Memomeister

Also, the application was meant to work in real time, and specific data processing rules were in place. So, we implemented a system of workers that processed files after successful uploading. Some workers called third-party services, while others used databases to check changes in folders and update the document or folder state.

Among others, we implemented an automated document recognition. When a document was uploaded, keywords, data formats, or other characteristics were analyzed to define the document type and assign it to the corresponding user or user group. This, in turn, necessitated the development of a complex ACL that considered permissions for user groups and individual users. There were both default permissions and permissions granted on the condition certain criteria were met. We put a lot of effort into implementing this sophisticated logic.

Consequently, our team developed and released a stable, scalable, efficient, and user-friendly document management solution that continues to evolve.