Google Drive is a cloud-based file storage and synchronization service that allows users to store files, sync them across multiple devices, and share them with others.
The core functionality includes uploading files to the cloud, downloading them from anywhere, keeping files in sync across devices, and collaborating with others through sharing.
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Users expect their files to be available reliably, synced quickly, and accessible from any device.
Popular Examples: Google Drive, Dropbox, Microsoft OneDrive, iCloud Drive, Box
What makes this problem fascinating from a system design perspective is the combination of challenges it presents. We need to handle files ranging from tiny text documents to multi-gigabyte videos, and we need to keep those files synchronized across devices in near real-time, even when some devices go offline.
We also need to ensure that files are never lost, even when hardware fails. And we need to do all of this at scale, for hundreds of millions of users with petabytes of data.
This system design problem touches on so many fundamental concepts: chunked uploads for large files, content-addressable storage for deduplication, real-time synchronization protocols, and conflict resolution strategies. Despite appearing straightforward to users, there are meaningful trade-offs to discuss at every layer of the design.
In this article, we will explore the high-level design of a cloud file storage system like Google Drive.
Let's start by clarifying the requirements: