Engineering
Position-Level Orphan Detection: Why Heartbeat Monitoring Isn't Enough
A 16-hour outage taught me that bot liveness and position safety are separate monitoring concerns. The gap between them is where losses live.
June 4, 20267m read
Engineering
The Reload Paradox: Why Live Systems Can't Stop to Learn
Most trading systems treat code updates like surgery — stop the patient, operate, restart. That assumption costs more than downtime.
June 1, 20268m read
Engineering
The State Survival Problem: Why Hot Reload Is Harder Than It Looks
Deploying code to a live trading bot without stopping it sounds like an ops trick. It's actually a fundamental question about what your system is allowed to forget.
May 28, 20268m read
Engineering
The State Preservation Problem: Why Hot Reload in Live Trading Is Harder Than It Looks
Most systems can afford a restart. A trading bot executing real capital every 5 minutes cannot. Here's the architecture that makes zero-downtime deployment possible without losing state, missing signals, or risking capital mid-update.
May 4, 20268m read
Engineering
The Bot Never Sleeps: Zero-Downtime Hot Reload for Live Trading Systems
Stopping a live trading bot to deploy code is not a deployment strategy — it's a risk management failure. Here's how I solved it.
April 16, 20268m read
Engineering
The Bot That Never Blinks: Zero-Downtime Hot Reload for Live Trading Systems
Most trading bots treat deployment like a surgery that requires general anesthesia. Foresight doesn't go under anymore. Here's the architecture that made that possible.
March 30, 20268m read
Engineering
Zero-Downtime Hot Reload for Live Trading Systems
Stopping a live trading bot to deploy code is the same as stopping a surgeon mid-operation to sharpen a scalpel. Here's how I built hot reload into an active money-trading system.
March 9, 20267m read