Systems Catalog
Intelligent Flask Applications
A curated collection of production-grade Flask architectures, AI agent workflows, real-time computer vision hubs, and asynchronous worker topologies.
pipelines
NeuralSync Distributed Workers
Asynchronous AI Pipeline & Celery Task Worker Mesh
Distributed workflow orchestrator combining Flask with Celery, RabbitMQ, and Redis. Handles long-running batch generative AI tasks, audio transcription matrices, and image synthesis queues with automatic exponential backoff, circuit breaking, and live progress hooks.
Architectural Highlights
- Dead-letter queues with automated incident auto-remediation
- Dynamic worker scaling based on queue depth metrics
- WebSocket live task progress pub/sub to web clients
- Integrated OpenTelemetry distributed tracing spans
12,500 tasks/min
throughput
99.99% Execution
reliability
48 Worker Pods
nodes
< 0.05%
retry_rate