---
title: "Discussion on \"Building a Crash-Safe Bid Engine in Go: Heaps, Race Conditions, and Recovery\" | Hashnode"
description: "Discussion on \"Building a Crash-Safe Bid Engine in Go: Heaps, Race Conditions, and Recovery\". How I built a concurrent bid-matching engine in Go with heaps, fixed a self-deadlock bug, and made it recover from a crash via event replay."
url: "https://hashnode.com/posts/building-a-crash-safe-bid-engine-in-go-heaps-race-conditions-and-recovery/6abb5868f2b1c1b8d293d1bd"
---

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# [Building a Crash-Safe Bid Engine in Go: Heaps, Race Conditions, and Recovery](https://ahmedmahsook.hashnode.dev/building-a-crash-safe-bid-engine-in-go-heaps-race-conditions-and-recovery?utm_source=hashnode&utm_medium=feed)

How I built a concurrent bid-matching engine in Go with heaps, fixed a self-deadlock bug, and made it recover from a crash via event replay.

Sep 29 · 6 min read · ahmedmahsook.hashnode.dev  
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-   [#golang](https://hashnode.com/tag/golang)
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-   [#concurrency](https://hashnode.com/tag/concurrency)
-   [#system-design](https://hashnode.com/tag/system-design)

## Written by

[Ahmed Mahsook](https://hashnode.com/@mahsook)

@mahsook · Bangalore, India

  
[View profile](https://hashnode.com/@mahsook)

Backend engineering notes from building real systems Go, concurrency, and distributed backends.

I'm a backend developer who likes systems where getting it wrong costs money or breaks trust auctions, payments, anything with real concurrency and state to protect. My stack is Go, gRPC, PostgreSQL, and Redis, with Docker for everything I ship. I'm currently a Full Stack Developer Intern at Bridgeon Solutions, building backend services in Go and Gin with PostgreSQL and Redis. Outside of work, I'm building PriceFlow, a multi-service auction marketplace: an in-memory bid engine that survives a crash and rebuilds itself from persisted events, a wallet and escrow system where every money movement is idempotent, and Razorpay payment integration behind JWT auth and role-based access. I also built IronForge, a full-stack e-commerce platform, where PostgreSQL indexing cut product search time significantly. I'd rather deeply understand one hard system than skim ten easy ones. I'm currently looking for my first full-time backend engineering role at a product company ideally one where I'll be pushed by senior engineers and get to work on problems with real technical depth.

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