Say goodbye to manual job bundle copying! Sharing arrives on AWS Deadline Cloud!

Hi everyone, it's me! Today I found an update from AWS's rendering side that quietly makes teamwork a lot smoother, so let me share it with you!

AWS What's New aws.amazon.com

What was announced?

In the AWS What's New, AWS Deadline Cloud announced support for sharing job bundles.

Deadline Cloud is a fully managed service that helps teams run compute-intensive workloads in the cloud, for fields like visual effects, animation, product design, simulation, and gaming. A job bundle defines the job you submit to Deadline Cloud, including the job template, parameters, and asset references.

The story so far

Until now, sharing a bundle with your teammates meant distributing files through a shared drive or copying them manually. Even after a pipeline team built a standard template, getting it into artists' hands took extra steps every time.

What changes

With this update, you can publish a bundle to your queue directly from the submitter or the command line. The moment you publish it, it becomes available to everyone with access to that queue.

In other words, once a pipeline team sets up a standard, ready-to-submit job template and publishes it, artists can just pick it up and use it right away! Cutting out the manual file handling is a small but genuinely satisfying win.

Dive Deep

Here are the concrete details from the announcement:

• Shared bundles are packaged as portable archives and stored in the queue's existing job attachments bucket in Amazon S3, so there's no additional infrastructure or configuration to set up
• You can browse bundles from three places: your queue, your local filesystem, or your job submission history
• Before selecting a bundle, you can preview its name, description, steps, and parameters
• New CLI commands let you manage shared bundles from the command line and integrate bundle sharing into pipeline scripts
• This feature is available in all AWS Regions where Deadline Cloud is available

Wrap-up

• AWS Deadline Cloud now supports sharing job bundles
• Bundles used to be distributed via shared drives or manual copying; now you just publish them to your queue
• Bundles are stored in the queue's existing S3 bucket, so no extra infrastructure is needed
• You can browse bundles from your queue, local filesystem, or submission history, and preview them before use
• New CLI commands also make it easier to integrate bundle sharing into pipeline scripts

For pipeline teams maintaining standard templates on Deadline Cloud, and for artists who want to grab and use them right away, this is an update that quietly removes a lot of everyday friction!