2024-01-19

Recordings:

https://www.youtube.com/watch?v=Vq0ZBqayngI

https://www.youtube.com/watch?v=uKUJpLZCIpU

yuuvis® 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 properties

    • Business 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.

    image-20240119-074917.png

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