"Real-time features — live dashboards, chat, presence, collaborative editing, streaming updates — need infrastructure built to stay fast and consistent under concurrent load. Weblaud LLC engineers these systems with WebSockets, Redis Pub/Sub, and horizontally scalable cloud infrastructure (Docker, AWS) on a fixed 4–14 weeks sprint scope ($4,500 – $18,500), designed to hold up as your concurrency grows."
What We Engineer
Live, Bidirectional Updates
Dashboards, chat, presence, and notifications that update instantly for every connected user — built on WebSockets, not slow polling.
Scales With Concurrency
Redis Pub/Sub and a horizontally scalable architecture keep latency low as connected users climb into the tens of thousands.
Resilient by Design
Reconnection, backpressure, and message durability so a blip doesn't drop data or desync the UI under real-world conditions.
Cloud-Native Deployment
Dockerised services with CI/CD on AWS — reproducible, observable, and ready to scale on demand.
Frequently Asked Questions
How do you build a real-time feature like live chat or a live dashboard?
With a persistent WebSocket connection for bidirectional updates, a Redis Pub/Sub layer to broadcast events across server instances, and a horizontally scalable deployment so it holds up under concurrent users. Weblaud LLC engineers this end to end, including reconnection and message durability.
Can your real-time systems scale to many concurrent users?
Yes — the architecture is built to scale horizontally. By fanning events out through Redis Pub/Sub across multiple stateless nodes, the same design that serves hundreds of concurrent connections scales to tens of thousands.
What stack do you use for real-time infrastructure?
WebSockets for the live transport, Redis Pub/Sub for event fan-out, Node.js/Python services, and Docker on AWS with CI/CD for deployment and scaling.
Free discovery call
Tell us what you're building.
We'll come back within a day with a clear plan — no jargon, no lock-in, no pitch deck.
15-min session · No commitment · Response within 24 h