aem-workflow-development

To create a custom WorkflowProcess in AEM Cloud Service, implement the Granite Workflow API with Java 21 compatibility, using recommended model paths and best practices for automated processing steps. This skill provides practical code examples for building and debugging these components.

Asset Microservices post-processing workflows in AEM as a Cloud Service are configured by integrating custom Granite Workflow models with the cloud-native asset processing pipeline, automating tasks like metadata extraction and rendition generation.

Yes, AEM Cloud Service workflow development requires Java 21 compatibility. Building and debugging custom Granite Workflow components and WorkflowProcess implementations must align with the modern Java 21 runtime environment.

The best way to debug Granite Workflow APIs in AEM Cloud Service involves leveraging recommended model paths, inspecting launcher configurations, and analyzing workflow payload progression using modern cloud-native debugging patterns and best practices.

Setting up launcher configurations for AEM automated workflows requires defining event triggers that map to specific Granite Workflow models, enabling automatic execution of custom WorkflowProcess steps upon content or asset modifications.

Yes, you can build custom participant steps for manual workflow approval in AEM Cloud Service. The Granite Workflow API supports creating interactive dialogs and assigning tasks to specific users or groups for manual review scenarios.