

The KNIME_UPDATE_SITES environment variable determines the update sites that will be used for installing KNIME Features. It accepts a comma-delimited list of URLs. The KNIME_FEATURES environment variable determines the extensions which will be installed in the KNIME Executor. It accepts a comma-delimited list of feature group identifiers. A corresponding update site must be defined in the KNIME_UPDATE_SITES list for feature groups to be successfully installed. You can get the necessary identifiers by looking at Help → About KNIME → Installation Details → Installed Software in a KNIME instance that has the desired features installed. Take the identifiers from the "Id" column and make sure you do not omit the .feature.group at the end (see also screenshot on the next page). The base image contains a shell script install-extensions.sh which lets you easily install additional extensions in another Dockerfile.

Once the Dockerfile has been customized appropriately, you can build a Docker image from it by using the following command:

# Replace <image_name> and <tag_name> with actual values
docker build -t <image_name>:<tag_name> .

Python and Conda in Docker images

When you create an Execution Context on KNIME Business Hub based on a full build you will have KNIME Python bundled available. If you need additional libraries you would need to make them available on the Hub instance.

You can do this in two ways:

Use the Conda Environment Propagation node.
Customize the Executor image used.

To get started with Conda environment propagation, check out KNIME Python Integration Guide. However, any libraries installed using Conda environment propagation will be removed when the executor restarts and installed again next time, so libraries that are used often should be installed as part of the executor Docker image.

In order to do so you need to:

Install Python in the executor Docker image
Declare to the execution context the path to the Python installation folder so that the executor can execute Python nodes

Install Python in the executor Docker image

The first step is the installation of Python and an environment manager for instance miniconda on a Docker image.

To do so, first you need the Docker Project to hold a miniconda installer near the Dockerfile, for example:

python-image/
  container/
  |-Miniconda3-py310_23.3.1-0-Linux-x86_64.sh
  dockerfiles/
  |-Dockerfile

You will also need to provide a .yml file that will contain all the modules, packages and Python version that you need to install in order to execute the Python scripting nodes.

The .yml file could look like the following:

name: py3_knime # Name of the created environment
channels: # Repositories to search for packages
  - defaults
  - anaconda
  - conda-forge
dependencies: # List of packages that should be installed
# - <package>=<version> # This is an example of package entry structure
  - python=3.6 # Python
  - scipy=1.1 # Notebook support
  - numpy=1.16.1 # N-dimensional arrays
  - matplotlib=3.0 # Plotting
  - pyarrow=0.11 # Arrow serialization
  - pandas=0.23 # Table data structures

Then you need to pull any available executor Docker image, install miniconda in batch mode on the image and define the environment variable for conda, as in the following example. Also you will need to create your environments, that you specified in the .yml files.

# getting recent knime-full image as a basis
FROM registry.hub.knime.com/knime/knime-full:r-4.7.3-160

# getting Miniconda and install in batch mode
COPY container/Miniconda3-py310_23.3.1-0-Linux-x86_64.sh /home/knime/miniconda-latest.sh
RUN bash miniconda-latest.sh -b

# adding path to Miniconda bin folder to system PATH variable
ENV PATH="/home/knime/miniconda3/bin:$PATH"

# copy default conda environments into container
COPY --chown=knime envs/ ./temp_envs
RUN conda env create -f ./temp_envs/py3_knime.yml && \
    rm -rf ./temp_envs

When installing conda and creating the environments you will obtain the following paths that will need to be added in the .epf file of the customization profile during the set up of the execution context.

For example based on the above Dockerfile:

<path to conda installation dir>=/home/knime/miniconda3/
<path to default conda environment dir>=<path to conda installation dir>/envs/<name of the env>

Now you can build the new Docker image, for example:

docker build . -f /dockerfiles/Dockerfile -t knime-full:4.7.3-with-python

Finally retag the image to make it useable for your embedded registry on Business Hub:

docker tag knime-full:4.7.3-with-python registry.<hub-url>/knime-full:4.7.3-with-python

Once you have created the Docker image with Python installed create an execution context that uses the newly created Docker image.

Set up the execution context

Now you need to set up and customize the execution context.

In order to declare to the execution context the path to the Python installation you will need to build a dedicated customization profile and apply it to the execution context.

Build the .epf file by following the steps in KNIME Python Integration Guide and exporting the .epf file. To export the .epf file from KNIME Analytics Platform go to File > Export Preferences…
Open the file and use only the parts related to Python/conda.

The .epf file could look like the following:

/instance/org.knime.conda/condaDirectoryPath=<path to conda installation dir>
/instance/org.knime.python3.scripting.nodes/pythonEnvironmentType=conda
/instance/org.knime.python3.scripting.nodes/python2CondaEnvironmentDirectoryPath=<path to default conda environment dir>
/instance/org.knime.python3.scripting.nodes/python3CondaEnvironmentDirectoryPath=<path to default conda environment dir>

Find more details on how to set-up the .epf file in the Executor configuration section of the KNIME Python Integration Guide.

Now follow these steps to customize the execution context:

Build the .zip file containing the customization profile using the .epf file you just created.
Upload the customization profile .zip file to KNIME Business Hub.
Apply the customization profile to the execution context.

Customization profiles

Customization profiles are used to deliver KNIME Analytics Platform configurations from KNIME Hub to KNIME Analytics Platform clients and KNIME Hub executors.

This allows to define centrally managed:

Update sites
Preference profiles (such as Database drivers, Python/R settings)

A profile consists of a set of files that can:

Be applied to the client during startup once the KNIME Analytics Platform client is configured. The files are copied into the user’s workspace.
Be applied to the KNIME Hub executors of the execution contexts.

Customization profiles can be:

Global customization profiles that need to be uploaded and managed by the Global Admin. These can be applied across teams via shared execution context or to specific teams.
Team’s customization profiles, which are scoped to the team, can be uploaded either by a Global Admin or a team admin.

Every user of the KNIME Business Hub instance can then download and use customization profiles.

Currently, customization profiles can be managed on KNIME Hub via REST or using the dedicated Customization Profile data application available here.

Create a customization profile

A customization profile is a file with the .epf extension, that contains the needed profile information. So the first step is to create such a file.

Create an .epf file that contains the needed profile information:
1. Build the file from a local KNIME Analytics Platform installation. Set up the needed configuration in a local KNIME Analytics Platform installation, then go to File → Export Preferences. Open the created .epf file, and look for the entries related to your needed settings. Remove all other settings (as some contain e.g. local paths on your machine, which will inevitably cause issues when applying to another installation).
2. Place the .epf file in a folder, together with any additional files that need to be distributed along the profile (e.g. database drivers)
3. Create a .zip from that folder

When creating a zip file on macOS using the built in functionality, two files are automatically added that cause the next steps (i.e. applying the profile in Analytics Platform) to fail. There is a way to prevent creation of these files if creating the .zip via command line, see here. If in doubt, use a Windows or Linux machine to create the .zip file.

The customization profiles on the KNIME Hub instance are going to be accessible without user authentication therefore they shouldn’t contain any confidential data such as passwords.

For further details and an example on how to distribute JDBC driver files go to the Hub-managed customization profiles section of the KNIME Database Extension Guide.

Variable replacement

It is possible to use variables inside the preferences files (only those files ending in .epf) which are replaced on the client right before they are applied. This makes the Hub-managed customizations even more powerful. These variables have the following format: ${prefix:variable-name}. The following prefixes are available:

env: the variable is replaced with the value of an environment value. For example, ${env:TEMP} will be replaced with /tmp under most Linux systems.
sysprop: the variable is replaced with a Java system property.
For example, ${sysprop:user.name} will be replaced with the current user’s name. For a list of standard Java system properties see the JavaDoc. Additional system properties can be defined via -vmargs in the knime.ini.
profile: the variable will be replaced with a property of the profile in which the current preference file is contained in. Currently location and name are supported as variable names. For example, ${profile:location} will be replaced by the file system location of the profile on the client. This can be used to reference other files that are part of the profile, such as database drivers:
org.knime.workbench.core/database_drivers=${profile:location}/db-driver.jar

In case you want to have a literal in a preference value that looks like a variable, you have to use two dollar signs to prevent replacement. For example $${env:HOME} will be replaced with the plain text ${env:HOME}. If you want to have two dollars in plain text, you have to write three dollars ($$${env:HOME}) in the preference file.

Once you use variables in your preference files they are not standard Eclipse preference files anymore and cannot be imported as they are.

Client customization

Besides the preferences that are exportable by KNIME Analytics Platform there are additional settings that can be added to the preference files to customize clients:

/instance/org.knime.workbench.explorer.view/defaultMountpoint/defaultMountpoints=<mount id1>,<mount id2>,…: A comma separated list of default mountpoints that should be loaded,e.g. LOCAL,EXAMPLES,My-KNIME-Hub. Changes to this list only affects new workspaces, i.e. workspaces which already contain default mountpoints will still contain them even though they haven’t been defined here. If this option is absent and defaultMountpoint/enforceExclusion isn’t set to true then all default mountpoints will be added. The current default mountpoints are LOCAL, EXAMPLES, and My-KNIME-Hub.

/instance/org.knime.workbench.explorer.view/defaultMountpoint/enforceExclusion=<true|false>: If set to true then all default mountpoint not defined by /instance/org.knime.workbench.explorer.view/defaultMountpoint/defaultMountpoints will be removed on start up. Please note that if you want to use this option, the default mountpoints you want to include should only be listed in /instance/org.knime.workbench.explorer.view/defaultMountpoint/defaultMountpoints, and not in their full definition like when exporting the preferences.epf file from a KNIME Analytics Platform.

/instance/com.knime.customizations/helpContact.buttonText=<label, e.g. Contact Support>: If set together with /instance/com.knime.customizations/helpContact.address a button with the provided label will occur under Help in KNIME Analytics Platform. Clicking on the button will, depending on the helpContact.address, either open the default mail client or the default browser with the provided address.

/instance/com.knime.customizations/helpContact.address=<uri, e.g. mailto:support@company or https://company/support>: Sets the address of the support contact.
This option only takes effect in combination with /instance/com.knime.customizations/helpContact.buttonText.

/instance/com.knime.customizations/documentation.buttonText=<label, e.g. Documentation>: Sets the label of the documentation button that can be found under Help in KNIME Analytics Platform. Clicking on the button will open the default browser and navigate to the documentation. If set to - the button will be hidden.

/instance/com.knime.customizations/documentation.address=<uri, e.g. https://company/documentation or file:///sharedSpace/documentation>: Sets the address of the documentation.
By default the documentation address points to the KNIME documentation.

/instance/com.knime.customizations/windowTitle.appendix=<appendix, e.g. sponsored by company>: Adds the appendix to the window title of KNIME Analytics Platform.
-

/instance/com.knime.customizations/updateSite.uris=<uri>,<uri>,…: Adds the provided addresses to the update sites.
-

/instance/com.knime.customizations/updateSite.names=<name>,<name>,…: The names that are shown under Available Software Sites for the provided update sites. Note that the number of names must match the number of provided URIs.

/instance/com.knime.customizations/updateSite.default.disable=<true|false>: Disables the default update sites added by KNIME after a fresh installation or update. If a user enables these update sites again they will remain enabled.

/instance/com.knime.customizations/updateSite.default.forceDisable=<true|false>: Disables the default update sites added by KNIME after a fresh installation or update. If a user enables these update sites again they will be disabled with the restart of their client.

