Overview
Our first customer came to us with a familiar problem: every new client sent data in a different format-new fields, new names, new structures. Engineers had to build new mappers, add custom transformations, update validations, and deploy fresh code for every onboarding.
Before FileFeed, they relied on Couchdrop for SFTP in the cloud. It handled transfers, but mapping, validation, transformation, and debugging still happened manually. They needed a platform that owned the entire flow.
The Challenge
- Every new customer required custom mapping in code
- Onboarding slowed down as they grew
- Debugging failed imports was manual and slow
- Couchdrop solved transfer, but not processing
The Solution: FileFeed
FileFeed replaced all manual work with one automated, reliable system that covered intake, validation, mapping, transformation, and delivery.
Automated FileFeeds
- automatic file intake from any source
- full validation on structure, fields, and values
- mapping and transformation applied consistently
- clean, consistent output delivered directly to their system
- no code updates or deployments required
Reprocessing & Search
- manually re-run any pipeline run when needed
- search across every file ever received
- see exactly when each employee or record was synced
Debugging became fast and simple-no more digging through logs or redeploying scripts.
The Results
- 🚀 Faster onboarding - no more writing mappers for every new customer.
- ⚙️ Less engineering overhead - mapping, validation, and transformation now run automatically.
- 🔍 Clear, fast debugging - reprocessing and search make troubleshooting painless.
- ☁️ One platform - SFTP, validation, mapping, transformation, and delivery all inside FileFeed.
Conclusion
Before FileFeed, the team maintained custom mapping logic, fixed broken imports, and relied on tools that only solved part of the problem. With FileFeed, they onboard new customers faster, with fewer errors, and without touching code. FileFeed replaced Couchdrop and all of their manual scripts-delivering a scalable, predictable way to handle every data source.
