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Please note
When describing the features, please ensure that the following questions are answered
Why are we doing this?
What problem are we solving?
For which target group are we doing this?
What is the value/added value we want to achieve?
yuuvis® RAD 9.14/9.16 LTS
yuuvis Momentum 2023 Winter LTSyuuvis® RAD 9.14/9.16 LTS
Presented by Martin B., Duration approx. 25 min.
We will present only highlights today. See all new features here:
Release Overview 9.x
Database Drivers are updated, and PostgreSQL 16 is supported as well.
All Microservices are updated to Spring Boot 3.1.5 and CAMEL 4.1.0.Business value: Keep the application future-proof and secure.
New: Some look & feel changes to the service manager interface.
Client Dashboard: Performing a saved search from the dashboard needs
fewer clicks.Business value: better productivity
Client Request Signatures: The request signatures dialog is optimized.
Business value: better productivity due to a better user experience
Client Create Objects: Users can change the newly selected object type for a
bundle of files in the in-tray.Business value: better productivity by not repeating the file import
Client Form Tables: data import via CSV file
Business value: better productivity by avoiding manual typing
Client Chart Widgets: Introduction of partial values and histogram types ‘year’,
‘month’, ‘week’, and ‘day’ for date propertiesBusiness value: better productivity with statistics that show specific time axis
Client Settings: It is possible to store the locally saved client settings to the server
as well and reload them from there.Business value: better productivity by avoiding a daily setup
Management-Studio Operation: The new operation 'Synchronize retention' synchronizes the retention times set on storage.
yuuvis Momentum 2023 Winter LTS
Duration approx. 25 min.
Process and task management in architect (Bratislav: 5 minutes)
Business value: Administrators can manage running processes more efficiently.
Kairos API (Wissal: 10 minutes)
Business value: Use a machine learning pipeline to train a model and deploy it without prior AI knowledge.
core (Andreas: 10 minutes)
Batch-Update with Greedy-parameter for easier handling of bulk imports
Future merging of some core services for better scaling and performance
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