Which databases do you manage?

Our core work is with MySQL and PostgreSQL, including managed services on AWS and other common hosting platforms. We confirm the exact engine, version and access model during the initial review.

How long does database management work take?

The average delivery time for every service is 5–7 days from approved scope and receipt of the required content and access. The exact schedule is confirmed in the written proposal. Large data migrations or operations with a strict maintenance window are planned separately and never rushed to fit a marketing promise.

Can you optimise a slow production database without downtime?

Often, but not blindly. We begin with measurements and low-risk changes, then schedule any locking or structural operation around the workload with backups, rollback criteria and an agreed maintenance window if one is needed.

Do you provide ongoing monitoring after the initial work?

Yes. The initial engagement can hand over configured monitoring to your team or continue into an agreed management arrangement covering health checks, backups, capacity and incident support.

Strategy, design & engineering

Databases designed for safe growth, not emergency fixes

The database is where a product's promises become permanent.

Start this project

Written proposal
5–7 day average delivery
30 days support

Database control room

Live prototype

Strategy → design → build

See what is included

Cleaner schema and ownership rules
Faster high-impact queries
Controlled, reversible migrations
Backups proven through restore tests

What the work involves

Database Management, built around the result you need.

The database is where a product's promises become permanent. We design schemas, plan migrations, tune slow queries, secure access and make backups restorable so growth does not turn ordinary changes into risky operations. The work is documented for the developers and operators who will own it next.

Schema and data modelling

Tables, relationships, constraints and indexes reflect the business rules so correctness lives in the data layer, not only in application code.

Migration planning

Schema and data changes are staged, measured and reversible, with compatibility steps where the application cannot stop for a one-shot migration.

Query performance tuning

Execution plans, indexes, connection behaviour and expensive access patterns are measured before changes are made and verified afterwards.

Backup and recovery

Automated backups only count when they restore. We define retention, recovery objectives and a tested path back from common failure scenarios.

Access and data security

Least-privilege database roles, encrypted connections, secret handling and audit visibility protect production data from casual access.

Health monitoring

Capacity, slow queries, locks, replication, failed jobs and backup status become useful alerts before they become customer-facing incidents.

How it works

A visible path from first call to launch.

Every database management project moves through four clear stages. You see the work taking shape instead of waiting for a final reveal.

5–7 day average delivery

Delivery system / 04 stages

Stage 01
Inspect safely
We review schema, size, workload, slow-query evidence, backup state and access through the least invasive route available.
Stage 02
Prioritise the risk
Findings become a written plan separating correctness, availability and security issues from optional optimisation work.
Stage 03
Change with rollback
Approved migrations and tuning are tested away from production, then applied in controlled stages with backups and rollback criteria.
Stage 04
Verify and hand over
Performance, data integrity, backup status and monitoring are checked after the change, with a clear record for your team.

Written scope Progress demos Launch support

Deliverables

Everything lands in your hands.

Each item below is part of the working handover: organised files, account access, technical setup and documentation your team can use after launch.

7-day money-back guarantee

Cancel within 7 days of kickoff for a full refund of amounts paid.

Read the terms

Database health, schema and risk assessment

Entity relationship or schema documentation

Index and high-impact query optimisation plan

Versioned migration scripts with rollback instructions

Role, permission and production-access configuration

Automated backup schedule, retention policy and restore evidence

Monitoring for capacity, locks, slow queries and failed backups

Maintenance runbook and developer handover notes

Projects Delivered

Average Delivery

Happy Clients

Client Satisfaction

FAQ

Database Management questions, answered

Start your project

Show us where the data layer is slowing you down — we will make the next change safer than the last.

Send the rough version. We will help shape the scope, flag the unknowns and return with a written plan.