Infrastructure

Queries slow down as data grows.The database is the bottleneck

The database that ran smoothly with 10,000 records now struggles with 10 million. Queries are slow, locks are frequent, and every fix is a sticking plaster.

Signs you'll recognise

If more than one sounds familiar, it isn't a coincidence — it's a pattern.

Response times for key queries keep getting longer
Reports and aggregations lock up the production database
The database's largest index takes up more space than the table itself
Locks and deadlocks are frequent under load
The schema has grown organically, and no one has ever rethought it

The database underpins everything. When it slows down, the whole system slows down with it.

Why it happens

Databases are often designed for the initial scale and then grow organically. Queries that worked fine with a handful of records become unsustainable at real-world volumes.

The schema evolves without governance: new columns, new tables, new indexes. No one holds the full picture, and fixes stay one-off rather than structural.

The answer isn't always a new database — often it's rethinking how you use the one you have: query optimisation, read replicas, caching, CQRS, or breaking up the schema.

In some cases, what's needed is a change of paradigm: moving from a single relational database to a polyglot persistence strategy, with the right database for each use case.

How we step in

We work inside your organisation, not from the outside. Change happens in the code and in the teams.

01

Database assessment

We analyse queries, indexes, schema, locks and access patterns, and identify the root causes of the performance problems.

02

Query optimisation

We optimise the queries with the biggest impact: rewrites, targeted indexes, materialisation. High-impact quick wins.

03

Architectural evolution

We introduce read replicas, caching, CQRS or schema decomposition where needed. The database stops being a single point of failure.

04

Monitoring and governance

We put in place query monitoring, alerting on performance degradation, and a review process for migrations.

What changes afterwards

Faster queries

Response times stay acceptable even at high volumes.

A resilient system

Reports no longer lock up the production database.

Predictable scaling

The persistence strategy holds up against the next few years of growth.

Schema governance

Migrations are controlled, and their impact is predictable.

Do you recognise these signs in your organisation?

Tell us where you're stuck

A fragile prototype, a burdensome legacy codebase or unpredictable delivery: that's where we start

We use your data to respond to your request. Read our Privacy Policy.