What is AWS Deadline Cloud?
AWS Deadline Cloud is a fully-managed AWS service that enables you to have a scalable processing farm up and running in minutes. It provides an administration console for managing users, farms, queues for scheduling jobs, and fleets of workers that do the processing.
This developer guide is for pipeline, tools, and applications developers in a wide range of use cases, including the following:
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Pipeline developers and technical directors can integrate Deadline Cloud APIs and features into their custom production pipelines.
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Independent software vendors can integrate Deadline Cloud into their applications enabling digital content creation artists and users to submit Deadline Cloud render jobs seamlessly from their workstations.
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Web and cloud-based service developers can integrate Deadline Cloud rendering into their platforms, enabling customers to provide assets to view products virtually.
We provide tools that enable you to work directly with any step of your pipeline:
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A command-line interface that you can use directly or from scripts.
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The AWS SDK for 11 popular programming languages.
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A REST-based web interface that you can call from your applications.
You can also use other AWS services in your custom applications. For example, you can use:
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AWS CloudFormation to automate creating and removing farms, queues, and fleets.
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Amazon CloudWatch to gather metrics for jobs.
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Amazon Simple Storage Service to store and manage digital assets and job output.
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AWS IAM Identity Center to manage users and groups for your farms.
Open Job Description
Deadline Cloud uses the Open
Job Description (OpenJD) specification
You can create an OpenJD job template using a submitter that Deadline Cloud provides, or you can use any tool that you want to create the template. After creating the template, you send it to Deadline Cloud. If you use a submitter, it takes care of sending the template. If you created the template another way, you call a Deadline Cloud command-line action, or you can use one of the AWS SDKs to send the job. Either way, Deadline Cloud adds the job to the specified queue and schedules the work.