In this post, we'll walk through the architecture and key design decisions behind a real-time trading analytics platform that processes tick-level market data for multi-asset operations. Architecture Overview
Single-agent AI systems hit limits when tasks require diverse expertise or complex multi-step reasoning. Multi-agent orchestration solves this by having specialised agents collaborate — each with its own context, tools, and
Spark shuffle is one of the most common sources of performance problems in distributed data processing. In this guide, we'll walk through what shuffle actually is, how to