Upload a customization profile

After creating the .zip file, you need to upload it to KNIME Business Hub. You can do it via REST or via data application.

Upload via Data Application

If you have not done so already, on KNIME Business Hub, create an application password for the user uploading the profile.
1. For global customization profiles, use a global admin user.
2. For team’s customization profiles, the user can be either a global admin user or a team admin user.
Download the workflow:

Click here and download the workflow to your KNIME Analytics Platform.
Upload the downloaded workflow to your KNIME Business Hub instance via KNIME Analytics Platform.
Deploy the workflow as a data application. You can learn more about how to do it here.
The first step to begin using the data application is establishing a connection with the Hub instance. You must enter your Hub URL and application password in the data app to connect to your KNIME Business Hub instance.

Figure 11. The Hub connection step.
Select Upload a New Customization Profile in the Action Selection menu and click Next. You can upload multiple customization profiles to your KNIME Business Hub instance.

Figure 12. The upload option is selected in the action selection step.
In the next step, select the customization profile file previously created, give it a name, and define its scope.
1. Global Admin: You can choose the customization profile scope if logged in to the Data App as a Global Admin.
  1. Global scope: After being uploaded to KNIME Business Hub, the global customization profile can be applied to a shared or a team execution context.
  2. Team scope: When a customization profile with team scope is uploaded, it can be applied to the team’s executors. It is possible to upload the same customization profile to multiple teams. The Global Admin can upload the customization profile to any team.
    
    Figure 13. Global Admin executing the data app
2. Team Admin: If you’re logged in as a team admin, you can only upload the customization profile as a team-scoped type. You can upload the same customization profile for multiple teams. The availability of teams is determined by the permissions of the user who is logged in.
In the Upload Results step, a table displays the results of the customization profile upload operation, along with a legend.

If everything goes well, the green light means your customization profile has been successfully uploaded to the KNIME Business Hub. You can now apply it to a KNIME Analytics Platform installation or to a KNIME Business Hub executor.
Error Handling: The data application is designed to handle two types of errors:
1. Missing customization profile file.
  
  Figure 14. This error occurs when no customization profile file is provided.
2. No team selection (for team-scoped customization profiles).
  
  If you encounter an error message, click Next and select the Turn back to the choose action menu option. Repeat the operation, fixing the error.
  
  Figure 15. Turn back to the action menu and repeat the operation.
Click Next to finish the operation. You can return to the Action Selection menu to perform additional actions or close the data application directly.

Upload via REST request

If you have not done so already, on KNIME Business Hub, create an application password for the user uploading the profile.
1. For global customization profiles, use a global admin user.
2. For team’s customization profiles, the user can be either a global admin user or a team admin user.
Send a POST request to https://api.<base-url>/execution/customization-profiles with the following set up:
1. Authorization: select Basic Auth, using username and password from the created application password
2. Body: select form-data as request body type and add the following entries:
  1. Add a new key, set content to “File”. Name of the key needs to be “content”. The value of the key is the .zip file containing the profile, and the content type is application/zip.
  2. Add a new key, set content to “Text”. Name of the key needs to be “metadata”.
    
    The value of the key is:
    
    For global customization profiles enter:
    
    { "name": "<profile_name>", "scope": "hub:global" }
    
    For team’s customization profiles you first need to obtain the <team_ID> of the team you want to upload the customization profile to. To do so you can use the following GET request:
    
    GET api.<base-url>/accounts/identity
    
    You will find the <team_ID> in the body response under teams:
    
    ... "teams": [ { "id": "account:team:<team_ID>", "name": "<team_name>", ... } ] ...
    
    Then the value of the key is:
    
    { "name": "<profile_name>", "scope": "account:team:<team_ID>" }
    
    Set the content type for the second key to application/json
3. When using Postman there is no need to manually adjust the headers
Send the request

Figure 16. Set up Postman for a REST call to upload a customization profile to a KNIME Hub instance
If successful, you will receive a 201 status response. Make note of the created <profile_ID>, as this will be used to refer to the profile when requesting it.

You can refer to the API documentation at the following URL for more details about the different calls you can make to the Customization Profiles endpoint.

http://api.<base-url>/api-doc/execution/#/Customization%20Profiles

Apply a customization profile

Apply a customization profile to KNIME Hub executor

Apply via Data App

To apply a customization profile to all executors running in a KNIME Business Hub execution context, we can use the data application. However, the type of user logged in affects the operations that can be performed. Refer to the table below for a comprehensive overview.

Table 1. Apply customization profile: user rights
User type	Eligible customization profile	Customization profile type	Eligible Execution Context
Global Admin	All uploaded within the KNIME Business Hub instance	Global	Shared and any team specific execution context
Global Admin	All uploaded within the KNIME Business Hub instance	Team-scoped	Any team execution contexts
Team admin	Only those uploaded in teams in which the user has team admin rights	Team-scoped only	Only the team execution contexts where the customization profile was uploaded. Shared execution contexts are not eligible

To provide a better understanding of the table, here are some examples to demonstrate its functionality:

A Global Admin can choose one team-scoped customization profile and apply it to any team-scoped execution context within the KNIME Business Hub instance. For instance, the Global Admin can apply Team A’s customization profile to the execution context of Team B, i.e., execution context B.1.
A Global Admin can also select a Global customization profile and apply it to any shared and team-scoped execution context within the KNIME Business Hub instance.
A team admin can only choose team-scoped customization profiles uploaded within the teams with admin rights. For example, they can only apply a customization profile uploaded in Team A within the Team A execution contexts.

Learn how to download the data app from Community Hub, upload and deploy it in KNIME Business Hub, and authenticate with your application password in the Upload a customization profile section.
Select Apply an existing Customization Profile in the Action Selection menu to apply a Customization Profile.
Choose the desired customization profile from the table and click Next. In the table, if the Team name column has a value of Any, the customization profile has a global scope and can be applied to any team.

Figure 17. A Global Admin could select a global or team-scoped customization profile.

It is only possible to apply one customization profile at a time. To apply multiple customization profiles, repeat the operation.

When you reach the Apply customization profile step, choose the option Apply one customization profile to KNIME Hub Executor. You’ll see a table that shows the available execution contexts based on your user type and the previously selected customization profile scope.

Applying a new customization profile with the same name as an existing one to an execution context causes an internal error. Check the "Existing customization profiles name" column to avoid this.

Select one or more execution contexts from the table where you want to apply the customization profile and click Next.

Figure 18. The team admin can apply a customization profile uploaded to the Dev Team to the team-scoped execution contexts.

In the Application Results step, a table displays the results of the customization profile application operation, along with a legend.

If everything goes well, the green light indicates that your customization profile has been successfully applied to KNIME Business Hub executors for the selected execution contexts.

Figure 19. The team admin has applied the Python profile to two different execution contexts for the same team.
Error Handling: The data application handles two types of errors for the application branch.:
1. No customization profiles were uploaded to the KNIME Business Hub.
2. Attempting to apply a customization profile to an execution context with a customization profile with the same name.
  
  Figure 20. A view of the error.
3. No customization profile was selected.
4. When no execution contexts were chosen to apply the customization profile.
  
  If you encounter an error message, click Next and select the Turn back to the choose action menu option. Repeat the operation, fixing the error.
  
  Figure 21. Turn back to the action menu and repeat the operation.
Click Next to finish the operation. You can return to the Action Selection menu to perform additional actions or close the data application directly.

Apply via REST request

In order to apply a customization profile to all executors running in a KNIME Business Hub execution context, you will need to send a request to the execution context endpoint.

First you need to get the execution context ID. To do so you can use the following GET request to get a list of all the execution contexts that are owned by a specific team:

GET api.<base-url>/execution-contexts/account:team:<team_ID>

If you are a global admin you can also GET a list of all the execution contexts available on the Hub instance with the call GET api.<base-url>/execution-contexts/.

Now you can apply the new customization profile to the selected execution context.

You will need to obtain the <profile_ID> using the following GET request:

For global customization profiles:

GET api.<base-url>/execution/customization-profiles/hub:global

For team’s customization profiles:
```
GET api.<base-url>/execution/customization-profiles/account:team:<team_ID>
```
Refer to the above section to find out how to get the <team_ID>.

Then you need to update the execution context by using the following PUT request:

PUT api.<base-url>/execution-contexts/<execution-context_ID>

You need to select Body > raw > JSON and add the following to the request body:

{
"customizationProfiles": [
    "<profile_ID>"
  ]
}

This will cause a restart of all executor pods of this execution context, after which the profile will be applied.

At present, this will also terminate all jobs currently running on the executor.

Update a customization profile

It is possible to update customization profiles uploaded to KNIME Business Hub. This can be done even if the customization profile has already been applied to the KNIME Business executor via execution context. You can update two features:

The customization profile name.
The customization profile zip file can be overwritten. Refer to the create a customization profile section to learn how to make one.

Update via Data Application

Users can use the customization profile data app to update customization profiles previously uploaded to the KNIME Business Hub.

Depending on the user’s role as a Global Admin or a Team Admin, they can access and update specific customization profiles:

Global Admin: can update all uploaded customization profiles within the current KNIME Business Hub instance, either team or global-scoped customization profiles.
Team Admin: can only update team-scoped customization profiles from their own teams.

Learn how to download the data app from Community Hub, upload and deploy it in KNIME Business Hub, and authenticate with your application password in the Upload a customization profile section.
Select Update an existing Customization Profile in the Action Selection menu to update a Customization Profile. Choose the desired customization profiles from the table and click Next.

Figure 22. A team admin could select only team-scoped customization profiles.

You can choose to update multiple customization profiles at the same time.

In the Update Customization Profile step, you can change the customization profile name by double-clicking the corresponding table cell and uploading a new customization profile to overwrite the existing one.

Refer to the "File uploaded" column for the currently assigned customization profile file.

Figure 23. A Global Admin updating two customization profiles at once.

Updating multiple customization profiles at once is possible, but it’s important to note that you can only upload a single customization profile file for all the customization profiles. Although each customization profile can be renamed, they will all share the same customization profile file.

In the Update Results step, a table displays the results of the customization profile updating operation, along with a legend.

If everything goes well, the green light indicates that your selected customization profiles have been successfully updated with new names and a new customization profile file.

Figure 24. The outcome of updating two customization profiles.

The updated customization profiles will be automatically applied to execution contexts or KNIME Analytics Platform clients using it.
Error Handling: The data application handles two types of errors for the update option:
1. An error will occur if the user does not upload a new customization profile file during the Update Customization Profile step.
  
  Figure 25. A view of the error.
2. No customization profiles were selected in the Update Customization Profile step.
  
  If you encounter an error message, click Next and select the Turn back to the choose action menu option. Repeat the operation, fixing the error.
  
  Figure 26. Turn back to the action menu and repeat the operation.
Click Next to finish the operation. You can return to the Action Selection menu to perform additional actions or close the data application directly.

Update via REST request

Updating a customization profile is like replacing an existing profile with a new file and name.

If you want to update a customization profile via REST request, the process is similar to the uploading process. The only difference is that instead of a POST Request, you need to perform a PUT Request and specify the ID of the customization profile.

