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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That’s a Wrap: MySQL Belgian Days and FOSDEM 2024
06 Feb 2024 -
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How to Use MySQL Shell to Create an InnoDB Cluster
MySQL 28 Jan 2024 -
010
How to Add a New MySQL Server Node to an InnoDB Cluster
MySQL 24 Jan 2024 -
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How to Execute a Switchover in InnoDB Cluster
22 Jan 2024 -
008
MySQL Brazil Meetup 2023 – Informações do Evento e Agenda
05 Oct 2023 -
007
[PT-BR] Rotacionando os logs de erro e consultas lentas do MySQL com logrotate
02 Oct 2023 -
006
How to Rotate MySQL Slow and Error Logs Using Logrotate
02 Oct 2023 -
005
Understanding and Creating a Deadlock in MySQL for Beginners
26 Sep 2023 -
004
Profiling MySQL using perf and Flame Graphs
26 Sep 2023 -
003
The Ins and Outs of innodb_flush_log_at_trx_commit
24 Sep 2023 -
002
How To Estimate Redo Log Capacity
21 Sep 2023 -
001
Rethinking the 80% InnoDB Buffer Pool Rule: Digging into Server RAM Allocation
21 Sep 2023