$1.5M Seed Funding
6 Month Timeline
Austin, TX Market
$8M Series A Secured
"The holiday season used to be terrifying for our tech team. After Developers.Dev rebuilt our backend on Python microservices, we had our smoothest and most profitable Black Friday ever. The site was fast, stable, and the team was incredible to work with."
Chloe Zhang, Head of E-commerce
A popular Australian online retailer specializing in fashion and accessories. Their monolithic PHP-based e-commerce platform was slow, difficult to update, and struggled to handle the traffic surges during peak shopping seasons like Black Friday, leading to lost sales and customer frustration.
The client's aging monolithic backend was a major liability. It was slow, causing high cart abandonment rates. Deploying new features was a risky, all-or-nothing affair. Most importantly, it couldn't scale to meet peak traffic demands, crashing during the most crucial sales periods.
The legacy system had slow database queries and inefficient code that impacted the entire site.
The monolithic architecture made it impossible to scale individual components (like checkout or search) independently.
The tightly coupled codebase meant that a small change could have unintended consequences, slowing down development.
The migration to a new backend had to be performed without disrupting sales on the live website.
We proposed a phased migration strategy using a managed "Python/Django Revamp Pod." The team consisted of three Python/Django developers, a QA Automation engineer, and a cloud architect.
We used the Strangler Fig pattern to gradually migrate functionality. We identified the most problematic services (checkout, payments, search) and rebuilt them first as independent Python microservices.
The new microservices were built with Django and FastAPI, containerized with Docker, and orchestrated with Kubernetes on AWS for auto-scaling.
An API gateway was set up to route traffic, sending requests to the new microservices when available and falling back to the old monolith for functionality not yet migrated.
The QA engineer built a full suite of automated regression tests to ensure that the new services behaved identically to the old ones, de-risking each phase of the migration.
Rebuilt the payment and checkout services. This was the highest-risk area and provided the biggest immediate performance win.
Migrated the product search functionality using Elasticsearch, dramatically improving search speed and relevance.
Rebuilt the order management and user account services.
Paused migration to ensure stability for the upcoming peak season. The hybrid system was already significantly faster.
The new, scalable architecture handled a 300% traffic spike without any downtime or performance degradation.
The remaining, less critical parts of the monolith were migrated, and the old system was finally decommissioned.
Average page load times were cut in half, leading to a 10% increase in conversion rates.
Zero downtime during the most critical sales period of the year.
The new microservices architecture allowed for independent deployments, reducing the time to launch new features from weeks to days.
The auto-scaling, containerized environment was more efficient, lowering monthly AWS bills by 15%.
Radically Vetted Talent
100% In-House Team
Enterprise-Grade Security
Mature, Predictable Processes
Seamless Team Integration
An Ecosystem of Experts
Total Peace of Mind
Deep Domain Expertise
Future-Ready Skills
Developers.Dev successfully executed a complex, high-stakes legacy modernization project with zero disruption to the client's business. By leveraging a modern Python stack and a meticulous migration strategy, we transformed their technology backend from a liability into a scalable, high-performance asset that directly drives revenue growth.
