MADEBYARIS
MySQL for PHP apps

MySQL database optimizationfor PHP apps that got slow

For teams whose PHP app gets slower as the tables grow: pages that hang, reports that time out, a database server stuck at full CPU. I’ve designed MySQL databases since my first backend job in 2013.

In 2014 I built PHP and MySQL web applications, and the databases behind them, at SEREWare.

What MySQL database optimization involves

MySQL database optimization means finding the queries that make your app slow and fixing them at the source. I read the slow query log, run EXPLAIN on the worst offenders, then add indexes, rewrite queries, or change the schema. In a PHP app the fix often sits in the code too, like a loop that runs one query per row.

If the database feeds a Next.js front end through an API, caching at the API layer helps as well. See PHP API development.

Signs of slow MySQL queries

Sounds like the database

  • Pages that were fast at launch now take seconds to load
  • Reports or exports time out once the date range grows
  • The database server runs at high CPU during normal traffic
  • A planned feature is awkward because of how the tables are laid out

Probably something else

  • The slow part is the front end, like large images or heavy scripts
  • You need a database administrator on call around the clock

What you get from PHP database design work

Slow queries found and fixed

Each fix targets a query from your own logs, so you can see which page got faster and why.

Indexes that match how you query

Indexes built for your real WHERE and JOIN clauses, without extra ones that slow down every write.

A schema ready for what is next

Schema changes and migrations that fit the features you plan, so new work stops needing workarounds.

Changes that are safe to apply

A backup before every change and migrations tested on a copy of your data first.

Databases and tools I use

MySQL
MariaDB
PostgreSQL
Redis
Slow query log
EXPLAIN
Eloquent
Doctrine

How the tuning runs

1

Measure

Turn on the slow query log and collect a baseline from real traffic.

2

Diagnose

Run EXPLAIN on the worst queries and trace them back to the PHP code.

3

Fix on a copy

Test indexes, rewrites, and schema changes against a copy of your data.

4

Roll out

Apply with a backup and a rollback path, then compare against the baseline.

MySQL optimization FAQ

How much does MySQL database optimization cost?+

It depends on the size of the database and how many queries are slow, so I scope each job separately. Send me your slow query log or a list of the slow pages. You get a scope and a quote before I change anything.

Do we need a new database, or can you fix the one we have?+

Almost always the one you have. Most slow MySQL setups need better indexes, rewritten queries, or a few schema changes. Moving to a different database is rarely the fix, and I will tell you plainly if yours is the exception.

Will the site go down while you change the database?+

Most index and query fixes run while the site stays online. Large table changes can lock writes, so I test them on a copy first, schedule them for a quiet hour, and keep a backup ready.

Is the fix in Laravel Eloquent or in raw SQL?+

Either. In Laravel I fix Eloquent code that loads too much, like missing eager loading. In plain PHP apps I tune the raw SQL directly. The aim is the same: fewer queries, and faster ones.

Who keeps the database fast after you finish?+

You get a short report on what was slow, what changed, and which queries to watch. Keep the slow query log on, and new problems show up early. I can check in again later if you want.

Pages getting slower every month?

Send me the slow pages or your slow query log. I’ll tell you where the time goes and what I’d fix first, before you commit to anything.