Explore how agentic commerce challenges traditional composable architectures—and why unifying data, logic, and execution is key to scalable AI-driven commerce.
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.
Learn why a multi-tier caching strategy combining a CDN and mid-tier cache delivers better ROI. Discover how deterministic caching, improved origin offload, lower tail latency, and predictable costs outperform a CDN-only architecture for modern applications.
Explore a real-time pub/sub architecture where MQTT, WebSockets, Server-Sent Events, and REST work together with persistent data storage in one end-to-end system, enabling real-time interoperability, stateful messaging, and simplified service-to-device and browser communication.
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