When a monolith becomes a bottleneck, starting from scratch is not always the answer.

One of the hardest challenges in software development is modernizing a system that is already running at scale and has become critical to the business.

In this case, we worked with a platform processing millions of orders for a large restaurant network. As data volumes grew, performance issues started to appear: searching through order history could take 25–30 seconds.

The solution wasn’t a complete rewrite. Instead, we evolved the system step by step: optimized data processing, moved search capabilities to Elasticsearch, started breaking down the monolith, and built a more flexible architecture for future scaling.

The result: search response time dropped to 250–300 milliseconds, while the platform gained the foundation needed for further growth.

A good example of why legacy systems are not always something you need to replace. Sometimes, they are systems you need to evolve in the right direction.

More technical case studies and engineering stories:
https://evrone.com/