Software Architecture on Beyond the Bytes

Part 2 - From $O(N^2)$ to $O(N)$ with Zero Memory Churn: A Go Optimization Story

Sun, 26 Apr 2026 06:00:00 +0000

In my previous post, I optimized a slice difference algorithm ($O(n+m)$) by pre-allocating memory. But as a Software Architect, I immediately asked myself:

Can I do this with zero extra memory for the result?

The answer is an in-place algorithm, implemented using the two-pointer technique.

In high-performance systems and big data pipelines, this approach is often the gold standard because it minimizes memory churn and reduces pressure on the garbage collector.

Part 2 - From $O(N^2)$ to $O(N)$ with Zero Memory Churn: A Go Optimization Story

Sun, 19 Apr 2026 06:00:00 +0000

🚀 From O(N2) to O(N) with Zero Memory Churn: A Go Optimization Story

As a Software Architect, I believe the difference between “code that works” and “production-grade engineering” lies in understanding the runtime. Today, I’m sharing a journey of optimizing a simple Array Difference algorithm in Go (Golang), achieving a 66% reduction in RAM and a 73% drop in allocations. 🛠️ The Evolution of the Solution Step 1: The Functional Baseline (The “Naive” Approach)