Docker Containerization: Modernizing AIGC Multi-Service Architecture
From 11 CMD Windows to Unified Container Orchestration
In the journey of building an AI-powered content generation pipeline, managing multiple microservices across production environments presents unique challenges. Today we successfully containerized six core services using Docker Compose, achieving auto-restart, centralized logging, and health monitoring.
Our AIGC AutoPost system orchestrates a sophisticated pipeline: from Jiandaoyun webhooks triggering ComfyUI workflows for AI image generation, through digital human video synthesis, to automated publishing across WordPress, Instagram, XiaoHongShu, and X/Twitter.
Translation API powered by DeepSeek handles multilingual content generation. ComfyUI Scheduler manages GPU task queues routing workflows to dedicated 3090 servers. Digital Human Video combines TTS voice cloning with AI talking head synthesis. Chunyan Orchestrator connects all services as the central hub.
Total footprint: approximately 465MB RAM across six containers on a 64GB workstation. Each service now benefits from automatic restart, structured JSON logging, and health check monitoring through a single docker-compose.yml. Migration was performed with zero downtime using staged build-test-switch approach.
