Big O for MySQL: Why the Same Query Gets Slow at Scale
Big O for MySQL, explained visually: how O(1), O(log n), O(n), O(n log n), O(n²), and O(2ⁿ) decide whether your query stays fast as your data grows.
Instant Strapi Performance Without Changing Your Code
How to scale your Strapi data layer using a wire compatible caching proxy and what the results look like on 43,000 real…
Using PHP and Readyset for the First Time with MySQL
Speed up your PHP application without changing a single query. A few days ago I set out to answer a simple question:…
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Technical Analysis: Why 0.2ms Queries Can Still Result in Low QPS
Linux 29 Mar 2026 -
035
Determining the Correct innodb_buffer_pool_chunk_size
MySQL 28 Feb 2026 -
034
MySQL 8.4 Memory Limits: tmp_table_size vs. temptable_max_ram
MySQL 20 Nov 2025 -
033
Checking Your MySQL Server Before an Upgrade with MySQL Shell
MySQL 02 Nov 2025 -
032
My Impressions from Oracle AI World 2025 – MySQL, AI, and Its Open Source Future
MySQL 17 Oct 2025 -
031
Benchmarking MySQL Server With mysqlslap: Estimating Capacity, Not Absolute Limits
MySQL 25 Apr 2025 -
030
MySQL Brazil Meetup 2025 – Aniversário de 30 Anos!
MySQL 14 Apr 2025 -
029
Black Friday or Dark Friday? Depends If MySQL Stands the Rush
Linux 26 Nov 2024 -
028
How to Identify Processes Using Swap Memory on Linux
Linux 23 Nov 2024 -
027
Testing Dolphie For the First Time: Features and Feedback
MySQL 21 Nov 2024 -
026
Understanding MySQL DDL Space Requirements
MySQL 20 Nov 2024 -
025
Understanding Latency Through a 100m Race: From CPU to NVMe
Linux 14 Nov 2024