23.1 Release

23.1 Release Documentation

Release Description

Release Artifacts

Please see the Service Area Changelogs for detailed information and release artifacts.

Service Area	Changelog
Algorithm Development	https://github.com/unity-sds/unity-ads/blob/main/CHANGELOG.md
Analytics Services	https://github.com/unity-sds/unity-analytics/blob/main/CHANGELOG.md
Common Services	https://github.com/unity-sds/unity-cs/blob/main/CHANGELOG.md
Data Services	https://github.com/unity-sds/unity-data-services/blob/main/CHANGELOG.md
On-Demand SDS	https://github.com/unity-sds/unity-on-demand/blob/main/CHANGELOG.md
Science Processing Services	https://github.com/unity-sds/unity-sps/blob/main/CHANGELOG.md
UIUX	https://github.com/unity-sds/ui-ux/blob/main/CHANGELOG.md

Capabilities by Service Area

Capability	Service Area	Description
App Pack Generator	U-ADS	Given a Jupyter notebook, package it into the format needed for running in Unity ADES (Docker, CWL, stage in, out methods)
Dockstore API added to Unity Py	U-ADS	Publish a hosted workflow to Dockstore (e.g. publish workflows, application packages)
Deployment Updates	U-ADS	Updates to docker containers, MCP AMIs, and other miscellaneous upgrades for all components
Gitlab Integrations	U-ADS	Gitlab project implemented to build other builds, MCP gitlab runners added
BCDP Appliation Package	U-AS	Generic capabilities (regridding) including extended parameters and wrapped as application package for execution in Unity ADES
Jupyter Security	U-CS	Added Unity login credentials to Jupyter environment to allow single log in and propagation of token to Unity calls.
Deployment Venue support	U-CS	Github Actions and Control Plane mechanisms for deploying Unity Venues - will lead to self-service service deployment in Unity environments.
MCP specific resource tagging	U-CS	Documentation for tagging AWS resources in MCP to fulfill cost reporting requirements
Stage-in STAC Download	U-DS	Added ability to download files from S3 via STAC
Functional Separation	U-DS	Separated CMR Search, stage-in, stage-out and catalog steps into discreet steps for future workflow integration
Initial Implementation	On-demand SPS	Ability to pre-scale a cluster to reduce processing latency
Data Availability Triggers	On-demand SPS	Respond to data availability
Shared Ancillary data	SPS	Allow sharing of large ancillary files between cluster nodes for scaled processing
Kubernetes Scaling	SPS	Enabled kubernetes scaling to support scaled processing and pre-warm capabilities
Automated Testing	SPS	Added smoke-tests on deployment to ensure user deployed venues are set up correctly
WPS Parameters	SPS	Enabled generic mapping of WPS inputs to allow for more custom processing
Unity Landing page	UIUX	Unity landing page developed for URL and Unlimited Release (pending)
Processing libraries	UIUX	Added job service encapsulation to Unity-py

System Release Test Plan

System Test plan is in progress and can be viewed at the Unity System Test Repository

System Test Summary