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Data Infrastructure at LinkedIn
Shirshanka Das describes LinkedIn’s Big Data Infrastructure and its evolution through the years, including details on the motivation and architecture of Gobblin, Pinot and WhereHows.
By LinkedIn engineers · LinkedIn · Added 2026-10-12
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What you are about to study
LinkedIn explains a real system. You should know the basics: caching, queues and replication.
Ideas you will meet
- Machine Learning Systems
- Recommendations, ranking, feature stores and serving models at scale.
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 minChat applicationUsers, conversations and messages: delivery states, group chats and notifying clients, modelled as classes rather than infrastructure.Read here
The problem
Users send text messages one-to-one or in groups. The app shows who is online, message status (sent, delivered, read) and notifies offline users. This lesson is about the classes; the infrastructure view (WebSockets, storage at scale) is in the chat-system lesson of the classic designs course.
Entities
100%Figure SDA-LLD-14-1 · Chat classes · © forcsguy.com
A conversation has a type (direct or group) and participants. A message belongs to one conversation and has one receipt per recipient.
Sending a message
100%Figure SDA-LLD-14-2 · Sending a message · © forcsguy.com
type Status = "SENT" | "DELIVERED" | "READ"; class Conversation { private subscribers = new Map<string, (m: Message) => void>(); constructor(readonly id: string, readonly members: string[]) {} subscribe(userId: string, fn: (m: Message) => void) { this.subscribers.set(userId, fn); return () => this.subscribers.delete(userId); } send(from: string, text: string): Message { if (!this.members.includes(from)) throw new Error("not a member"); const m = new Message(newId(), this.id, from, text); m.receipts = Object.fromEntries(this.members.filter(u => u !== from).map(u => [u, "SENT" as Status])); store.save(m); // persist first for (const [u, fn] of this.subscribers) if (u !== from) fn(m); // push to online users return m; // offline users get it when they reconnect, or by push notification } }Offline users and ordering
- Offline users receive messages on reconnect by asking for everything after the last message id they have, and may get a push notification.
- Order within a conversation comes from a server-assigned, increasing message id.
- Read receipts are updates to the per-recipient receipt, then aggregated for the sender (in a group, "read by 3 of 5").
Design notes
- Observer decouples the conversation from how clients are connected.
- Group size matters: a small group can notify each member directly; very large channels need a different fan-out approach.
- Presence (online, last seen) is a separate component with its own throttled updates.
- Privacy: block lists, muted conversations, and "delete for everyone" are policies checked before delivery.
- Extensions: media messages (store files elsewhere, send a reference), replies, reactions, end-to-end encryption.
Real-world reading
Related reading
- RFC 6455: The WebSocket ProtocolIETFDocumentation
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