Executive ComparisonUse Case · Real-Time

Real-Time & High-Load Infrastructure Engineering

Live dashboards, chat, presence, and streaming that stay fast under load — built on WebSockets and Redis.

Direct Answer

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.

Key AdvantagesWhy Founders Choose Us

What We Engineer

01

Live, Bidirectional Updates

Dashboards, chat, presence, and notifications that update instantly for every connected user — built on WebSockets, not slow polling.

02

Scales With Concurrency

Redis Pub/Sub and a horizontally scalable architecture keep latency low as connected users climb into the tens of thousands.

03

Resilient by Design

Reconnection, backpressure, and message durability so a blip doesn't drop data or desync the UI under real-world conditions.

04

Cloud-Native Deployment

Dockerised services with CI/CD on AWS — reproducible, observable, and ready to scale on demand.

Executive ClarityCommon Questions

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.

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