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Scaling the Hadoop Distributed File System at LinkedIn
LinkedIn runs its big data analytics on Hadoop. During the last five years, the analytics infrastructure has experienced tremendous growth, almost doubling every year in data size, compute workloads, and in all other dimensions. It recently reached two important milestones.
By LinkedIn engineers · LinkedIn · Added 2026-10-12
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Learn this case study
About 37 min left. Your work is saved as you go.
What you are about to study
LinkedIn explains a real system. You should know the basics: caching, queues and replication.
Ideas you will meet
- Distributed Systems
- Consensus, time, failure and the fundamentals of scale-out.
What we already know about this
Our own lessons on these ideas. Read them here before you start, so it makes sense.
Low-Level Design Practice · 10 minSocial feed (Instagram-style)Users, follows, posts and likes: a feed model with the Observer pattern for notifications and a strategy for ordering.Read here
The problem
Users follow each other, publish photo posts, like and comment, and see a home feed of posts from the accounts they follow. This lesson models the classes and rules. Scaling the feed (fan-out strategies) is covered in the news-feed lesson of the classic designs course.
Entities
100%Figure SDA-LLD-15-1 · Social feed classes · © forcsguy.com
Publishing and the feed
100%Figure SDA-LLD-15-2 · Publishing a post · © forcsguy.com
interface FeedStrategy { build(userId: string, limit: number): Post[] } const newestFirst: FeedStrategy = { build(userId, limit) { const followees = follows.acceptedFolloweesOf(userId); return posts.byAuthors(followees).filter(p => canView(userId, p)) .sort((a, b) => b.createdAt - a.createdAt).slice(0, limit); }, }; function canView(viewer: string, p: Post): boolean { // one place for visibility rules const author = users.get(p.authorId); return !author.isPrivate || author.id === viewer || follows.isAccepted(viewer, author.id); }Putting visibility in one function means the feed, profile and search all agree about who may see what.
Likes and comments
- A like is unique per
(user, post); enforce it with a uniqueness rule, not just a check, so double taps do not create two likes. - Keep a like count on the post for fast display and update it with each like or unlike, accepting that the count may briefly lag.
- Comments are ordered by time and can have a parent id for replies.
Design notes
- Pagination uses a cursor (the time or id of the last item) so new posts do not shift pages.
- Deleting a post must remove it from feeds and counts; a soft delete flag filtered at read time is the usual first step.
- Blocking and muting are visibility rules too.
- Extensions: stories with expiry, hashtags, tagging, search, and a ranking strategy that mixes recency with interest.
Real-world reading
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- A like is unique per
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