If you have not done so already, on KNIME Business Hub, create an application password for the user uploading the profile.
1. For global customization profiles, use a global admin user.
2. For team’s customization profiles, the user can be either a global admin user or a team admin user.
To begin, you will need to get the list of all uploaded customization profiles on KNIME Business Hub:

You can obtain the <profile_ID> using the following GET request:

For global customization profiles:
```
GET api.<base-url>/execution/customization-profiles/hub:global
```
For team’s customization profiles:
```
GET api.<base-url>/execution/customization-profiles/account:team:<team_ID>
```
Refer to the above section to learn how to get the <team_ID>.
Updating a customization profile is similar to uploading it via a REST Request. However, unlike uploading, we only need to provide the name and file of the customization profile for updating. So, we don’t need to provide the scope as it remains the same.
1. Send a PUT request to https://api.<base-url>/execution/customization-profiles/<customization-profile-ID> with the following set up:
2. Authorization: select Basic Auth, using username and password from the created application password
3. Body: select form-data as request body type and add the following entries:
  1. Add a new key, set content to “File”. Name of the key needs to be “content”. The value of the key is the .zip file containing the profile, and the content type is application/zip.
  2. Add a new key, set content to “Text”. Name of the key needs to be “metadata”.
    
    The value of the key is the same for global and team-scoped customization profiles:
    
    { "name": "<profile_name>" }
    
    Set the content type for the second key to application/json
4. When using Postman there is no need to manually adjust the headers
Send the request

Detach a customization profile

It’s important to know that detaching a customization profile is not the same as deleting it. When you detach a customization profile, it isn’t removed from KNIME Business Hub. Instead, it just means that the customization profile won’t be applied to the KNIME Analytics Platform or the KNIME Business executors.

However, the customization profile is still available in KNIME Business Hub, so it can be reused again whenever needed.

Detach a customization profile from a KNIME Business Hub executor

Detaching a customization profile applies only to those customization profiles applied to a KNIME Business Hub executor via execution context. Separating a customization profile from its execution context is the prerequisite step to deleting a customization profile from a KNIME Business Hub instance.

Detaching a customization profile from an execution context can also be done if the user no longer wants to apply the customization to the executors.

Detach via Data Appliation

The data application allows users to detach customization profiles applied to execution contexts in KNIME Business Hub.

For instructions on how to apply a customization profile to an execution context, refer to this section.

The customization profiles available for detachment depend on the user type:

Global Admin: can detach all applied customization profiles within the current KNIME Business Hub instance, either team or global-scoped customization profiles.
Team Admin: can only detach team-scoped customization profiles from their own teams.
1. Learn how to download the data app from Community Hub, upload and deploy it in KNIME Business Hub, and authenticate with your application password in the Upload a customization profile section.
2. Select Detach a customization profile from an execution context in the Action Selection menu to detach a customization profile. Choose the desired customization profiles from the table and click Next.
  
  Figure 27. A Global admin is able to detach either team or global-scoped customization profiles.
  
  You can choose to detach multiple customization profiles at the same time.
3. Once you click on Next, a table will be displayed showing all the execution contexts where the selected customization profiles have been applied.
4. At this point, you can choose multiple execution contexts to detach the customization profile.
5. Notice that for execution contexts with global scope, all teams where they are in use are listed in the column Team name. By detaching the customization profile from such an execution context, you will detach it from all the teams where the execution is being applied.
  
  Figure 28. Here’s an example of a global execution context shared between three teams.
6. After you perform the Detach Results step, a table will appear showing you the customization profile detach operation results.
  
  If everything goes well, the green light indicates that your selected customization profiles have been successfully detached from the selected execution contexts.
  
  Figure 29. The outcome of detaching two customization profiles.
  
  Detaching a customization profile from an execution context doesn’t remove it from the Business Hub or other execution contexts using the same profile.
7. Error Handling: The data application handles three types of errors for the detach option:
  1. An error will occur if no customization profiles are applied to any KNIME Business Hub execution context. In this case, you must select the option to Apply an existing customization profile.
  2. An error is raised if the user:
    
    Does not select any customization profile to detach.
    
    If there are no execution contexts selected from where to detach the customization profiles.
    
    Figure 30. A view of one of the possible errors.
    
    If you encounter an error message, click Next and select the Turn back to the choose action menu option. Repeat the operation, fixing the error.
    
    Figure 31. Turn back to the action menu and repeat the operation.
8. Click Next to finish the operation. You can return to the Action Selection menu to perform additional actions or close the data application directly.

Detach via REST request

You can detach a customization profile from a KNIME Business Hub execution context, which is the inverse of applying it. The steps for detaching a customization profile are similar to applying one.

To detach a customization profile from all executors running in a KNIME Business Hub execution context, you must send a request to the execution context endpoint, not including the customization profile ID that you want to detach.

If you have not done so already, on KNIME Business Hub, create an application password for the user uploading the profile.
1. For global customization profiles, use a global admin user.
2. For team’s customization profiles, the user can be either a global admin user or a team admin user.
First, you need to get the execution context ID. To do so, you can use the following GET request to get a list of all the execution contexts that are owned by a specific team:
```
GET api.<base-url>/execution-contexts/account:team:<team_ID>
```
If you are a Global Admin you can also GET a list of all the execution contexts available on the Hub instance with the call GET api.<base-url>/execution-contexts/.
Retrieve the existing customization profiles in the execution context from the above Get Request response. Look for a key in the JSON body similar to:
```
"customizationProfiles" : [ "<customization-profile-ID_1>",<customization-profile-ID_2>" ]
```
Now, you can detach the target customization profile from the selected execution context. To do so, you need to update the execution context by using the following PUT request:
```
PUT api.<base-url>/execution-contexts/<execution-context_ID>
```
To detach a customization profile, e.g. <customization-profile-ID_1>, from the target execution context, follow these steps. Select Body > raw > JSON and ensure you do not include the customization profile you wish to remove. Use the syntax of the request body shown below:
```
{
"customizationProfiles": [
    "<customization-profile-ID_2>"
  ]
}
```
If the target execution context has only one customization profile attached, you can detach it by doing an empty request.
```
{
"customizationProfiles": []
}
```

Delete a customization profile

Deleting a customization profile from KNIME Business is a straightforward operation, and you can do it either through a REST request or the data application. Please follow the step-by-step guide below to understand how it works.

Please note that the type of user determines which customization profiles they can delete:

Global Admin: can delete all customization profiles within the current KNIME Business Hub instance, either team or global-scoped customization profiles.
Team Admin: can only delete team-scoped customization profiles from their own teams.

Deleting a customization profile from KNIME Business Hub requires first detaching it from any execution context where it was applied.

Please refer to the Detach a customization profile from a KNIME Business Hub executor section to understand how to detach a customization profile.

Delete via Data Application

Learn how to download the data app from Community Hub, upload and deploy it in KNIME Business Hub, and authenticate with your application password in the Upload a customization profile section.
Select Delete a customization profile from your Business Hub instance in the Action Selection menu to delete a customization crofile. Choose the desired customization profiles from the table and click Next.

Figure 32. Team admins can only delete customization profiles from teams they are admin of.

You can choose to delete multiple customization profiles at the same time.
As deleting is a delicate operation, in the next step, we offer a preview of the selected customization profiles to be deleted to ensure the user is performing the desired action.

Figure 33. Preview of the selected customization profile.

Clicking Next will delete the customization profile directly.
The Discard results section displays a table with a legend indicating the success or failure of deleting a customization profile. Green means success, red means failure, and orange means you need to detach the customization profile from the execution contexts first.

Figure 34. The deletion of a customization profile from KNIME Business Hub was successful.
Error Handling: The data application handles two types of errors for the delete option:
1. If the user doesn’t select any customization profile.
2. When deleting a customization profile still attached to an execution context, reference the Detach a customization profile from a KNIME Business Hub executor section for resolution.
  
  Figure 35. A view of one of the possible errors.
  
  If you encounter an error message, click Next and select the Turn back to the choose action menu option. Repeat the operation, fixing the error.
  
  Figure 36. Turn back to the action menu and repeat the operation.
Click Next to finish the operation. You can return to the Action Selection menu to perform additional actions or close the data application directly.

Delete via REST request

Deleting a customization profile from KNIME Business Hub is possible via a REST request.

Below are the steps to accomplish this:

If you have not done so already, on KNIME Business Hub, create an application password for the user uploading the profile.
1. For global customization profiles, use a global admin user.
2. For team’s customization profiles, the user can be either a global admin user or a team admin user.
To start, you need to retrieve the list of the uploaded customization profiles to KNIME Business Hub:

You can obtain the <customization_profile_ID> using the following GET request:

For global customization profiles:
```
GET api.<base-url>/execution/customization-profiles/hub:global
```
For team’s customization profiles:
```
GET api.<base-url>/execution/customization-profiles/account:team:<team_ID>
```
Refer to the above section to find out how to get the <team_ID>.
Once you have the <customization-profile-ID> that you want to delete, perform a DELETE Request.
1. Send a DELETE request to https://api.<base-url>/execution/customization-profiles/<customization-profile-ID> with the following set up:
  1. Authorization: select Basic Auth, using username and password from the created application password
    
    After a successful deletion, you will receive a 20* status code.

Advanced configuration

This section covers some of the configuration settings that are available for your KNIME Business Hub instance.

The following configurations are available in the KOTS Admin Console and can be changed after the installation and first minimal configuration steps are concluded successfully.

You can access the KOTS Admin Console via the URL and password you are provided in the output upon installation.

Configure networking

In the "Networking" section of the KOTS Admin Console you can:

Deploy an external load balancer for traffic ingress: this feature takes effect only if your cloud provider and kubernetes distribution support automatic load balancer provisioning.

Enable Transport Layer Security (TLS): the encryption protocol that provides communications security is highly recommended especially for KNIME Business Hub instances deployed in a production environment.

Please, be aware that if TLS is not enabled some HTTPS-only browser’s features will not be available. For example, it will not be possible for a user to copy generated application passwords.

Enable advanced ingress configuration: you can customize the ingress proxy behavior, for example configuring the read/send/connect timeouts.

Configure TLS

If you enable the Transport Layer Security (TLS) you need to have a certificate that is valid for all the URLs defined during the installation. We recommend to create a wildcard certificate for <base-url> and *.<base-url>, e.g. hub.example.com and *.hub.example.com.

Check Enable TLS in the "Networking" section of the KOTS Admin Console.

Upload your own certificate: Select Upload your own certificate to be able to upload the certificate files.

You will need an unencrypted private key file and a certificate file that contains the full certificate chain. In the certificate chain the server certificate needs to be the first in the PEM file, followed by the intermediate certificate(s). You usually can get a certificate from your company’s IT department or Certificate Authority (CA).

Another possibility, if you have a public domain name, is to use letsencrypt to obtain a certificate.

Both certificates need to be PEM formatted as requested by the ingress-nginx-controller (see the relevant documentation here).
Existing TLS Secret: Select Existing TLS Secret to specify the name of of an existing Secret of type kubernetes.io/tls in the knime namespace. It needs to have keys tls.crt and tls.key, which contain the PEM formatted private key and full chain certificate.

This option is recommended if you have an automatic process that can create and renew kubernetes.io/tls Secrets in the cluster, like the cert-manager project.

See ingress-nginx and kubernetes documentation on TLS secrets for more details.
Select AWS ACM Certificate if, instead, you have deployed an AWS Elastic Load Balancer (ELB). In this case you can use AWS Certificate Manager (ACM) and set the certificate as an annotation directly on the loadbalancer. You can find more information in AWS documentation for ACM here.

Once you obtained the certificate Amazon Resource Name (ARN) in the form arn:aws:acm:<region>:<account-id>:certificate/<certificate-id>, insert the ARN in the corresponding field as shown in the image below.

