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Use Cases/Build a Real-Time Collaboration Backend with Message Queues and WebSockets

Build a Real-Time Collaboration Backend with Message Queues and WebSockets

Build a real-time collaborative document editor backend using Centrifugo for WebSocket connections, RabbitMQ (amqplib) for reliable event processing, Redis OM for fast document storage and search, and Effect for type-safe business logic — creating a system where multiple users edit simultaneously with presence awareness, conflict-free sync, and reliable event delivery.

Development#websocket#realtime#pubsub#messaging#centrifugo
Works with:claude-codeopenai-codexgemini-clicursor

Skills stack · 4 skills

Avg quality 92/100·All SAFE
>

centrifugo

v1.1.0

Centrifugo is a self-hosted real-time messaging server: your backend publishes over an HTTP or gRPC API and browsers or mobile apps receive messages over WebSocket, SSE or HTTP streaming. Use when the user wants chat, live notifications, presence ("who is online"), message history with recovery, or any WebSocket pub/sub without writing a socket server.

93/100 quality
1.29× impact
SAFE· stale score
View skill
>

amqplib

v1.1.0

amqplib is the Node.js client library for RabbitMQ and other AMQP 0-9-1 brokers. Use it to publish and consume messages from JavaScript or TypeScript: work queues, topic exchanges, dead-letter queues, publisher confirms, manual acknowledgments, prefetch limits and automatic reconnection. Use when someone asks to "connect Node.js to RabbitMQ", "send messages to a queue from Node", "consume RabbitMQ messages in TypeScript", "retry failed jobs with a dead-letter queue" or "reconnect amqplib after the broker restarts". Covers amqplib 2.x.

83/100 quality
6.00× impact
SAFE· stale score
View skill
>

redis-om

v1.1.0

Redis OM maps JavaScript or Python objects to Redis JSON documents or hashes and builds RediSearch indexes from the schema, so you can save, fetch and search entities without raw Redis commands. Use when you need to model data in Redis as a primary database, add full-text, tag, numeric or geo search to Redis data, or set up redis-om in Node.js (TypeScript) or Python (FastAPI, Pydantic).

93/100 quality
4.00× impact
SAFE· stale score
View skill
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effect-ts

v1.1.0

Effect is a TypeScript library for typed errors, dependency injection, structured concurrency, retries, streams and schema validation. Use when someone asks to "handle errors without try-catch", "type-safe error handling in TypeScript", "dependency injection without classes", "retry with backoff", "concurrent TypeScript", "Effect library" or "replace Promise chains with typed effects". Targets Effect 4.x and notes the changes from 3.x.

100/100 quality
10.00× impact
SAFE· stale score
View skill
$

Kira is building a collaborative workspace app (think Notion-lite) for small teams. Users need to see each other's edits in real-time, know who's viewing what, and never lose data even during server restarts. The system needs to handle 500 concurrent users editing 100+ documents simultaneously, with reliable notifications when someone is mentioned or assigned a task.

Step 1: Document Storage with Redis OM

typescript
// models/document.ts — Fast document storage with full-text search
import { Client, Schema, Repository } from "redis-om";

const client = await new Client().open(process.env.REDIS_URL);

const documentSchema = new Schema("document", {
  title: { type: "text" },                // Full-text searchable
  content: { type: "string" },            // JSON string of document tree
  workspaceId: { type: "string" },
  createdBy: { type: "string" },
  lastEditedBy: { type: "string" },
  updatedAt: { type: "date", sortable: true },
  tags: { type: "string[]" },
});

const docRepo = new Repository(documentSchema, client);
await docRepo.createIndex();

// Save document with sub-millisecond latency
async function saveDocument(docId: string, content: any, editedBy: string) {
  await docRepo.save(docId, {
    ...await docRepo.fetch(docId),
    content: JSON.stringify(content),
    lastEditedBy: editedBy,
    updatedAt: new Date(),
  });
}

// Search across all documents
async function searchDocuments(workspaceId: string, query: string) {
  return docRepo.search()
    .where("workspaceId").eq(workspaceId)
    .and("title").matches(query)
    .sortBy("updatedAt", "DESC")
    .page(0, 20)
    .return.all();
}

Step 2: Real-Time Sync via Centrifugo

typescript
// services/realtime.ts — WebSocket connections for live editing
import jwt from "jsonwebtoken";

// Generate Centrifugo token for authenticated user
function generateRealtimeToken(userId: string, workspaceId: string) {
  return jwt.sign(
    {
      sub: userId,
      channels: [`doc:${workspaceId}:*`],  // Can subscribe to any doc in workspace
    },
    process.env.CENTRIFUGO_SECRET!,
    { expiresIn: "24h" },
  );
}

// Publish edit operation to all viewers
async function broadcastEdit(docId: string, operation: EditOperation) {
  await fetch(`${process.env.CENTRIFUGO_URL}/api/publish`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `apikey ${process.env.CENTRIFUGO_API_KEY}`,
    },
    body: JSON.stringify({
      channel: `doc:${operation.workspaceId}:${docId}`,
      data: {
        type: "edit",
        userId: operation.userId,
        operations: operation.ops,          // OT or CRDT operations
        version: operation.version,
        timestamp: Date.now(),
      },
    }),
  });
}

