🧠 Backend Performance Optimization
I focus on optimizing backend performance by reducing unnecessary work in queries, data loading, and processing.
🎯 How I Approach Optimization
Most performance issues I’ve seen come from:
These issues don’t always show early, but they impact:
🧩 Key Areas I Optimize
Query Indexing
I add indexes based on actual usage patterns:
At the same time, I avoid:
👉 I treat indexing as a tradeoff, not a default
Reducing Model Usage
I avoid loading full models when they are not needed.
Instead, I:
👉 Less model hydration improves performance and memory usage
Handling N+1 Queries
I watch for N+1 patterns, where:
To fix this, I use:
👉 This reduces multiple database round trips
Avoiding Duplicate Queries
In some flows, the same data gets queried multiple times across methods.
To handle this, I:
👉 Reduces unnecessary database load and keeps data consistent
⚖️ Tradeoff Awareness
Optimization can introduce:
So I focus only on:
📌 Practical Approach
I don’t optimize blindly.
I first identify:
Then apply targeted improvements.
💬 Summary
My optimization approach is:
This helps maintain systems that are both fast and scalable without over-engineering.