Configure Browser Security

In the "Browser Security" section of the KOTS Admin Console you can:

Specify a custom Content Security Plocy for Data App execution. It may be necessary to override the default if you are using custom JavaScript views that load external resources. The default works for all standard KNIME views. For more information about how to write the CSP statement, please refer to this resource.
Configure the X-Frame-Options header being set by webapps. This header is used to avoid click-jacking attacks, by ensuring that the sites content is not embedded into other sites. See here for more information.

Node affinity

Node affinity makes it possible to ensure that cluster resources intended for a specific task, e.g. execution resources, run on a specific set of nodes. There are two roles that each pod is grouped into: core and execution. Pods in the core group consist of KNIME Business Hub control plane resources, and pods in the execution group relate to execution contexts.

In order to use the node affinity feature in your KNIME Hub cluster, you can apply one or both of the following labels to nodes within your cluster:

hub.knime.com/role=core
hub.knime.com/role=execution

To label a node, you can execute the following command (where <node-name> is the name of the node you want to label):

kubectl label node <node-name> hub.knime.com/role=core

For more information about labeling nodes, see the Kubernetes documentation.

Pods will have to be restarted in order to be rescheduled onto labeled nodes. You can use the following example commands to restart the pods in a live cluster:

kubectl rollout restart deployment -n istio-system
kubectl rollout restart deployment -n hub
kubectl rollout restart deployment -n knime
kubectl delete pods --all --namespace hub-execution

This command will restart all execution context pods.

There are a few things to note about the behavior of this feature:

Node affinity uses a "best effort" approach to pod scheduling.
- If one or both of the hub.knime.com/role labels are applied, cluster resources will attempt to be scheduled onto the nodes based on their role.
- If no nodes have a hub.knime.com/role label, pods will be scheduled onto any available node.
- If labeled nodes reach capacity, pods will be scheduled onto any available node.
- If a labeled node is shut down, pods will be rescheduled onto other nodes in the cluster with a preference towards using nodes that have a matching label.
- Node affinity for KNIME Business Hub uses the preferredDuringSchedulingIgnoredDuringExecution approach (see the Kubernetes documentation for more details).
It is possible to use only one of the labels above, e.g. labeling nodes for the execution role but not specifying any node labels for the core role.

Create a collection

It is possible to create collections on your KNIME Business Hub instance.

KNIME Collections on KNIME Hub allow upskilling users by providing selected workflows, nodes, and links about a specific, common topic.

One example of a collection can be found on KNIME Community Hub here.

This is a feature of KNIME Business Hub - Enterprise edition.

In order to create a new collection page you need to be a global admin of your KNIME Business Hub instance.

The creation of a collection is possible via REST API, and a description of the different configurations can be found in your KNIME Business Hub API doc at the following URL:

api.<base-url>/api-doc/?service=catalog-service#/Collections

e.g. api.hub.example.com/api-doc/?service=catalog-service#/Collections.

In order to create a collection the items (i.e. workflows and nodes) that are collected need to be stored and accessible on the same KNIME Business Hub instance where collection is created.

To create the collection you will need then to build a json file with the schema that is available in the API doc in the Collections section, under the POST /collections request description.

The following is an example that would allow you to build a collection, similar to the one available on KNIME Community Hub here.

In the first section you can for example set up a title, a description, a so-called hero, which is the banner image at the top right of the example collection page, and tags:

{
  "title": "Spreadsheet Automation",
  "description": "On this page you will find everything to get started with spreadsheet automation in KNIME",
  "ownerAccountId": "account:user:<global-admin-user-id>",
  "hero": {
    "title": "New to KNIME?",
    "description": "Get started with <strong>KNIME Analytics Platform</strong> to import all the examples and nodes you need for spreadsheet automation right now!",
    "actionTitle": "Download",
    "actionLink": "http://download-me-quick.999.com"
  },
  "tags": [
    "Excel",
    "XLS"
  ],

Next you can add different sections and subsections, each with a title and a description, choose a layout, and select the itemType such as Space, Component, Workflow, Node, Extension, or Collection. For each of these items you will need to provide the id under which they are registered in your Business Hub installation.

The id for workflows, spaces, components, and collections can be build by taking the last part of their URL, after the ~, and adding a * at the beginning. For example, the following workflow on the KNIME Community Hub has URL https://hub.knime.com/-/spaces/-/latest/~1DCip3Jbxp7BWz0f/ so its id would be *1DCip3Jbxp7BWz0f. The id for node and extensions instead needs to be retrieved with a REST call, for example to the search endpoint of your KNIME Business Hub instance.

  "sections": [
    {
      "title": "Workflow examples",
      "description": "Some subtitle text here. Can have <strong>bold format</strong>",
      "iconType": "Workflow",
      "subsections": [
        {
          "title": "How to do basic spreadsheet tasks in KNIME",
          "description": "Some examples on how to do common things",
          "layout": "SingleColumn",
          "numberOfTeaseredItems": 2,
          "items": [
            {
              "title": "Click Here!",
              "itemType": "Link",
              "absoluteUrl": "https://knime.com"
            },
            {
              "id": "*SJW5zSkh1R3T-DB5",
              "itemType": "Space"
            },
            {
              "id": "*vpE_LTbAOn96ZOg9",
              "itemType": "Component"
            },
            {
              "id": "*MvnABULBO35AQcAR",
              "itemType": "Workflow"
            },
            {
              "showDnD": true,
              "id": "*yiAvNQVn0sVwCwYo",
              "itemType": "Node"
            },
            {
              "id": "*bjR3r1yWOznPIEXS",
              "itemType": "Extension"
            },
            {
              "id": "*QY7INTkMW6iDj7uC",
              "itemType": "Collection"
            }
          ]
        }
      ]
    }
  ]
}

Administrator workflows

The workflows described in this section of the documentation aim to support KNIME Business Hub administrators, or heavy KNIME Business Hub users, to clean up, monitor and better administrate their Business Hub instance.

The functionalities provided are a time saver for monitoring or administrating KNIME Business Hub, eliminating the need for manual work and centralizing information from various applications.

Workflows overview

The user can access the workflows on the KNIME Community Hub in a public space owned by KNIME. Additionally, the user can find them on a dedicated collection page. To use them, download the workflows from the Community Hub and upload them into an existing team space in your KNIME Business Hub installation.

Business Hub has three types of user roles (global admin, team admin, and team member). All the users with access to the “Admin Space” can run the workflows. The user’s role defines their allowed actions when running the different workflows.

The workflows can be run as data applications on-demand or directly scheduled using the Business Hub UI. First, you must deploy the workflows as a Data app or Schedule.

Below the list of workflows within the “Admin Space”, click on them to read further details:

Discard Failed Jobs
List All Jobs
Delete Old Versions
Scheduled Workflows Kick-Off Times
Count Workflows Running Per Day
Worklfows' Run Time
Monitor Users' Usage

Requirements and prerequisites

Requirements

The user needs to exist and be at least a Team member (no matter the user’s role) where the “Admin Space” is located
Also, the user needs at least view access to the “Admin Space.”

Prerequisites

The user should be familiar with new concepts on the Hub. See the KNIME Business Hub User Guide.
The user needs to create an application password specific to her account on KNIME Business Hub that most applications will use.

Discard Failed Jobs

Overview

This workflow aims to keep "clean" the KNIME Business Hub installation by discarding failed jobs from any kind of execution run by the KNIME Business Hub users.

Workflow specs

Without applying any time range, the workflow discards all failed jobs for the following execution types: ad-hoc executions, triggers, data apps, schedules or shared deployments.

We consider as failed jobs all those with any of the following states after execution: “Execution_Failed”, “Execution_Failed_With_Content”, “Execution_Canceled”, or “Vanished”.

The failed jobs a user can discard depend on the role of the user running the workflow:

Global admin: can discard all failed jobs in any team and space from any execution type.

Team admin: can discard all failed jobs of the teams of which it is an admin from any execution type.

Team member: can discard only self-generated failed jobs from any execution type, any team and space of which it is a member (no matter the user’s right’s on space items). It also includes deployments shared with the user from teams where the user is not a member.

Deployment configuration

This workflow can be deployed as a data app or schedule deployment.

In both cases, you can provide the following information to deploy the workflow:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Application Password ID: User-associated application password ID.
Application Password: User-associated application password.

If you want to know how to create an application password, follow these steps.

Data app

After deploying the workflow as a Data App, you can run it. To do so, follow these instructions.

Below are the steps for the data app:

Business Hub connection: you need to connect to the KNIME Business Hub instance through the previously generated application password.
Select Job State: it is possible to customize which types of failed jobs you want to discard. Max 4 job states should be available: “Execution_Failed”, “Execution_Failed_With_Content”, “Execution_Canceled”, or “Vanished”.
Discard Results: A table with the discard jobs results is displayed by default. There is also the possibility to see an illustrated version of the table by selecting the “Switch to charts” option.

Schedule

Define when the workflow should be executed through the schedule options. For more information, follow this guide.
Ensure the Schedule Deployment is active (Status column).
In the Team Deployments page or the workflow page, Deployments section, you can check the number of executions and their status.

List All Jobs

Overview

The workflow scope is to list all the jobs (excluding the failed ones) accessible to the user.

Additionally, the user can use the workflow to easily pinpoint any irregularities in the workflow’s execution or sort jobs that have been in an execution state for an extended period.

Furthermore, it is possible to select the jobs and discard them.

Workflow specs

Without applying any time range, the workflow lists all jobs for the following execution types: ad-hoc executions, triggers, data apps, schedules or shared deployments.

We only consider not failed jobs. This means we exclude any jobs with states such as: “Execution_Failed”, “Execution_Failed_With_Content”, “Execution_Canceled”, or “Vanished”.

The job information a user could retrieve depends on the user role running the deployed workflow:

Global admin: can recover all workflow jobs in any team and space.

Team admin: can recover all workflow jobs within the team where it is an admin.

Team member: can recover workflow jobs from any team and space where is a member (no matter the user’s right’s on space items). It also includes shared deployments from teams where the user is not a member.

The jobs a user can discard depend on the role of the user running the deployed workflow:

Global admin: can discard all jobs in any team and space from any execution type.

Team admin: can discard all jobs of the teams of which it is an admin from any execution type.

Team member: can discard only self-generated jobs from any execution type, team and space of which it is a member (no matter the user’s right on space items). It also includes deployments shared with the user from teams where the user is not a member.

Deployment configuration

This workflow can be deployed as a data app.

You can provide the following information to deploy the workflow:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Application Password ID: User-associated application password ID.
Application Password: User-associated application password.

If you want to know how to create an application password, follow these steps.

Data app

After deploying the workflow as a Data App, you can run it. To do so, follow the instructions.

Below are the steps for the data app:

Business Hub connection: you need to connect to the KNIME Business Hub instance through the previously generated application password.
Explore and select Jobs: this feature displays a table of all available jobs for the user. Each job is listed with its name, state, runtime information, and corresponding workflow deployment.

Two exceptions related to the job’s deployment information:
1. When ad-hoc executions generate jobs, the deployment name is not available.
2. If the workflow is executed when a deployment that has generated a job is not available anymore in the KNIME Business Hub (because it has been discarded or, in the case of schedules, the deployment has ended), retrieving the deployment information is not possible. It displays a message in the "Deployment name" column: "This deployment is no longer available."
On the right side, the user can find three filters:
- Run time anomalies: it detects outliers using the Numeric Outliers node. As a user, you can focus on "Outliers", which will help you identify jobs that take significantly longer or shorter to execute than others within the same workflow deployment.
- Job state: It allows filtering by specific job states. The available job states will be shown based on the currently listed jobs.
- Team: the user can filter by team.

