Performance

Introduction As my POS system scaled, performance bottlenecks became increasingly apparent. Customers began complaining about slow bill generation times, which made checkout frustratingly sluggish. After profiling my Django APIs, I discovered that inefficient ORM queries were causing unnecessary database overhead, leading to significant slowdowns. This prompted a deep dive into ORM optimizations to reduce query execution time and improve the overall user experience. In this post, I’ll share how I optimized my Django ORM queries using select_related, prefetch_related, bulk operations, and query profiling tools to enhance the efficiency of my refund API and bill generation process. ...

Introduction When dealing with financial transactions in Django applications, maintaining an accurate ledger is critical. However, inefficient signal handling can lead to performance bottlenecks. In this article, we’ll explore an optimized approach to recalculating ledger balances while ensuring minimal database impact. The Problem A typical ledger system requires recalculating balances when transactions are inserted, updated, or deleted. Using Django signals, many implementations trigger redundant recalculations, causing excessive database queries and slowing down the application. ...

Introduction In modern web applications, speed and responsiveness are essential for a smooth user experience. One effective strategy to achieve this is preloading data when a page loads. For example, on a generate invoice page, preloading product data upon mounting ensures that users can search through products without any noticeable delay. This article explains the benefits of preloading data and includes a practical code example. Benefits of Preloading Data Preloading data on page load offers several key advantages: ...