// Broadcast cursor position
async function broadcastCursor(docId: string, workspaceId: string, userId: string, cursor: CursorPosition) {
  await fetch(`${process.env.CENTRIFUGO_URL}/api/publish`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `apikey ${process.env.CENTRIFUGO_API_KEY}`,
    },
    body: JSON.stringify({
      channel: `doc:${workspaceId}:${docId}`,
      data: { type: "cursor", userId, position: cursor },
    }),
  });
}

Step 3: Reliable Event Processing with RabbitMQ

typescript
// services/events.ts — Reliable async processing via message queue
import amqp from "amqplib";

async function setupEventProcessing() {
  const connection = await amqp.connect(process.env.RABBITMQ_URL!);
  const channel = await connection.createChannel();

  // Document events queue
  await channel.assertExchange("doc-events", "topic", { durable: true });
  await channel.assertQueue("doc-notifications", {
    durable: true,
    arguments: { "x-dead-letter-exchange": "dlx" },
  });
  await channel.bindQueue("doc-notifications", "doc-events", "doc.mention.*");
  await channel.bindQueue("doc-notifications", "doc-events", "doc.assign.*");

  // Process notifications reliably
  await channel.prefetch(10);
  channel.consume("doc-notifications", async (msg) => {
    if (!msg) return;
    try {
      const event = JSON.parse(msg.content.toString());
      if (msg.fields.routingKey.startsWith("doc.mention")) {
        await sendMentionNotification(event);        // Email + push
        await broadcastNotification(event.userId, {  // Real-time via Centrifugo
          type: "mention", docId: event.docId, mentionedBy: event.mentionedBy,
        });
      }
      channel.ack(msg);
    } catch (error) {
      channel.nack(msg, false, false);     // To DLX on failure
    }
  });
}

// Publish event when user mentions someone
async function publishMention(docId: string, mentionedBy: string, mentionedUser: string) {
  const channel = await getChannel();
  channel.publish("doc-events", `doc.mention.${mentionedUser}`,
    Buffer.from(JSON.stringify({ docId, mentionedBy, userId: mentionedUser, timestamp: Date.now() })),
    { persistent: true },
  );
}

Step 4: Type-Safe Business Logic with Effect

typescript
// services/document-service.ts — Type-safe operations with error handling
import { Effect, pipe } from "effect";

class DocumentNotFound extends Error { readonly _tag = "DocumentNotFound"; }
class PermissionDenied extends Error { readonly _tag = "PermissionDenied"; }
class ConcurrentEditConflict extends Error { readonly _tag = "ConcurrentEditConflict"; }

function editDocument(docId: string, userId: string, ops: EditOp[], version: number) {
  return Effect.gen(function* () {
    // Check document exists
    const doc = yield* Effect.tryPromise({
      try: () => docRepo.fetch(docId),
      catch: () => new DocumentNotFound(),
    });
    if (!doc) yield* Effect.fail(new DocumentNotFound());

    // Check permissions
    const hasAccess = yield* checkPermission(userId, docId, "edit");
    if (!hasAccess) yield* Effect.fail(new PermissionDenied());

    // Apply operations (with version check)
    const applied = yield* applyOperations(doc, ops, version);

    // Save + broadcast + queue notification (all must succeed)
    yield* Effect.all([
      Effect.tryPromise(() => saveDocument(docId, applied.content, userId)),
      Effect.tryPromise(() => broadcastEdit(docId, { workspaceId: doc.workspaceId, userId, ops, version: applied.version })),
      Effect.tryPromise(() => queueMentionEvents(docId, userId, ops)),
    ], { concurrency: 3 });

    return applied;
  });
}

// Handle errors at the API layer
const handleEdit = pipe(
  editDocument(docId, userId, ops, version),
  Effect.catchTags({
    DocumentNotFound: () => Effect.succeed({ status: 404, error: "Document not found" }),
    PermissionDenied: () => Effect.succeed({ status: 403, error: "No edit permission" }),
    ConcurrentEditConflict: () => Effect.succeed({ status: 409, error: "Version conflict, please retry" }),
  }),
);

Results

After 3 months in production with 200 active teams:

  • Latency: Edit operations broadcast in <50ms via Centrifugo WebSocket; users feel instant sync
  • Reliability: Zero lost edits; RabbitMQ ensures notification delivery even during deployments
  • Search: Full-text document search in <5ms via Redis OM; users find any doc instantly
  • Concurrent editing: 50+ simultaneous editors on a single document; cursor positions update in real-time
  • Notification delivery: 99.8% successful; dead-letter queue catches failures for retry
  • Type safety: Effect catches 12 potential error paths at compile time; zero uncaught exceptions in production
  • Scale: 500 concurrent WebSocket connections on a single Centrifugo instance; horizontal scaling ready

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