If the soft delete function is activated, deleted assets will not be deleted directly from TESSA in future. This means that accidentally deleted assets can be easily restored within a period of up to 6 weeks. After 6 weeks, the assets will be permanently deleted and will no longer be available in the system.
New channel settings will provide additional options for creating and publishing derivatives in the future. These include, for example, the automatic rotation of images, conversion to grayscale images and the automatic cropping of images. In addition, support for existing and new color profiles has been further expanded and improved.
The security of TESSA has been further enhanced with various adjustments and functions. These include, for example, the automatic log-out after a defined period of inactivity, the automatic creation of secure passwords for new users, the revised “Forgot password” function and improved session handling.
Thanks to the new partnership with Toolpilots, we have developed the right extension together with our new partner to be able to use TESSA and Toolpilots MATE optimally together. All assets for marketing planning can thus be linked directly to Toolpilots MATE. Appropriate workflows can also be used to optimize and automate joint work in the team and within linked marketing projects.
When working with large amounts of data in the terabyte range, we pay particular attention to data security. As regular time-controlled backups can reach their limits here, TESSA now has the option of backing up asset data in real time and restoring it promptly in the event of data loss.
Computing-intensive processes such as the conversion of assets (image and video files) are processed by TESSA via a separate conversion server. With this update, it is now possible to connect any number of conversion servers to **TESSA ** in order to be able to react even better to peak loads.
With the release of the new Akeneo 6.0 version, we have made some adjustments to the Akeneo connector in order to continue to work optimally with Akeneo. For example, the synchronization of data between Akeneo and TESSA has been optimized and accelerated.