Discard Results: A table with the discard jobs results is displayed by default. There is also the possibility to see an illustrated version of the table by selecting the “Switch to charts” option.

Delete Old Versions

Overview

The workflow aims to delete old item versions that aren’t involved in any deployment. The sought effect of this operation is to avoid a massive proliferation of item versions within the Business Hub installation, impacting disk space.

Workflow specs

The workflow deletes all item versions older than the specified number of days, e.g. older than seven days.

The deletion will only be applied to the selected teams and spaces using the workflow as a data app or schedule deployment.

In cases where a rule applies to all versions in a space, the latest version will not be deleted, even if it is affected by the rule. Additionally, item versions that are involved in deployments are exempt from the rule.

Depending on your user role on the KNIME Business Hub, if you execute this workflow, you will have the following permissions:

Global admin: Can delete every item version not used in any deployment from any team on the KNIME Business Hub instance.

Team admin: Can only delete the item versions not involved in any deployment in the team where it’s an admin.

Team member: Can only delete the item versions not involved in any deployment in the teams where it’s a member. The Team member must have “Edit” permissions for the targeted spaces to perform the version deletion.

Deployment configuration

This workflow can be deployed as a data app or schedule deployment.

You need to provide the following information to deploy the workflow as a data app or to schedule it:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Application Password ID: User-associated application password ID.
Application Password: User-associated application password.
Team name: Use “*” to select all and “/” to choose a subset: “Team1/Team2”.
Space name: Use “*” to select all and “/” to choose a subset: “Space1/Space2”.
The number of days: All item versions older than that will be deleted (default is 30 days).

To create an application password, follow these steps.

Data app

After deploying the workflow as a data app, you can run it. To do so, follow these instructions. Below are listed the steps for the data app::

Business Hub connection: You need to connect to the KNIME Business Hub instance through the application password generated previously.
Team and Space selection: Select the teams and associated spaces from which the workflow should delete the old versions.
Define version deletion rule: Here, you can set a version deletion rule. All versions older than the given number of days will be deleted.
Deletion result: A table showing the deletion result with the version information will appear by default.

Switching to a chart view is possible using the “Switch to charts” option.

Schedule

Define when the workflow should be executed through the schedule options. For more information, follow this guide.
Ensure the Schedule Deployment is active (Status column).
In the Team Deployments page or the workflow page, Deployments section, you can check the number of executions and their status.

Scheduled Workflows Kick-Off Times

Overview

The workflow aims to prevent scheduled deployments from overlapping and, consequently, helps to avoid overloading KNIME Business Hub executors.

Running on demand as a data app offers the user a visual overview of the scheduled deployments within the given number of days by team and execution context.

Worklfow specs

The workflow visualizes all the scheduled deployments by KNIME Business Hub execution context and team in the following days. Notice that the maximum number of days is set up to seven.

The workflow shows only those schedules whose deployment is active and has not been disabled via the KNIME Analytics Platform and those with a valid next execution date.

Depending on the user role, you can view the following schedules:

Global admin: monitor the scheduled workflows of any team and any KNIME Business Hub execution context.

Team admin: monitor the scheduled workflows for any KNIME Business Hub execution context in the team.

Team member: monitor the scheduled workflows for any KNIME Business Hub execution context in the team.

Deployment configuration

This workflow can be deployed as a data app.

You can provide the following information to deploy the workflow as a data app:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Application Password ID: User-associated application password ID.
Application Password: User-associated application password.

To create an application password, follow these steps.

Data app

After deploying the workflow as a data app, you can run it. To do so, follow these instructions. Below are the steps for the data app:

Business Hub connection: You need to connect to the KNIME Business Hub instance through the application password generated previously.
Scheduled Workflows Monitoring: By default, it visually represents the scheduled workflows in the coming days.

The number of scheduled workflows per day and hour and the number of schedules by team and execution context are represented.
Diving deep into each scheduled deployment is possible by switching to a “Table” mode. Use the “Switch to schedules details (Table)” option.

Count Workflows Running Per Day

Overview

After a while, the KNIME Business Hub instance automatically discards already executed workflow jobs. KNIME Business Hub administrators can define this time window until a specific period, but it is not infinite.

The workflow scope is to go beyond this automatic discard timeline creating a historical file with all the workflow execution information for further consultation.

Workflow specs

The workflow saves in the root level of an existing team space a CSV file of the jobs information of any state (“Executed”,” Failed”, etc.) and from any execution type (Deployments and Ad-hoc executions).

The workflow job information a user could retrieve depends on the user role running the deployed workflow:

Global admin: can recover all workflow jobs in any team and space.

Team admin: can recover all workflow jobs within the team where it is an admin.

The team space where the CSV file can be saved depends on the user role running the deployed workflow:

Global admin: can save workflow job information in any team space.

Team admin: can save workflow job information in every team space where it is an admin.

Team member: can save workflow job information in every team space where it is a member and it has edit permissions.

The user must define the number of backward days you want to retrieve the workflow job information, e.g. last five days.

If you repeatedly target the same team space executing this workflow, the workflow will append the new information to the master file.

Deployment configuration

This workflow can be deployed as a data app or schedule deployment.

You can provide the following information to deploy the workflow as a data app or schedule it:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Application Password ID: User-associated application password ID.
Application Password: User-associated application password.
Last n days filter: Save job information of all jobs from the last n days.
Select the destination Team: The team in which the job information will be saved.
Select the destination Space: The space in which the job information will be saved.

To create an application password, follow these steps.

Data app

After deploying the workflow as a data app, you can run it. To do so, follow these instructions. Below are the steps for the data app:

Business Hub connection: You need to connect to the KNIME Business Hub instance through the previously generated application password.
Set rule and file destination: Select the last n days to save the workflow job information. And choose the destination team and space where this file will be saved.
File location link and preview: You can find the link to the destination space and a preview of the saved job information.

Schedule

Define when the workflow should be executed through the schedule options. For more information, follow this guide.
It is recommended to adjust the last n days' field to the chosen schedule option, e.g. if the workflow is scheduled every seven days, set the last n days to seven to avoid duplicate information in the CSV file.
Ensure the Schedule Deployment is active (Status column).
In the Team Deployments page or the workflow page, Deployments section, you can check the number of executions and their status.

Workflows' Run Time

Overview

This workflow aims to list all the workflows sorted by the average execution time (the greater the first) for the last n days.

Workflow specs

We calculate the run time by solely considering the deployed schedules, as monitoring the execution time of other deployment types is not meaningful. For example, a user could play around one hour or five minutes with a data app.

The average workflow execution time and the standard deviation are calculated for the given period.

Be aware that the number of days a workflow deployment’s job is available depends on the KNIME Business Hub instance’s configuration, e.g. a common value would be seven days. After that period, all jobs would be discarded automatically.

The average jobs run time, which a user can monitor, depends on the role of the user running the deployed workflow:

Global admin: can monitor the run time of all deployed schedules in any Team and Space.

Team admin: can monitor the run time of all deployed schedules within the Team where it is an admin.

Team member: can monitor the run time of all deployed schedules within the Team where it is a member.

Deployment configuration

This workflow is designed to be deployed only as a data app.

You can provide the following information to deploy the workflow:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Application Password ID: User-associated application password ID.
Application Password: User-associated application password.
Last n days filter: number of days from calculating the average execution time, e.g. last seven days.

If you want to know how to create an application password, follow these steps.

Data app

After deploying the workflow as a data app, you can run it. To do so, follow these instructions. Below are the steps for the data app:

Business Hub connection: You need to connect to the KNIME Business Hub instance through the application password generated previously.
Workflow performances: A performance overview of the deployed workflows for the last n days. Diving deep into any workflow performance is possible by selecting the workflow and clicking the “workflow details” button. When diving deep into the workflow, each workflow’s average run time calculation is calculated per day (stacked area chart).

Monitor Users' Usage

Overview

The workflow aims to track KNIME Business Hub user logins to better manage the KNIME Business Hub users' quantity and instance usage.

Workflow specs

You need access to the Keycloak instance embedded in KNIME Business Hub to generate the Client Id and Secret necessary to access the KNIME Business Hub user information.

The workflow shows information about two users type: active and inactive.

Inactive users: those who have never logged into the KNIME Business Hub instance since their creation date.

Active users: those who logged into the KNIME Business Hub instance in the last n days.

It is possible to analyse the session length for actively engaged users. However, it’s important to note that if a user doesn’t log out after each session, it could impact the accuracy of the KPI calculation. As a result, this metric cannot be considered completely dependable.

Deployment configuration

This workflow is designed to be deployed only as a data app.

You can provide the following information to deploy the workflow:

Hub URL: The URL of your KNIME Business Hub instance, e.g. “https://my-business-hub.com”.
Keycloak Client ID: your-ClientId from Keycloak.
Keycloak Client Secret: your-Client-Secret from Keycloak.

To generate a Keycloak Client ID and Client Secret:

Login into Keycloak Admin Console: "https://auth.my-business-hub.com > Administration Console".
Select your Realm, and from “Realm Settings > Events > User events settings”, activate “Save events” to save KNIME Business Hub Users events. You can configure how many days to keep the user’s events.
Create a new Client from “Clients > Create Client”. Give it a Client ID (tutorial-api in our example), a name (tutorial) and a description (lorem ipsum).
1. In the “Capability config” section, activate “Client authentication”.
2. Select “Service account roles” to allow you to authenticate this client to Keycloak and retrieve the access token dedicated to this client.
3. Save your new client.
Click on your new Client (tutorial-api) from “Clients > Client ID (Column)”.
1. Go to the “Service account roles” tab > Click the “Assign role” button.
2. Click “Filter by Roles” and select “Filter by clients”.
3. Search for “view-events” and for “manage-users” and assign both roles to the Service account associated with our client.
Finally, to retrieve the Client ID and Client secret:
1. Go to “Clients > Client ID (Column)” and choose your client (tutorial-api in our example)
2. Click on the “Credentials” tab
3. Leave as a Client Authenticator the “Client ID and Secret” option.
4. Copy the Client’s Secret.
5. Copy the Client ID from the top of the tab (“tutorial-api” in the screenshot below).

Data app

After deploying the workflow as a data app, you can run it. To do so, follow these instructions. Below are the steps for the data app:

Keycloak connection: the user must connect to the Keycloak instance embedded in KNIME Business Hub through the previously generated Client ID and Secret.

User login events: Select the last n days to see KNIME Business Hub active users' login count and inactive users' information. It is possible to explore the active users' session length.

Also, the user can switch to chart mode by clicking the “Switch to charts” option.

Monitoring K-AI in KNIME Business Hub

A data application is available to help KNIME Business Hub admins monitor and govern K-AI usage.

Download the data application and upload it to your KNIME Business Hub instance and Run it or deploy it as a data app.

Follow the steps 1 to 3 (or 1 to 5 if you want to create a data app deployment) of the Data apps on KNIME Hub guide to know how to do this.

Data access

To know more about the AI history access groups, please consult the KNIME Business Hub Installation Guide.

Data structure

Every user on the Hub can interact with K-AI. When users open their KNIME Analytics Platform and initiate a prompt, a conversation with K-AI begins. The conversation concludes when the user closes the Assistant window. Each question the user asks is a prompt, and the corresponding answer is a response. This results in three distinct levels of K-AI usage data, since each user has multiple conversations consisting of several prompts and responses.

