Create an MLflow AI connection to an Edge site (beta)

Steps

1. Open an Edge site.
   1. On the main toolbar, click → Settings.
      The Collibra settings page opens.
   2. In the tab pane, click Edge.
      The Sites tab opens and shows a table with an overview of the Edge sites.
   3. In the table, click the name of the Edge site whose status is Healthy.
      The Edge site page opens.
2. In the Connections section, click Create connection.
   The Create connection page appears.
3. Select the MLflow AI connection to connect to MLflow.
4. Enter the required information.

   Field	Description	Required
   Name	The name of the Edge MLflow AI connection.	Yes
   Description	The description of the connection.	No
   Vault	The vault where you store your data source values.	No
   MLflow URL	The URL to your MLflow platform. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	Yes
   Authentication Type	The type of authentication you use. The possible values are Basic Authentication and OAuth. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	No
   Username	The username that you use to sign in to MLflow. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	No
   Password	The password that you use to sign in to MLflow. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	No
   Token URL	The token URL of your MLflow OAuth client. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	No
   Client ID	The client ID for the OAuth-based authentication on MLflow. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	Yes, if you select OAuth as the authentication type.
   Client Secret	The client secret generated for the OAuth-based authentication on MLflow. How to use your vault... To use your vault, do the following: In the Value Type field, select Vault Key. Enter the query value to identify the secret in your vault. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Engine Type Select one of the following: Key Value Database Engine Path The engine path to your vault where the value is stored. Secret Path The secret path to your vault where the value is stored. Field The name of the field to your vault where the value is stored. Note Only available if you selected Key Value in the Secret Engine Type field. Role The role specified in the Database engine. Note Only available if you selected Database in the Secret Engine Type field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Vault Name The name of your Azure Key Vault in your Azure Key Vault service where the value is stored. Secret Name The name of the secret in your vault where the value is stored. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the required information: Name Description Secret Name The name of the secret in your vault where the value is stored. Field If the secret stored in your AWS Secrets Manager is a JSON value, for example {"pass1": "my-password", "pass2": "my-password2"}, then you need to specify the Field to point to the exact JSON value that should be used. For example, Secret Name: edge-db-customer; Field: pass. Note If the secret stored in your AWS Secrets Manager is a plain string value, for example my-password, then you do not need to specify the Field. Example  To use your vault, do the following: In the Value Type field, select Vault Key. Enter the name of the secret in your vault where the value is stored. Example	Yes, if you select OAuth as the authentication type.

5. Click Create.
   The connection is added to the Edge site.