The releases of XNAT 1.9.3.3, Container Service 3.8.0, and JupyterHub 1.3.4 enable increased efficiencies in running XNAT at scale, for both importing image data, running processing containers, and triggering automations via the Event Service while handling large volumes of files.
Bugfixes to scan merging and naming logic and resilience to custom routing in the Prearchive following a system restart.
Added efficiencies in handling large volumes of files during upload and archiving.
Improvements to mounting shared files for use in the Container Service and JupyterHub.
Added efficiencies when handling event subscriptions during high volume data transactions.
For full details, see the XNAT 1.9.3.3 Release Notes.
UI improvements to orchestration and “Run” menu command selection
Enable logs to be viewable by project members, via configuration
Multiple improvements for managing containers in a Kubernetes environment
For full details, see the Container Service 3.8.0 Changelog.
Updates to take advantage of staging of shared files as introduced in XNAT 1.9.3.3
For full details, see the JupyterHub Plugin 1.3.4 Changelog.
Watch this space for an announcement of the XNAT 1.10.0 release, which is coming soon.