Table 2. An example of usage data for K-AI
User ID	Account created (year)	Conversation ID	User Prompt	K-AI Response	Timestamp	Tokens consumed
37373	2022	1	Hi!	Hello! How can I assist you today?	2024-01-01T00:00:00	330
37373	2022	1	What node can I use to close a loop with the Group Loop Start node	You can use the "Loop End" node to close a loop with the "Group Loop Start" node.	2024-01-01T00:05:00	1220
37373	2022	2	How can I read an Excel file?	To read an Excel file in KNIME, you can use the "Excel Reader" node from the "KNIME Excel […]	2024-01-05T20:00:00	880

Based on the data in the table, on January 1st, 2024, a user (identified as 37373) interacted with K-AI for five minutes and made two different prompts with varying token consumption values. On January 5th, the same user issued a prompt inquiring about how to read an Excel File. This prompt was stored with a different Conversation ID, indicating that the K-AI assistant was closed between the two conversations.

Deploying the data application

To run the data application in KNIME Business Hub, it is possible to use an Ad hoc execution or run the data application deployment. Please follow this link for more information about data app deployments in KNIME Business Hub.

In the data application deployment configuration, the current Hub authentication can be used if the logged user has permission for the correct rights to access the data. Otherwise, a user with permissions must provide their application password, and it is necessary to input the Hub URL.

Figure 37. Deployment using Use current Hub to bypass credential input

Data application overview

Perspective selection

The data app is divided into four different perspectives to facilitate the answer to various questions:

Users: Who is using K-AI?
This perspective can answer user-related questions like “Are the new KNIME Business Hub users using K-AI?”
Conversations: How are users using K-AI?
This dashboard answers questions such as how the user prompts are distributed by K-AI mode (Q&A, Workflow builder, etc.).
Cost: How much does it cost to use K-AI?
The estimated cost associated with K-AI can be analyzed based on the tokens consumed.
All Dimensions: This perspective combines all attributes and metrics from three previous perspectives to create a more articulated analysis.

Figure 38. Perspective selection in the K-AI Dashboard

Slice and dice

There are different slicing filters and dice attributes for every perspective. The term Slice refers to filtering the data by different attributes. Dice refers to splitting chart metrics by the same attributes. The Slice and Dice Legend provides a comprehensive explanation of all of them.

Figure 39. Slice and Dice Filter Legend in the K-AI Dashboard

Slicing filters

The slicing filters isolate data based on dimension attributes. For instance, from the Conversation perspective, you can slice the data only to analyze K-AI interactions related to Python.

The Users' slicing filters will filter users and all their conversations, while the Conversations' slicing filters will filter specific conversations with all their prompts. Cost’s slicing filters only apply to the prompts.

Based on the Table 2, the user with ID “37373” is filtered out along with all its conversations if you slice by “Hub account age cohort,” which equals 2024 in the User perspective. Conversation ID 1 is filtered out if you slice by “Conversation duration buckets” equals “10-20 min,” and finally, if you slice by "Prompt and response token buckets” equals “1000-2000 tokens,” only row 2 from the table above will be kept.

It is important to note that the slicing filters work sequentially from left to right. This means that if you select to view only K-AI interactions within Python nodes, the filtered output of the first slicing filter will be passed to the downstream filters. Please see Figure 40 for a visual representation.

Figure 40. The slicing filters in the underlaying workflow

Dice

Analyzing K-AI usage metrics by different attributes can help you understand how data trends are formed over time. For instance, in the Conversations perspective, you can observe the number of user prompts over time, split by “K-AI Mode” or “Conversation duration (minutes)” attributes.

Figure 41. Total user prompts dice by K-AI mode

Figure 42. Total user prompts dice by Conversation duration

It is possible to select the attribute to Dice in the drop-down menu:

Data application usage

Please note that if you modify the time range, the data application will retrieve data from the KNIME Business Hub API endpoints again. Depending on the amount of data and the time range, it may take some time to re-execute.

Instead, the granularity feature only re-executes the charts within a different time granularity (from year to day).

When switching between perspectives,e.g., from Users to Conversations, the dice and slicing filters are reset, and the charts are re-executed.

Customization

This workflow, is a blueprint you can customize to meet your needs. For instance, you can remove or reorganize some slicing filters, choose to have only the Cost perspective, eliminate other perspectives, or be inspired to create your attributes.

KNIME Business Hub API documentation

Most KNIME Business Hub functionalities are also available via REST API allowing you to perform several actions.

You can access the API documentation by navigating to the following URL:

api.<base-url>/api-doc

where <base-url> is your Business Hub instance URL, e.g. hub.example.com.

Here you can select from the drop-down menu the service you want to use.

Support Bundles and Troubleshooting

When generating a support bundle, no data leaves the cluster.

If necessary, you can download the support bundle and send it to KNIME for the purpose of troubleshooting. Contact us by sending an email to support@knime.com. Under extreme circumstances, the KNIME team may forward the support bundle to the Replicated support team for additional help.

When generating a support bundle, a limited amount of information will be automatically redacted (IPv4 addresses, connection strings, etc.). You can configure additional redactions and/or manually redact information prior to sending the bundle. See the Configuring redaction in support bundles section for more details.

KNIME Business Hub is capable of generating support bundles in a standard format, even when the admin console isn’t working. This ensures that users are able to provide all of the necessary information for KNIME to be able to identify the problem and prescribe a solution.

Generating a support bundle (GUI)

In order to help troubleshoot an installation, or to simply inspect the logs of the cluster in a user-friendly format, you will need to generate a support bundle.

Simply open the KOTS Admin Console, navigate to the Troubleshoot pane, and click the Generate a support bundle button to generate a support bundle.

Figure 44. Generate a support bundle

All generated support bundles will display in the list above. Click the Download bundle button to download the bundle(s) you want to share with KNIME, and please see the Configuring redaction in support bundles section for information on how to redact confidential/personal information before sending.

Generating a support bundle (CLI)

See Replicated documentation for instructions on how to generate a support bundle via the Replicated CLI.

Configuring redaction in support bundles

When generating a support bundle, a limited amount of information will be automatically redacted (IPv4 addresses, connection strings, etc.) but it is not guaranteed to be a comprehensive set of redactions. You may have additional information in your logs or configuration that you do not wish to share with the KNIME engineering team.

One option is to unzip the generated .zip support bundle and manually review/redact information prior to sending the bundle to KNIME. However, there is a lot of information to review and the redaction of certain information can be automated fairly easily. The ideal option is to configure automated redactions via Redactor resources, which will automatically redact information for all future support bundles.

In order to configure automated redactors, first open the KOTS Admin Console. Navigate to the Troubleshoot pane and click Configure Redaction.

Figure 45. Configure Redaction

If you have configured your own custom redactions that you feel would be valuable to other users of KNIME Business Hub, please feel encouraged to share the configuration with KNIME so that it can be considered & potentially added to future releases.

See this link and this link for more information.

Inspecting support bundles

There are quite a number of of files generated in a support bundle. Not necessarily every file is useful for every problem. However, by collecting the same information in the same way each time, KNIME can ensure the best quality support possible for customers.

It is possible to inspect a support bundle entirely in the admin console. See below for an example screenshot.

Figure 46. Inspect a support bundle in the admin console

Here are the most important folders/files and their purposes:

Path Purpose Example (may have properties omitted)

Path	Purpose	Example (may have properties omitted)
`./analysis.json`	Collects the highest-level insights possible for the installation. Often times, the issue and/or resolution may be identified in this file by inspecting the `[].name.insight.detail` property.	[ { "name": "kotsadm.status", "insight": { "name": "kotsadm.status", "primary": "kotsadm Status", "detail": "At least 1 replica of the Admin Console API is running and ready", "severity": "debug" }, "severity": "debug", "analyzerSpec": "" } ]
`./logs`	Contains logs of individual pods. Execution Context logs are stored in `./logs/execution-contexts`.	(typical application logs)
`./cluster-resources`	Contains the configuration of each visible resource in the cluster. For example, to see all pods in the cluster, navigate to the `./cluster-resources/pods` directory which contains one file per namespace in the cluster.	{ "kind": "PodList", "apiVersion": "v1", "metadata": { "resourceVersion": "1686941" }, "items": [ ... ] }

./analysis.json

Collects the highest-level insights possible for the installation.
Often times, the issue and/or resolution may be identified in this file by inspecting the [].name.insight.detail property.

[
  {
    "name": "kotsadm.status",
    "insight": {
      "name": "kotsadm.status",
      "primary": "kotsadm Status",
      "detail": "At least 1 replica of the Admin Console API is running and ready",
      "severity": "debug"
    },
    "severity": "debug",
    "analyzerSpec": ""
  }
]

./logs

Contains logs of individual pods.
Execution Context logs are stored in ./logs/execution-contexts.

(typical application logs)

./cluster-resources

Contains the configuration of each visible resource in the cluster.
For example, to see all pods in the cluster, navigate to the ./cluster-resources/pods directory which contains one file per namespace in the cluster.

{
  "kind": "PodList",
  "apiVersion": "v1",
  "metadata": {
    "resourceVersion": "1686941"
  },
  "items": [ ... ]
}

Backup and restore with Velero Snapshots and Kotsadm

Snapshot backups and restore features are available into Replicated deployments via Velero, a tool for backing up Kubernetes cluster resources and persistent volumes.

One-time snapshots as well as automated scheduled snapshots can be managed from the Snapshots panel within your Kotsadm dashboard at https://<base-url>:8800/app/knime-hub.

Snapshot creation and restoration are disruptive processes. KNIME applications, and Replicated admin access may be unavailable during an active backup or restore operation.

Creating snapshot backups

First, configure storage for your backups. Navigate to the Snapshots tab of your Kotsadm dashboard. Click the 'Settings' button to edit backup settings where you’ll be able to add a storage target.

Figure 47. Snapshots tab with settings link
Velero supports local storage (not recommended), Amazon S3, Azure Blob Store, Google Cloud Storage, and S3 API compatible storage endpoints such as Minio. Select your preferred snapshot storage type from the 'Destination' drop-down menu, and fill in the required fields with parameters specific to your storage endpoint. Click the 'Update storage settings' button and wait for Velero to verify backup storage access.

Figure 48. Snapshots destination settings for AWS S3 storage
With a valid backup storage configured, you can create a Snapshot of your KNIME deployment by clicking the Full Snapshots tab, and then the Start a snapshot button. This may take a few minutes to complete.
Once your snapshot is complete, from the same Full Snapshots screen, you can click the 'Settings' button to manage snapshot retention, or configure automatic snapshots by checking the Enable automatic scheduled snapshots box and setting a schedule using a CRON expression.

Figure 49. Example automatic snapshot scheduled to run at 12:00am weekly with a 1 month retention policy.

Backup Troubleshooting

Velero is installed into the embedded Kurl Kubernetes cluster with default settings and resource allocations.

As the number of objects or overall size of data to be backed up increases, it may eventually occur that the CPU and memory resources allocated for Velero processes are no longer sufficient to successfully complete the backup.

In the event that backup failures are encountered, it is recommended to increase the CPU and memory allocation directly to the Velero’s node agent process via kubectl.

