Category: MySQL

In the world of data science and machine learning, specialized tools like Python with scikit-learn, R, or dedicated ML platforms typically dominate the conversation. However, database professionals and backend developers often wonder: can you leverage MySQL, one of the world’s most popular relational databases, for machine learning tasks? The answer is nuanced but increasingly promising.…

As MySQL’s community-driven fork continues to evolve, MariaDB is charting its own path with innovations that increasingly differentiate it from its Oracle-owned counterpart. For backend engineers looking to stay ahead of database technology trends, here are the key MariaDB developments worth monitoring. ColumnStore and Analytics Evolution MariaDB’s ColumnStore engine represents one of the most significant…

MySQL 8.0 represents a significant leap forward for the popular database management system, introducing numerous features that backend developers can leverage to build more efficient, secure, and powerful applications. Let’s explore the most impactful innovations: Window Functions MySQL 8.0 finally brings window functions to the table, allowing developers to perform calculations across rows related to…

In the competitive landscape of technology, database performance can make or break a company’s service quality. Tech giants like Facebook, Uber, Slack, and Shopify rely heavily on MySQL and MariaDB as core components of their infrastructure, despite the rise of NoSQL alternatives. Let’s explore the sophisticated strategies these companies employ to scale their relational databases…

Few situations strike more fear into a database administrator’s heart than a production deadlock. When your high-traffic e-commerce site suddenly grinds to a halt or your application’s response time spikes during peak hours, chances are you’re facing a database deadlock. After resolving numerous MySQL deadlocks over the years, I’d like to share some hard-earned lessons…

In today’s competitive online marketplace, e-commerce platforms must deliver seamless customer experiences around the clock. Any downtime can result in lost sales, damaged reputation, and customer churn. This post explores how to build a high-availability MySQL backend for e-commerce systems that can handle heavy traffic while maintaining consistent uptime. Why High Availability Matters for E-Commerce…

Introduction Scaling a database system to handle more than one million transactions per second (TPS) presents significant challenges even for the most seasoned database architects. This case study examines how our team at GlobalTech Financial Services transformed our MariaDB implementation from a standard setup struggling with 10,000 TPS to a high-performance system capable of processing…

When our user base doubled in six months, our once-speedy MySQL database began to show signs of strain. Reports that previously generated in seconds were taking minutes to complete, and our customer dashboard was becoming frustratingly slow. This post shares our journey of diagnosing performance bottlenecks and implementing targeted optimizations that ultimately reduced our query…

While microservices architectures and MySQL may seem like odd companions at first glance, many organizations successfully integrate this traditional relational database with modern distributed application designs. This article explores proven patterns for effectively using MySQL in microservices environments, as well as anti-patterns to avoid. Understanding the Challenge Microservices architecture emphasizes: Traditional MySQL deployments often encourage:…