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For yuuvis® Momentum version updates, we recommend the usage of our Helm Charts.
>> Version Updates
When updating your yuuvis® Momentum installation from version 2022 Autumn to version 2022 Winter LTS, manual configuration changes are required for some services.
If you update from version 2021 Winter LTS, please refer to the summarized update instructions:
>> Update Instructions 2021 - 2022 Winter LTS
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The following Breaking Changes are incompatible changes we had to deploy into operation, and therefore you—as a yuuvis® user—need to be aware of them and take action accordingly.
InfrastructureSupport of Keycloak Version 19To use Keycloak version 19, it is required to manually adjust the
CoreTenant-specific Database ConfigurationIt is now possible to configure different databases to be used for storing metadata of individual tenants. Configurations for previous product versions are not supported any longer. The Action: If you use the TENANT-MANAGEMENT service in your installation, apply the breaking change for the METRICS service configuration first. Afterwards, apply the new configuration to the core services as described here. To continue using the same database for all tenants, replace the
To use different databases for individual tenants, please read the documentation of the application-dbs.yml configuration file. Client Services & Client DevelopmentDeveloper LibrariesTask Properties in InboxThe inbox provided by the @yuuvis/core library uses the Web-API Gatewaybpm-controller EndpointsThe optional query parameter Tenant ManagementMETRICS ServiceAs the METRICS service still uses only one database for the data of all tenants, it uses an own configuration file with its own database connection parameters now. Actions:
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Some new features require manual configuration in order to operate properly after the update to the new yuuvis® Momentum version.
The ML Training Pipeline uses MLflow 2.0 now. Thus, the response format is not compatible with models of the beta version that was available for previous yuuvis® Momentum versions. If you already trained some beta version models, you need to