$ kubectl patch daemonset node-agent -n velero --patch \
'{"spec":{"template":{"spec":{"containers":[{"name": "node-agent", "resources": {"limits":{"cpu": "2", "memory": "2048Mi"}, "requests": {"cpu": "1", "memory": "512Mi"}}}]}}}}'

The CPU and memory resources and limit values can be adjusted as needed to find sufficient values for backup process. Typically, only the limit values will need to be increased.

At this time, the resource allocation override to Velero will revert after a Kurl upgrade has been performed. Please ensure any changes to the Velero node agent are reapplied after any Kurl cluster-level upgrades.

Restoring a snapshot

Navigate to the list of available snapshot restore points from your Kotsadm dashboard by browsing to Snapshots→ Full Snapshots. From this screen, identify the snapshot instance you would like to use, and take note of the instance ID.

Figure 50. In this example, there is only one snapshot available and its ID is instance-2xcsc

A list of snapshots can also be retrieved by command line:
```
$ kubectl kots get backups
NAME              STATUS       ERRORS    WARNINGS    STARTED                          COMPLETED                        EXPIRES
instance-2zcsc    Completed    0         0           2023-01-18 14:46:26 +0000 UTC    2023-01-18 14:46:53 +0000 UTC    29d
```
Now, restore the snapshot using a single CLI command.
```
$ kubectl kots restore --from-backup {Snapshot ID}
```
Next, redeploy the Hub instance from the KOTS Admin Console and trigger the restart of all executors by performing any change to each execution context in the Hub UI, e.g. decreasing/increasing the memory.
Finally, assuming the restore completed without errors, you can verify your Hub installation is functioning as expected.

Migration of versioning and compatibility

With the 1.5 release of the KNIME Business Hub we introduced the new item level versioning, migrating from space level versioning that was made available in the previous releases.

This means that users can now create, restore and delete versions of individual items as described in the versioning section of the KNIME Business Hub User Guide.

The KNIME Business Hub version 1.5 is fully compatible with KNIME Analytics Platform version 5.1, which can create versions of item to use for ad hoc execution, create deployments and update components. When upgrading to version 1.5 all items in previously versioned spaces are automatically migrated to be versioned on the single item level. However we recommend to perform a backup of your KNIME Business Hub instance.

General compatibility between KNIME Hub, KNIME Analytics Platform client and executor

KNIME Business Hub from version 1.5.0:
- Analytics Platform version 5.1 client is fully compatible as previously stated
- Executor version 5.1 is fully compatible
- All the Analytics Platform and Executor versions < 5.1 are also compatible
KNIME Business Hub version 1.4.2:
- Executor version 5.1 is compatible
- New nodes for versioning of Analytics Platform version 5.1 are not usable
KNIME Business Hub version 1.4.1:
- Executor version 5.1 is compatible
- New nodes for versioning of Analytics Platform version 5.1 are not usable
- Workflow uploads do not work via Analytics Platform version 5.1

Migration from space level versioning to item level versioning

KNIME Business Hub 1.5.0 (with item level versioning):
- Analytics Platform version 5.1:
  Space Connector node will not have the version selection functionality.
  The Space Version Creator node is replaced by the Version Creator node.
- Analytics Platform version < 4.7:
  Drag and drop of repository items will stop working
- Analytics Platform version < 5.1:
  Space Version Creator nodes will stop working.
  Space Connector nodes will stop working when the version checkbox is checked. They will work if the version checkbox is unchecked.
- Any Executor from version 4.7:
  Deployments migrated from Business Hub version 1.4.x are compatible although they might require some attention/adjustments for more complex cases.
  Deployments created with Business Hub version 1.5 are fully compatible.
KNIME Business Hub 1.4.x (with space level versioning):
- Analytics Platform version 5.1:
  Space connector nodes will not have the version selection functionality and will default to latest.
  Version Creator node will not work.
- Executor version 5.1 is compatible for simple deployments although some more complex deployments might require some attention/adjustments.

Changelog (KNIME Business Hub 1.9)

KNIME Business Hub 1.9.0

(released April 10, 2024)

Installation notes

Due to the Keycloak version update, Keycloak admin credentials will change during the update process.

The new credentials can be retrieved from the same secret as during the first install of Business Hub: KNIME Business Hub Installation Guide

KNIME Business Hub 1.9.0 includes the Docker executor image: registry.hub.knime.com/knime/knime-full:r-5.2.3-477.

Improvements

Expanded support for secret types, including OAuth2 and authentication mechanisms from Box, Google, and Microsoft
New landing page that highlights relevant links for faster onboarding of users
ElasticSearch has been updated to 8.5.1
Keycloak has been updated to 23.0.5
Added support for installing Business Hub on OpenShift
Added support for Kubernetes 1.29
Migrated UI framework to nuxt3

Changelog (KNIME Business Hub 1.8)

KNIME Business Hub 1.8.3

(released March 26, 2024)

Improvements

Update Artemis to 2.32.0

Important Bug Fixes

Fixed a bug where Image pull secret are not set anymore for executors in embedded registry
Fixed license check for Azure marketplace images
Fixed exposing of workflow paths in shared deployments

KNIME Business Hub 1.8.2

(released March 05, 2024)

Installation notes

During the update a short downtime is expected (5-10 minutes).

Improvements

In existing cluster installations Kubernetes Namespaces can now be created before the installation happens, in compliance with IT security standards.
Enabled additional security context policies for multiple 3rd party tools. List of policies enabled:
- require-node-affinity
- disallow-capabilities
- disallow-host-namespaces
- disallow-host-path-volumes
- disallow-host-ports
- disallow-privileged-containers
- require-non-root-groups
- require-run-as-nonroot
- disallow-host-process
- disallow-latest-tag
- disallow-proc-mount
- require-drop-all-capabilities
- require-read-only-root-filesystem

Important Bug Fixes

Fixed a bug where the Velero restore process could show incomplete because of timing issues with Minio.
Fixed a bug where editing a schedule that has credentials stored corrupted the credentials

KNIME Business Hub 1.8.1

(released February 15, 2024)

Improvements

Allow routing temp data to customer-defined volume

Helps eliminate disk pressure in situations where large amounts of data need to be cached from jobs during execution.

Optionally set node affinity to required

Set node affinity to be required so that users can ensure that no hub components are scheduled onto a node that does not have a particular label.

Enable Rook on Airgap HA installation

Airgap installations now support multi-node setups with Rook.

Support external groups sharing for users in more than 200 groups

AAD removes groups from the access token of the user is in more than 200 groups. This feature allows customers to still retrieve the groups in these cases.

Important Bug Fixes

Fixed a bug that occurred when multiple accounts are created concurrently
Fixed various bugs that impaired first installs on airgapped environments

Important Notes

Some advanced settings are now hidden in the KOTS Admin Console config by default. To view them enable the View Advanced Settings option in the Global section at the top.

KNIME Business Hub 1.8.0

(released December 20, 2023)

KNIME Business Hub 1.8.0 includes the Docker executor image: registry.hub.knime.com/knime/knime-full:r-5.1.2-433.

New features

AI Service (Business Hub Enterprise)

Gives you control over, who the data going through the KNIME AI Assistant is shared with.
Configured via the KOTS Admin Console
Supports OpenAI and Azure OpenAI as LLM provider
No data is shared with KNIME
AP Users can connect their KNIME AI Assistant to the AI Service of a Business Hub via the KNIME AI Assistant preference page
AI history service grants admins access to all requests made by their AP users to the KNIME AI Assistant
Documentation: KNIME Business Hub Installation Guide

Secret Store (Business Hub Standard & Enterprise)

Central location to manage personal and team secrets
- Sharing of team secrets with other users or teams
- No more logins stored in KNIME workflows
- Secret management is done in the KNIME Business Hub
- Secret Retriever node allows users to use secrets within KNIME workflows
Documentation: KNIME Business Hub User Guide

Start data apps with parameters via URL

Send customized data app links that trigger link/user-specific behavior inside the data app
Needs a Container Input (JSON) node inside the workflow
Documentation: KNIME Business Hub User Guide

Infrastructure updates

Minimize use of cluster roles

There are no more cluster roles in services developed by KNIME
Circumventing the use of cluster roles in 3rd party tools used by Business Hub will be introduced in a later release (where possible)

Backup / restore via Velero

Stability improvements

Improvements

Added display of CPU and RAM usage of execution contexts
Search results indicate versioned and draft items
Admin console now displays Business Hub version

Important bug fixes

Date-times are now displayed in the browser’s timezone
Execution context selection list not showing all available execution contexts for deployments and ad-hoc execution, improved UX
Fixed download button for previous workflow versions
Fixed a bug where in some cases endless loading state could occur while editing schedules
Fixed a bug where in some scenarios deployments could be created on disabled execution contexts
Various other bug fixes

Changelog (KNIME Business Hub 1.7)

KNIME Business Hub 1.7.0

(released November 06, 2023)

Important installation notes

Kubernetes version 1.25-1.27 is required for Business Hub 1.7.0. Pre-flight checks in the installer make sure that the correct version is available.

Infrastructure and security updates

Support provided ingress-nginx deployments

In existing clusters creating own ingress-nginx deployments before the installation of Hub is now enabled. Whether the Hub install process deploys the inbuilt ingress-nginx can be configured on the Kots Admin dashboard.

Security context update

Security contexts updated for pods, containers and jobs in the hub, knime and knime-execution namespaces.

Bug Fixes

Fixed a bug where schedules edited with KNIME Analytics Platform didn’t respect job discard settings.
Fixed a bug where saving executed job as workflows didn’t work in case workflow size was larger than 50 MB.
Fixed a bug where under certain circumstances jobs were shown duplicated in the AP explorer.
Fixed a bug where schedules in all teams connected to a user were deactivated when the user left any team.
Various smaller fixes.

Changelog (KNIME Business Hub 1.6)

KNIME Business Hub 1.6.0

(released September 22, 2023)

Important installation notes

Business Hub 1.6.0 comes with Kubernetes 1.25 for the embedded clusters.

We recommend updating by running the Kubernetes installer command:

curl -sSL https://kurl.sh/knime-hub | sudo bash

Run the command only when updating from KNIME Business Hub version 1.5.2 or higher, or after you updated to version 1.6.0.

All pods will restart during the update, some downtime is expected. Creating a backup before upgrading is recommended.

New Features

Save jobs to spaces

Jobs on KNIME Business Hub can now be saved any space where the user has permissions. Great feature to utilize for fixing a faulty job and saving the results for the future.
Documentation: KNIME Business Hub User Guide

Shared execution contexts

Create shared execution contexts, that allow sharing execution resources between multiple teams. Shared execution contexts are setup and maintained by the Hub admin and utilized on Team level.
Documentation: KNIME Business Hub Admin Guide

Execution context redesign

Improved usability of execution resource management based on customer feedback. Current job list is now available on execution context and executor level.

Auto start-stop of execution contexts

Save money on infrastructure costs by only starting up your execution resources when they are actually used, and by shutting them down afterwards.
Auto start-stop can be enabled for each execution context separately.

