Posted inPython
Mastering Memory Leak Detection in Python Using Memray
Stop letting the OOM Killer ruin your sleep. Learn how to use Memray to pinpoint memory-leaking code in Python with high efficiency and precision.
Posted inDevelopment
Handling 100,000 Rows of Data Smoothly in React with react-window
Learn how to handle lists with thousands of rows in React without browser lag. A guide to using react-window to optimize DOM nodes and boost rendering speed.
Posted inFedora
Mastering systemd-oomd on Fedora: Rescuing Your PC from RAM-Related Freezes
No more system freezes on Fedora by mastering systemd-oomd. A detailed guide on configuring PSI, Swap limits, and protecting critical apps during RAM exhaustion.
Posted inMySQL
Implementing Soft Delete in MySQL: Don’t Let Unique Constraints and Indexes Slow You Down
Soft Delete is more than just adding a Boolean column. Discover how to handle Unique Constraints using Virtual Columns and optimize indexes for large databases based on real-world experience.
Posted inMySQL
Is MySQL COUNT(*) Slow? Don’t Let Your Dashboard Freeze When Data Hits Millions of Rows
Why does MySQL COUNT(*) slow down on large InnoDB datasets? This article analyzes the impact of MVCC and provides 4 optimization techniques using Counter Tables, Metadata, and Redis.
Posted inPython
Mastering Python functools: Writing Better, Faster Code
Stop letting your Python code lag due to redundant calculations. Discover how to use lru_cache, singledispatch, and partial in the functools library to optimize performance and clean up your code today.
Posted inGit
Guide to Using git-sizer: “Rescuing” Bloated and Sluggish Git Repositories
Is a bloated Git repo slowing down your team? Learn how to use git-sizer to find junk files, massive blobs, and the most effective ways to optimize Git history.
Posted inMySQL
Optimizing MySQL Storage: Choosing the Right Data Types to Speed Up I/O and Save RAM
Choosing the wrong MySQL data types causes unnecessarily bloated databases, high I/O, and wasted RAM. This article shares real-world experience from a 50GB production database: how to choose correctly between INT/BIGINT, VARCHAR/TEXT, ENUM, and TIMESTAMP to optimize performance right from schema design.
Posted inDocker
Professional Production Dockerization for Laravel: Multi-stage Build, Worker, and Scheduler
Learn how to professionally Dockerize Laravel using Multi-stage builds. Isolate PHP-FPM, Nginx, Worker, and Scheduler to optimize performance and image size for production.
Posted inPython
Optimizing Python RAM with __slots__: Secrets to Handling Millions of Objects Without Memory Overflow
Struggling with Python's high RAM usage? Discover how to use __slots__ to save up to 70% memory when handling large datasets. Practical techniques to keep your application running smoothly with millions of objects.