AWS Deadline Cloud enables users with access to specific queues, fleets, or jobs to directly find their accessible resources from the Deadline Cloud monitor, eliminating the need to obtain farm IDs from administrators.
AWS Deadline Cloud now supports running jobs using Docker containers from Amazon ECS on Linux-based service-managed fleets, enabling a faster transition from existing containerized software workflows to a fully managed render and compute farm.
AWS Deadline Cloud now supports expressions and rich parameter types in job templates, enabling easier automation of production pipelines with Python-style syntax for arithmetic, conditionals, and more.
AWS Deadline Cloud now displays costs for Amazon EBS persistent volumes in the Usage Explorer, helping users track and manage storage expenses across fleets.
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