Code examples for Deadline Cloud

The deadline-cloud-samples GitHub repository contains a collection of working artifacts for AWS Deadline Cloud. The examples cover job submission, software packaging, infrastructure deployment, worker configuration, and more. You can submit, deploy, or adapt them for your own farms.

The following sections describe each category of example and link to individual topics that explain when to use each one.

Tutorials

Complete walkthroughs that take you from prerequisites to a working result on a real workload. Each tutorial covers prerequisites, step-by-step instructions, parameter references, and cleanup.

For details, see Tutorials for Deadline Cloud.

Job bundle examples

Job bundles define jobs that you submit to a Deadline Cloud queue. The repository includes job bundles for digital content creation (DCC) renderers such as Maya, Blender, Houdini, Nuke, 3ds Max, Cinema 4D, KeyShot, and VRED. It also includes machine learning workloads, multi-step rendering pipelines, and small examples that demonstrate individual concepts such as job parameters, environments, and job attachments.

For details, see Job bundle examples for Deadline Cloud.

Conda recipe examples

Conda recipes build conda packages that supply applications and plugins to your jobs through a queue environment. The repository includes recipes for many versions of Maya, Blender, Houdini, Nuke, 3ds Max, Cinema 4D, KeyShot, and Unreal Engine, along with renderer plugins such as Arnold, V-Ray, and Redshift.

For details, see Conda recipe examples for Deadline Cloud.

CloudFormation template examples

CloudFormation templates deploy farms and supporting infrastructure. The repository includes a starter farm template, templates for connecting service-managed fleets to private VPC resources, and templates for capacity management, standby scheduling, fleet health checks, and budget notifications.

For details, see CloudFormation template examples for Deadline Cloud.

Host configuration script examples

Host configuration scripts run with elevated privileges on service-managed fleet workers to install software, configure GPU runtimes for containers, install fonts, enable swap, and perform other administrative tasks. You attach a script to a fleet through the Deadline Cloud console or the update-fleet CLI command.

For details, see Host configuration script examples for Deadline Cloud.

Queue environment examples

Queue environments provide software applications to your jobs. The repository includes several conda-based queue environments with different performance trade-offs, a Rez-based queue environment for customer-managed fleets that have a shared file system, a pip-based queue environment for Python-only packages, and a queue environment that disconnects usage-based licensing so you can use a custom license server.

For details, see Queue environment examples for Deadline Cloud.

Other examples

The repository also includes the following examples:

Additional resources

The following resources help you author and run your own examples in Deadline Cloud.