AWS Deadline Cloud

AWS Deadline Cloud now supports expressions in job templates

AWS Deadline Cloud now supports flexible expressions and rich parameter types in job templates, giving customers a cleaner, more powerful way to fit the service to existing production pipelines.

AWS Deadline Cloud now supports ECS containers on Linux Service-Managed Fleets

AWS Deadline Cloud now supports running jobs using Docker containers from Amazon Elastic Container Service (ECS) on Linux-based service-managed fleets.

AWS Deadline Cloud now supports sharing job bundles

, giving teams a simple way to distribute and reuse render job templates without manual file distribution.

AWS Deadline Cloud now tracks automatic download status in the Deadline Cloud Monitor

The AWS Deadline Cloud monitor now shows the progress, status, and health of your automatic file downloads from jobs running in the cloud.

AWS Deadline Cloud Now Supports EBS Persistent Volume Cost Tracking

AWS Deadline Cloud now surfaces costs related to Amazon Elastic Block Store (Amazon EBS) persistent volumes in the Usage Explorer in the Deadline Cloud Monitor app.

AWS Deadline Cloud now supports multi-region farm access from a single monitor

Customers using AWS Deadline Cloud can now easily access farms across all Deadline Cloud regions from a single monitor.

AWS Deadline Cloud now supports plugin sync for service-managed fleets

AWS Deadline Cloud now gives you an easier way to deliver plugins to cloud workers when using service-managed fleets.

AWS Deadline Cloud now supports persistent storage for Service Managed Fleets

AWS Deadline Cloud now supports persistent storage for Service-Managed Fleets (SMF), allowing you to maintain data across worker lifecycle events.

AWS Deadline Cloud now supports browsing job attachments in the monitor

AWS Deadline Cloud now supports browsing job attachment files directly within the Deadline Cloud monitor.

AWS Deadline Cloud now supports custom scripting for job submission workflows

AWS Deadline Cloud now supports running custom scripts before and after job submission, giving studios the ability to integrate their pipeline directly into the submission workflow.

AWS Deadline Cloud announces AI-powered troubleshooting assistant for render jobs

Today, AWS Deadline Cloud announces an AI-powered troubleshooting assistant that helps you quickly diagnose and resolve render job failures.

AWS Deadline Cloud supports monitor creation in multiple regions

Today, AWS Deadline Cloud announces support for creating monitors in multiple AWS Regions without additional configuration of your IAM Identity Center instance.

AWS Deadline Cloud now supports configurable job scheduling modes for queues

Today, AWS Deadline Cloud announces support for configurable job scheduling modes, giving you control over how workers are distributed across jobs in a queue.

AWS Deadline Cloud now supports new fleet scaling configurations for render farms

Today, AWS Deadline Cloud introduces three powerful new fleet scaling options that give you greater flexibility in managing your render farm capacity and performance: worker idle duration, standby worker count, and scale out rate.

AWS Deadline Cloud now supports running tasks together in chunks

Today, AWS Deadline Cloud announces support for grouping tasks into chunks to efficiently execute multiple tasks together.

AWS Deadline Cloud now supports editing job name and description

AWS Deadline Cloud now supports editing job names and descriptions after submission. This new feature makes it easier to organize and identify jobs after submission by updating names or adding useful tracking details in the description field.

AWS Deadline Cloud now supports machine learning training using Foundry Nuke CopyCat

Today, AWS Deadline Cloud announces integration with Foundry Nuke CopyCat, allowing you to run machine learning training jobs for visual effects in the cloud.