Technology · MySQL
MySQL databases
designed, not defaulted.
Relational foundations done right: schema design, query tuning and replication for applications whose data must stay consistent.
open-sourcing relational power since
open-source database worldwide
transactions via InnoDB
replication & clustering options
Why MySQL
Your data deserves
more than defaults.
Applications slow down gradually, then suddenly, usually because of schema shortcuts taken in week one. We design tables around access patterns from the start, index them deliberately, and keep query plans visible so growth degrades gracefully instead of collapsing.
- Schema-first design
- Query plan analysis
- Index strategy reviews
- Replication & backups
- Migration versioning
- Slow-query hunting
What we build
Six ways we build
with MySQL.
Each engagement shaped around your goals rather than a fixed package.
Schema design
Normalised where integrity matters, denormalised deliberately where reads demand.
ModellingQuery optimisation
EXPLAIN-driven tuning turning second-long queries into milliseconds.
SpeedMigration management
Versioned schema changes deploying safely alongside code.
MigrationsBackup architecture
Restores rehearsed regularly, because untested backups are wishes.
RecoveryReplication setups
Read replicas and failover configured for scale and resilience.
ScaleHealth audits
Slow logs, locking and index waste reviewed with prioritised fixes.
AuditTuning mindset
Measure first,
index second.
Every index speeds some reads and taxes writes. We add them based on observed query plans, not superstition, and remove the zombie ones nobody remembers creating. Slow-query logs drive the roadmap.
The ecosystem
An ecosystem of
operational tooling.
Decades of maturity mean every operational question has been answered somewhere already.
Our process
Access patterns
before table names.
Design conversations start with questions the database must answer, fast.
Question inventory
Reports, screens and APIs listed as concrete query shapes.
Step 01Modelling
ERDs reviewed against growth projections, constraints declared.
Step 02Implement & seed
Migrations written with realistic volumes for honest testing.
Step 03Benchmark
Representative loads replayed; plans adjusted before go-live.
Step 04Durability
Backups that
actually restore.
Database disaster stories almost always share one line: nobody tested the restore.
Tested restores
Recovery drilled on schedule, evidence kept.
Point-in-time logs
Binlog retention sized to real RPO targets.
Least privilege
Application accounts scoped tightly per service.
FAQ
Common questions.
MySQL or Postgres for a new project?
Both excellent. Ecosystem familiarity, hosting and specific features tip the scales; we decide case by case.
Our site slows at peak times. Why?
Usually missing indexes, lock contention or connection exhaustion; profiling identifies which precisely.
Can you migrate us to MySQL?
Yes, including schema translation, data movement and validation reporting.
How large can MySQL scale?
Further than most products ever need, especially once read replicas enter the picture.
Do you manage existing servers?
Yes, health audits and ongoing care plans cover operational stewardship.
Is our data backed up enough?
If restores have never been rehearsed, probably not. We fix that first.
