ufile.io: file-sharing at scale, refined and optimised.
I joined an established high-volume file-sharing platform to fix critical production issues, optimise database performance and implement chunked uploads with pause and resume for large-file transfers.
Speed, reliability and cost at scale.
ufile.io serves a category where users expect large files to upload quickly and downloads to keep working without interruption. At this scale, infrastructure and storage costs become part of the product.
Build improvements users actually wanted.
Improve large-file upload and download paths.
Optimise infrastructure and storage at scale.
Roll out changes without disrupting millions.
What the platform has to get right.
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Large-file uploads
The path users judge the whole product by.
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Downloads at scale
Hundreds of millions of downloads that have to keep working uninterrupted.
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Registered accounts
A registered user base of more than a million people.
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Storage & infrastructure cost
At this volume, what it costs to move and keep files is part of the product.
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Always-on production
A live platform millions of people rely on while changes are shipped into it.
Stabilise, optimise and extend.
I joined an established production system to fix what was breaking, make it faster and add the features it still needed. I did not build ufile.io from scratch.
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Critical production fixes
Diagnosed and fixed issues on a platform that was already serving millions of users.
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Chunked uploads with pause & resume
Implemented chunked uploads with pause and resume so a large transfer can survive an interruption.
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Query & indexing work
Optimised indexing and queries to keep the application responsive as tables and traffic grew.
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Storage efficiency
Optimised storage and infrastructure usage so a high-volume service stayed cheaper to run.
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Safe production delivery
Shipped the work into a live system without disrupting the users already there.
Read Chunked uploads and production performance on a file platform for the engineering detail.
Efficiency compounds at this scale.
A file host lives or dies on how efficiently it moves and stores data. The work focused on making large transfers resilient, keeping queries fast as tables and traffic grew, and reducing operational cost without compromising the experience of a platform already serving millions of users.
Have an existing product that needs fixing or scaling?
Let's talk about performance, reliability and the next features you need to ship.