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Database Optimization

MySQL MariaDB PostgreSQL MongoDB Redis Laravel Node.js

Faster pages and reports, starting with the queries behind them

Database Optimization

When pages, reports or searches slow down as your data grows, the cause is usually a small number of queries: a missing index, a report that reads a whole table, or code that runs one query per row instead of one for the list. We measure where the time goes, fix the queries, indexes and schema behind it, and add caching where the same data is read again and again. We work with MySQL, PostgreSQL and MongoDB, and with the Laravel or Node.js code that sends the queries, since that is often where the fix belongs.

25+
Projects delivered
5+
Years of experience
10+
Direct clients
100%
Source code owned by you

What We Deliver

What's included in Database Optimization.

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Slow query review

We turn on the slow query log or its equivalent, rank queries by the total time they take, and start with the worst.

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Indexes

Indexes added, merged or removed based on how your data is actually read, without slowing inserts and updates more than needed.

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Schema fixes

Better column types, missing keys and, for very large tables, partitioning, with migrations tested on a copy first.

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Caching

Redis caching for data that is read often and changes rarely, and read replicas when one database server is no longer enough.

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Server settings

Memory, connection and cache settings matched to your workload on a VPS or managed cloud database. On shared hosting, where these are fixed, we focus on queries and indexes.

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Monitoring

Alerts on slow queries, locks and disk space, so a new slowdown is noticed early.

Our Process

How the work runs, step by step.

1

Measure

We record how long the slow pages, reports and queries take today, so there is a baseline to compare against.

2

Find the cause

Query plans, the slow query log and the application code show which queries, indexes or tables are behind the delay.

3

Fix on a copy

Changes are made and tested on a copy of the database with realistic data before they reach the live server.

4

Release

We apply the changes at a quiet time, with a backup and a way to roll back ready.

5

Measure again

We compare the new timings with the baseline, write down what was changed, and set up alerts for future slowdowns.

Frequently Asked Questions

Common questions about Database Optimization.

It depends on the cause. A missing index on a large table can make one query many times faster, while a server that is simply too small gains less from tuning. We measure before and after, so you see the actual difference on your own data.

Most changes, such as new indexes and query rewrites, can be applied while the site is running. Changes to large tables can lock them for a while, so we test them on a copy first and schedule them with you for a quiet time.

Sometimes, but it is worth checking the queries first. A bigger server costs more every month, while a fixed query stays fixed. If your data has genuinely outgrown the server, we will tell you.

MySQL, MariaDB, PostgreSQL, MongoDB and Redis. Many slowdowns start in the application code that builds the queries, so we work on the Laravel or Node.js side as well.

Access to the database, ideally a copy or a read-only login to begin with, plus a list of the pages or reports that feel slow and when they are slowest.

Is your site or software slowing down?

Tell us which pages or reports are slow and roughly how much data you have, and we will suggest where to start.

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