Download job logs

Downloading job logs is now available from the Hub user interface.
To use this feature an executor based on KNIME Analytics Platform version > 5.1 is necessary.
Documentation: KNIME Business Hub User Guide

Improvements

Triggers listening to version creation

It is now possible to trigger deployments when a new workflow version is created.
Documentation: KNIME Business Hub User Guide

Deprecated nodes are not part of search results

Infrastructure updates

Embedded clusters updated

New Kubernetes version for embedded clusters is 1.25

Kubernetes node affinity

Node affinity available to separate execution resources from Hub core services
Documentation: KNIME Business Hub Admin Guide

Important Bug Fixes

Fixed a bug where two trigger deployments triggered at the same time could produce inconsistent results
Fixed faulty URLs on the API documentation
Fixed KNIME AP mount point registration https problem
Fixed an issue where global proxy settings could break executor functionality
Fixed an issue where Hub could get into a crash loop with many APs connected and large files being uploaded / downloaded at the same time

Changelog (KNIME Business Hub 1.5)

KNIME Business Hub 1.5.2

(released Aug 14, 2023)

Important installation notes

Postgres will restart during the update, short downtime is expected.

Infrastructure updates

KNIME Business Hub is now compatible with Kubernetes 1.25.

KNIME Business Hub 1.5.1

(released July 27, 2023)

Important Bugfixes

HUB-5628 Fixed an issue that prevented the creation of disabled schedules. Impacting KNIME Server to Hub migration.
HUB-5649 Fixed a bug that prevented notification service updates when a subscription for a deleted user was present.
Fixed a configuration issue that caused the trigger-service to not start up in some scenarios.

KNIME Business Hub 1.5.0

(released July 17, 2023)

Important installation notes

All executor pods will restart during the update, some downtime is expected. Creating a backup before upgrading is recommended.

New Features

Item level versioning

Item level versioning has been introduced with Hub 1.5.0
Users can create / restore / delete versions of individual items
Item versions can be utilized in Ad hoc execution, Deployments
Using KNIME Analytics Platform 5.1 users can leverage item level versioning for Ad hoc execution, sharing component links and use new nodes like the "Version Creator"
Space level versioning has been deprecated
All items in previously versioned spaces are automatically migrated to be versioned on item level upon updating

Volume Mount support for Execution Contexts

Kubernetes volumes can now be attached to Execution Contexts by editing the custom resource definition.
This allows attaching secrets and config maps as files to Execution Contexts.

Improvements

Keycloak enforces username validation

Username restrictions described in the [KNIME Business Hub Installation Guide](https://docs.knime.com/latest/business_hub_installation_guide/index.html#_keycloak_setup) are now enforced by KNIME Business Hub’s identity provider Keycloak. Preventing problems where users could be synced into Hub but they could not login with their credentials.

Notifications redesign

KNIME Business Hub UI notifications were redesigned to be less intrusive and to be more convenient for users.

Schedule deployment

Initial start date of schedules can no longer be in the past.

Space permissions

Users with viewer permission can no longer delete spaces

Infrastructure updates

Artemis update

Artemis version has been updated to 2.29.0

Quarkus update

Quarkus has been updated to 3.1.1 in the execution services

Execution Context security hardening

Execution Contexts now have a more restrictive security context to help prevent containers from escalating privileges and prevent running as root user. This increases compliance with typical enterprise cluster security policies enforced with tools such as Kyverno.

Important BugFixes

HUB-4991 - Fixed a bug where users were not able to execute deployments shared with them, if they didn’t have access to the deployed workflow.
HUB-5396 - Fixed the state persistor issue that could result in timeouts and various problems in workflow execution on the Hub.

Changelog (KNIME Business Hub 1.4)

KNIME Business Hub 1.4.2

Main motivation for the 1.4.2 KNIME Business Hub release is to prepare for the upcoming 5.1 KNIME Analytics Platform release. It is an optional update as 1.5.0 Business Hub is coming out with all new features before AP 5.1.

Improvements

Support for using KNIME Analytics Platform 5.1 as a workflow editor. Compatibility with uploading workflows to the Hub using KNIME AP 5.1.

Important Bugfix

HUB-5396 - Fixed the state persistor issue that could result in timeouts and various problems in workflow execution on the Hub.

KNIME Business Hub 1.4.1

Important Bugfixes

Fix Bug disabled functionalities for interacting with components in the HUB from AP versions (4.7.0, 4.7.1, 4. 7.2, 4.7.3, 5.0.0) affected by a bug in which saving shared components might delete local workspaces
Listing HUB spaces from affected AP versions will return the components as data objects, which don’t have the potential to trigger the bug, but limits the use of components.
Changed file extension for downloading components from .knwf to .knar.

KNIME Business Hub 1.4.0

Important installation notes

Please calculate with some downtime during which some services might not be available.

New Features

Data apps

Share data app deployments with "any signed in user"
You can now share your data apps with every Hub user in your company with one setting. Data app deployments shared this way will be available in every user’s data apps portal.

Share data app deployments with external groups
Sharing data app deployments with users from externally managed groups (e.g. LDAP/AD groups) is now available. This is done by either importing LDAP groups to Keycloak, or by connecting Keycloak to an external OIDC provider, which provides groups through the access token. Usage of such external groups is for sharing of data app deployments only. The actual users who run the deployments are still managed within KNIME Business Hub.

Data Apps Portal UX enhancements
Enhanced the visual design and user experience of the data apps portal, enabling the addition of categories and descriptions to data apps. This enhancement allows data app consumers to effortlessly filter and identify relevant data apps based on their category and description.

Content Security Policy for data apps
Admins of KNIME Business Hub can now set custom Content Security Policies for data apps, to restrict which resources, from where can be loaded into the data app’s user’s browser. See more in: Business Hub Admin Guide.

Deployments

Editing deployments
Recreating deployments is no longer needed just to change their configuration.

Admin functionality

Backup / restore via Velero
KNIME Business Hub is now complemented with the widely used, open-source backup / restore tool: Velero. You can mitigate the risk of serious data loss by setting up a backup schedule. The backup process does not require any downtime.

X-Frame-Options Header
Now admins can also select from different X-Frame-Options header options, to prevent clickjacking attacks. See more in: Business Hub Admin Guide.

Security
Improved security by removing sensitive information shown in the HTML source code.

Edge

KNIME Edge integration
KNIME Edge 1.3 is now compatible with KNIME Business Hub 1.4.

Important Bugfixes

HUB-4774: Next execution time for schedules repeating every 24 hours cannot be computed
HUB-5093: Heap size calculation doesn’t work on Ubuntu 22.04 (Cgroups V2), leading to a too low limit being set for various services

Changelog (KNIME Business Hub 1.3.0)

KNIME Business Hub 1.3.0

(released April 03, 2023)

Important installation notes

With the release of KNIME Business Hub 1.3.0 new security features are introduced regarding executor communication. For this reason, KNIME Business Hub requires every executor to be on Analytics Platform version 4.7.1 or higher. You can find a list of the available executor images here.
With this release we changed the istio configuration of two services, to allow them to see the IP of the caller if the request is coming from within the cluster. This can cause those two services (keycloak-proxy, s3-proxy) to not start up in some scenarios, with a "too many open files" error in the istio-proxy container of those pods. This can be fixed by increasing the open file limit on the host VM, e.g. by running the following command:
sudo sysctl fs.inotify.max_user_instances=8192.
The KOTS App Manager is now on version 1.96.3. This new version fixes an important bug, so it should be updated before updating to KNIME Business Hub version 1. 3. To do so use the following command:
curl -sSL https://kurl.sh/knime-hub | sudo bash.
If you haven’t updated to KNIME Business Hub 1.2.0, yet, you need to follow update guide in the changelog for 1.2.0 before updating to 1.3.

New Features

Molecule sketcher
Use the new Molecule Widget (Labs) node to accept molecule input from your users. With this new node we made the integration of different sketchers easier and allowed to provide different sketchers also for the KNIME Analytics Platform. In this release the ketcher sketcher is included. Additional sketchers will follow in the upcoming releases.

Collections
Introduce your users to a topic using collection pages. Collection pages serve as a starting point for your users to explore examples and building blocks related to your chosen topic, facilitating their onboarding process. To start creating collections read our guide here.

KNIME Analytics Platform customization profiles
Use Business Hub to distribute preference profiles to either local Analytics Platform clients or to KNIME Hub executors. This can be used to e.g. easily ship database drivers. More information about Analytics Platform customization profiles here.

Trigger deployment
Trigger is a powerful new type of deployment which allows automating workflow execution based on specific conditions, such as another workflow or component being added or removed to a space. To get started with Triggers, check out our documentation here.

Changelog (KNIME Business Hub 1.2.0)

KNIME Business Hub 1.2.0

(released March 13, 2023)

KNIME Business Hub 1.1.1 to 1.2.0 Upgrade

KNIME Business Hub 1.2.0 is expected to run in a Kubernetes 1.23.x cluster. Prior versions of KNIME Business Hub ran in Kubernetes 1.21.x clusters.
For embedded kurl cluster installations, the cluster update process is to:
- First, check for updates in KOTS Admin Console.
- Once the KNIME Business Hub 1.2.0 update has been identified and preflight checks have been run, trigger the deployment.
- After the deployment process has completed, run the following command in the terminal of the host machine to upgrade the Kubernetes cluster version (among other components):
  - curl -sSL https://kurl.sh/knime-hub | sudo bash
  - You will have to enter y to various yes/no prompts during this upgrade process.

New Features

New supported Kubernetes versions: 1.22, 1.23, 1.24
Keycloak version updated to 19.0.3, see Keycloak documentation: https://www.keycloak.org/docs/19.0.3/server_admin/
Support for airgapped environments: Installing KNIME Business Hub in environments with no internet connection. Install instructions: https://docs.knime.com/ latest/business_hub_installation_guide/index.html#_introduction
Embedded docker registry for custom executor images: Embedded cluster installations using kURL now contain an embedded docker registry for storing custom executor images. Documentation: https://docs.knime.com/latest/business_hub_installation_guide/index.html#embedded-docker-registry-configuration
Recreate strategy for Execution contexts: For upgrading execution contexts now rolling updates and recreate strategies are both available.
Support for custom certificate authorities

Bugfixes

Removed the unused ipv6 listener in the Business User Portal container, that could cause crashes in some environments

Cookie settings

KNIME Business Hub Admin Guide

Introduction

Create and manage teams

Create a team

Allocate resources to a team

Manage team members

Delete a team

Execution resources

Create a shared execution context

Manage shared execution contexts

Advanced configuration of execution contexts

Users management

Delete a user

Make a user Hub admin

Expose external groups inside KNIME Business Hub

External OIDC provider

LDAP federation

Enable external groups

Docker executor images

Add extensions to an existing Docker image

Python and Conda in Docker images

Install Python in the executor Docker image

Set up the execution context

Customization profiles

Create a customization profile

Variable replacement

Client customization

Upload a customization profile

Upload via Data Application

Upload via REST request

Apply a customization profile

Apply a customization profile to KNIME Hub executor

Apply via Data App

Apply via REST request

Update a customization profile

Update via Data Application

Update via REST request

Detach a customization profile

Detach a customization profile from a KNIME Business Hub executor

Detach via Data Appliation

Detach via REST request

Delete a customization profile

Delete via Data Application

Delete via REST request

Advanced configuration

Configure networking

Configure TLS

Configure Browser Security

Node affinity

Create a collection

Administrator workflows

Workflows overview

Requirements and prerequisites

Requirements

Prerequisites

Discard Failed Jobs

Overview

Workflow specs

Deployment configuration

Data app

Schedule

List All Jobs

Overview

Workflow specs

Deployment configuration

Data app

Delete Old Versions

Overview

Workflow specs

Deployment configuration

Data app

Schedule

Scheduled Workflows Kick-Off Times

Overview

Worklfow specs

Deployment configuration

Data app

Count Workflows Running Per Day

Overview