Django consulting

Keeping Django platforms reliable under real growth

We help UK scale-ups reduce risk and regain clarity in Django platforms that have become hard to change or rely on.

Book your Free 15 minute Consultation

Explore how a focused technical review of your existing Django platform can help you.

Download the RAPID Architecture Guide

Who we are

As co-creators of Django REST Framework, we have over 15 years’ experience supporting Django systems in production.

The reality many teams face

The platform still works, but every change feels risky.

Delivery slows as the codebase becomes harder to reason about.
Performance and reliability issues appear under load.
Early architectural decisions now limit progress.
The team spends more time managing risk than improving the product.

These are normal signs of growth. Left unchecked, they compound.

Django
Health Check

A focused technical review of your existing Django platform.

We assess how your application is structured, how it behaves under load, and how easy it is for your team to work with day to day. The goal is to surface where risk is building and where small, well-judged changes will have the greatest impact.

This is not a generic audit or a checklist. It is a practical assessment grounded in long experience of Django systems in production.

What you get

A clear view of the main architectural and operational risks
An assessment of how well the platform supports future growth
Practical recommendations, prioritised by impact and effort
Clarity on what matters now, and what can wait

When it’s most useful

Growth is exposing fragility in the platform
Performance or reliability issues are becoming more frequent
Delivery is slowing as the codebase becomes harder to change
You want a second opinion before making larger investments

RAPID Architecture Guide

For teams earlier in the decision-making process, the RAPID Architecture Guide provides a clear, practical framework for thinking about Django systems at scale. 

It covers common failure modes, architectural trade-offs, and the patterns that help platforms remain reliable as they grow.