Does your application crash or stop responding when you try to generate a heavy report or process a large batch of invoices?
This is a silent yet devastating bottleneck for B2B SMBs and entrepreneurs. As your business grows, data volume increases exponentially. When relying on generic systems, the server tries to load and hydrate thousands of objects into memory simultaneously, causing RAM strangulation (Out of Memory errors) that crashes your production platform during critical moments, costing you thousands in lost sales and frustrated clients.
The Trap of Automatic Hydration
Inexperienced developers blindly trust standard object-relational mapping tools to speed up initial development. However, when executing massive background tasks, the ORM generates an object in memory for every single cell in your database, multiplying the actual data weight a hundredfold. Standard software sacrifices your server stability for the sake of coding convenience.
Our Solution: Asynchronous Data Streaming Architecture
At LANZA ESTUDIO, we solve this bottleneck by restructuring your data access layer at a deep level without requiring you to buy more expensive servers.
- Cursor-based processing and partial hydration: We read records row by row sequentially, keeping memory consumption completely flat regardless of the batch size.
- Transition to high-performance native queries: We eliminate ORM overhead in critical processes using optimized pipelines that travel directly to the database engine.
- Asynchronous stream-oriented architecture: We implement data streams that transmit information in real-time to the client instead of accumulating it on the server side.
- Efficient garbage collection management: We force the manual release of pointers and memory buffers right after processing each cluster block of data.
The Real Impact on Your Business Operations
- 90% reduction in memory consumption: Your server will process millions of rows using a minimal fraction of its current infrastructure resources.
- Total immunity against Out of Memory errors: Your platform will stay online and stable even during your highest peak billing cycles.
- Immediate savings on cloud infrastructure: Cancel expensive hosting RAM upgrades and optimize your overall operational margins.