ServiceWeb Challengers

Database engineeringfor faster, safer systems.

We design and improve relational data models, queries, indexes and migration paths so applications remain fast, understandable and safe as the amount of data and number of workflows increase.

Discuss your project All services
  • MySQL
  • Schema design
  • Query tuning
  • Migrations
Discuss your project
In plain terms

Performance problems often start in the data model long before they show up on screen.

A slow application is not always a server problem. Poor indexes, accidental N+1 queries, oversized tables and unclear relationships can make otherwise good code increasingly expensive to run.

We look at both schema and application behaviour: what the database stores, how the code asks for it, which reports need expensive aggregation, and which writes compete under load. The fix is often a combination rather than one magic index.

Changes are planned around data safety. Structural migrations, backfills and archival work are designed to be reversible where practical and tested against realistic data volumes before production.

  1. 01

    Schema designed around real business relationships

  2. 02

    Slow queries profiled before indexes are added

  3. 03

    Migration plans that protect production data

  4. 04

    Reporting and operational queries separated where needed

What we deliver

A data layer the application can grow on.

We can work on one bottleneck or take responsibility for the complete database improvement plan.

01

Schema & relationship design

Tables, keys, constraints and relationships designed around the domain and future reporting needs.

02

Query performance audit

Slow-query review, execution plans and application-level query analysis to identify the actual bottlenecks.

03

Index strategy

Indexes added deliberately for real query patterns without creating unnecessary write or storage cost.

04

Data migrations & backfills

Safe schema changes, bulk updates and backfills with rollback and verification steps.

05

Large-table strategy

Archival, partitioning, pagination and retention approaches for datasets that have outgrown simple patterns.

06

Database reliability

Backups, restore testing, access controls and operational checks for business-critical data.

How we work

Measure first, then change the smallest thing that solves the problem.

Database work is safest when performance evidence and data integrity guide every change.

  1. Profile

    Capture slow queries, data size, access patterns and application behaviour.

  2. Model

    Review schema relationships and identify structural issues that create repeated cost.

  3. Improve

    Apply indexes, query changes or migrations in controlled, testable steps.

  4. Verify

    Compare timings, resource use and data integrity after each material change.

Before you start

Bring evidence, not assumptions.

01 · Performance

Start with the slow journeys

The most useful inputs are the real pages, reports or background jobs that are slow in production.

  • Slow URLs or reports
  • Representative query timings
  • Database size and growth
  • Peak traffic or batch windows
02 · Change safety

Know the recovery path

Before structural work, confirm backups and restore procedures. A fast database is not an improvement if data safety gets weaker.

  • Verified backup
  • Restore procedure
  • Maintenance constraints
  • Data retention requirements
FAQ

Questions clients usually ask.

Straight answers about how this work is scoped, delivered and supported.

Ask something else
01Can you optimise MySQL without rewriting the application?

Often, yes. We first look for query, index and schema improvements that can be introduced safely before proposing wider code changes.

02Do you handle database migrations on live systems?

Yes. We plan structural changes and backfills around data volume, locking risk and rollback options, and test the sequence before production.

03Can you help with reporting queries that are slowing the main application?

Yes. We can optimise the query path, introduce cached or precomputed reporting data, or separate analytical work when that is justified.

04Do you work with AWS RDS?

Yes. We can review application queries alongside RDS sizing, monitoring, backups and operational configuration.

Start with a conversation

When the data layer slows down, the whole product feels it.

Tell us which workflows are slow, what database you are running and how large the data has become.

Slow applicationGrowing databaseSchema redesignMigration planning
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