2.2 Workflow Automation

Task Queuing

• Tasks such as background removal, template customization, website building, A/B testing, ad campaign management, and text-generation requests are queued in RabbitMQ, ensuring smooth distribution across multiple worker nodes.

• Complex tasks (e.g., multi-step design processes or text generation with iterative prompts) are broken down into subtasks, each handled by specialized microservices.

Parallel Processing

• RabbitMQ enables consumers (workers) to handle tasks in parallel, distributing workloads to optimize resource usage and reduce processing time.

• Individual tasks (e.g., multiple images for background removal or multiple text variants for A/B testing) can be batched or processed in streams to further increase throughput.

Fault Tolerance

• If a worker fails to process a task, RabbitMQ automatically re-queues it, ensuring no

  task is lost.

• Health checks and circuit breakers in microservices detect failures and either retry

  tasks or reroute them to standby services.

• A centralized “Orchestrator AI Agent” can redistribute tasks if resource bottlenecks,

  or node failures are detected.