Building a Real Time Sports Scoring Engine with WebSockets and DynamoDB Streams
The Problem Sports scoring sounds simple. One team scores a point, the number goes up, everyone sees it. But when you build it as a web application th…
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Engineering Real-Time Telemetry and Secure Clinical Messaging with SignalR
I’ve spent plenty of time wrestling with WebSockets in my career, but things get a lot more intense when you're dealing with live cardiac vitals and p…
Coordinating 100+ AI Agents in the Field: Practical Patterns for Robotic Swarms
Introduction We shipped our first 10-robot demo and thought the hard part was solved. Here’s what we learned the hard way when we moved to hundreds of…
What Broke When We Hit 100k WebSocket Connections (And How Realtime Orchestration Saved Us)
Introduction We built a product that streams AI model outputs to browsers and backend agents in realtime. At first, a few hundred WebSocket connection…
What Broke After 10M WebSocket Events (And How We Fixed Our Realtime AI Orchestration)
Introduction We built a realtime AI feature for a multi-tenant SaaS: live agent assistants that coordinate across services and update UIs via WebSocke…
What Broke After 10M WebSocket Events (And How We Rewired Our Realtime AI Pipeline)
Introduction We hit a wall after about 10 million WebSocket events in a month. Latency spikes, dropped messages, and opaque failures started showing u…
What Broke After 10M WebSocket Events (And How We Fixed Our Realtime AI Orchestration)
Introduction We hit a hard wall when our realtime AI feature started processing millions of small events per day. Latency spiked, connection churn inc…
What Broke When Our Realtime AI Pipeline Hit 50k WebSocket Clients (And How We Fixed It)
Introduction We shipped an MVP realtime AI feature: multi-agent chat, WebSocket frontends, and a small orchestration layer to route messages between a…
What Broke After 10M WebSocket Events — How We Rebuilt a Realtime AI Orchestration Layer
Introduction We hit a hard scaling wall after shipping a realtime feature tied to our AI agents. Latency spiked, message loss crept in, and ops time b…
What Broke After 10M Realtime Events — and How We Re-architected for Realtime AI Workflows
Introduction We hit a scaling cliff when our product moved from a few thousand concurrent users to tens of thousands. The thing that looked trivial in…