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Real-time & Messagingby SoftwareCrafting

Event-driven architectures, message queues, and live data pipelines for responsive applications by SoftwareCrafting.

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NDA-Protected
48hr Kick-off
7 Engineers
Founder-led Delivery
Real-time & Messaging Services

Delivery Time

2-5 weeks

Senior deliveryFounder-involved build team
From₹20,000

Service Overview

We build real time features that stay correct when connections drop, which is the part that separates a demo from a product. Chat, live dashboards, collaborative editing, presence, and notifications all look straightforward until you handle reconnection, message ordering, missed messages during a disconnect, and the same user on three devices. We choose the transport deliberately rather than reaching for WebSockets by default: server sent events where the server streams and the client mostly does normal requests, WebSockets where genuine bidirectional low latency communication is needed, and polling where simplicity and infrastructure compatibility matter more than efficiency. On the server side we design for horizontal scale from the start, since a single process holding connection state is a scaling ceiling you hit abruptly. That means a pub/sub backbone, sticky routing or a stateless design, presence tracking that survives a process restart, and message persistence so a client that was offline can catch up rather than silently missing events.

Technologies we use

KafkaRabbitMQBullMQFirebasePusherSSESocket.io

Key Features

  • Kafka event streaming pipelines
  • RabbitMQ message queue setup
  • BullMQ background job processing
  • WebSocket real-time push with Socket.io
  • Server-Sent Events (SSE) for live feeds
  • Firebase Realtime Database / Firestore sync
  • Dead-letter queue & retry strategies
  • Horizontal scaling of consumers
  • Transport chosen deliberately across WebSockets, server sent events, and polling
  • Reconnection with backoff and catch up of messages missed while offline
  • Message ordering and deduplication guarantees
  • Horizontal scaling with a pub/sub backbone rather than in process state
  • Presence tracking that survives process restarts and multi device users
  • Message persistence and history with pagination
  • Optimistic updates with reconciliation against server state
  • Load testing at realistic concurrent connection counts

Pricing Snapshot

₹20,000

Starting from ₹20,000 for real-time system design and integration

  • Model: project
  • Timeline: 2-5 weeks
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Step-by-step

Our Delivery Process

We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.

01

Event and latency mapping

We identify which product events must be instant, which can be queued, expected traffic patterns, ordering needs, fan-out, and delivery guarantees.

2-4 days
02

Messaging architecture

We choose WebSockets, SSE, Kafka, RabbitMQ, BullMQ, Firebase, or Pusher, then design topics, queues, retries, scaling, and observability.

3-5 days
03

Implementation and integration

We implement live APIs, background workers, event persistence, reconnection states, dead-letter queues, and user-facing real-time UI.

1-3 weeks
04

Load testing and monitoring

We validate throughput, reconnection behavior, message loss, queue depth, worker scaling, and alerting before launch.

2-5 days
Why Us

Why Choose SoftwareCrafting?

  • Live user experiences without constant polling
  • Reliable event delivery for queues, notifications, and workflows
  • Systems that handle traffic spikes without dropping messages
  • Better separation between product services through events
  • Clear monitoring for queue depth, failures, retries, and latency
  • Room to scale from simple WebSockets to event streaming when needed
  • Real time features that survive dropped connections
  • Clients that catch up after a disconnect instead of missing events
  • Scaling past a single process without a rewrite
  • Presence that is accurate across multiple devices
  • Transport chosen for the use case rather than out of habit
FAQ

Frequently Asked Questions

Should we use WebSockets or server-sent events?

Use WebSockets when the client and server both need to send frequent messages, such as chat or collaboration. SSE is simpler for one-way live updates like dashboards, status feeds, and notifications.

Should I use Kafka or RabbitMQ?

Kafka is strong for high-throughput event streams, replay, audit logs, and analytics. RabbitMQ is usually better for task queues, routing, and work that needs explicit acknowledgement.

Can you add real-time features to an existing app?

Yes. We can introduce Socket.io, SSE, Firebase, Pusher, or a queue-based worker layer without rewriting your whole backend.

How do you prevent lost messages?

We use acknowledgements, durable queues, event logs, retries, idempotent consumers, dead-letter queues, and monitoring so failures are visible and recoverable.

WebSockets, server sent events, or polling?

Server sent events when the server streams updates and the client mostly sends ordinary HTTP requests, which covers dashboards, notifications, and progress indicators, and it is simpler to operate. WebSockets when both sides need low latency bidirectional communication, such as chat, collaboration, and multiplayer. Polling when update frequency is low or infrastructure compatibility matters more than efficiency. Many products use more than one.

What happens when a user loses connection?

The client reconnects with exponential backoff and requests everything it missed since its last acknowledged message, so nothing is silently dropped. This requires the server to persist messages and track per client position. Implementations that skip it appear to work in testing and lose messages in production on mobile networks.

How many concurrent connections can this handle?

That depends on message rate and per connection state more than raw connection count. The architectural point is that connection state must not live in a single process, otherwise your ceiling is one machine. With a pub/sub backbone and stateless connection handling, capacity scales horizontally. We load test at your expected concurrency rather than quoting a theoretical number.

Should we build this or use a managed service?

Managed services such as Pusher, Ably, or Supabase Realtime are a good fit when your requirements are standard and per connection pricing works at your scale. Building is justified when you need custom message semantics, have strict data residency requirements, or reach a scale where per connection pricing dominates. We compare both with your numbers before deciding.
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