WebSockets Development Service
Senior engineers building real-time WebSocket backends with proper reconnection, presence, and horizontal scaling via Redis.
Why Most WebSocket Apps Fall Apart in Production
WebSockets seem simple until you ship them. A "hello world" WebSocket server runs on any platform. A WebSocket server that survives Wi-Fi drops, scales horizontally, and broadcasts to 10,000 clients without melting is a different project. Most teams underestimate the difference and ship the simple version, then discover the gap in week three of production traffic.
Reconnection logic is non-negotiable. Mobile clients lose connectivity constantly. Browser tabs go to sleep. CDN proxies disconnect idle connections. The server needs to handle reconnects gracefully — resume from a sequence number, replay missed messages, deduplicate. Without this, every train tunnel costs you data.
Horizontal scaling is the next wall. A single WebSocket server holds connections in memory. When you scale to N servers, broadcasts need to fan out across servers. Redis Pub/Sub is the standard answer; NATS, Kafka, and centrifugo are alternatives. Each has different delivery guarantees and operational costs.
Presence (who is online, who is typing) is harder than it sounds. With one server, in-memory state works. With multiple servers, presence needs to be coordinated — usually via Redis with TTLs. Stale presence (the user crashed, the connection died silently) is the bug that always ships.
AsyncForge has senior real-time engineers shipping production WebSocket services. Submit chat backends, live dashboards, collaborative editors, presence systems, or a full real-time stack. Light 4 days, Standard 48 hours, Pro 1 day.
What You Get
Reconnect + replay
Sequence-numbered messages, server-side retention buffer, client reconnect with last-seen-id resume. No lost messages across drops.
Horizontal scaling
Multiple WebSocket servers behind a sticky-session load balancer. Cross-server broadcasts via Redis Pub/Sub or NATS.
Presence
Who is online, who is typing, who is editing. TTL-backed presence in Redis with heartbeat-driven freshness.
Auth + rate limiting
Token-based auth at connection open. Per-connection and per-channel rate limits. Disconnects with reason codes.
Backpressure
Slow clients do not stall the server. Per-connection send queues with overflow eviction, graceful degradation.
Observability
Connection counts, message throughput, p50/p99 latency, dropped-message counts — exposed as Prometheus metrics and dashboarded.
Technologies We Use
How It Works With AsyncForge
Subscribe
Plan picked.
Submit real-time work
Chat, dashboards, presence, full backends.
We deliver
Production-grade with reconnects, scaling, observability.
Iterate
Unlimited revisions.
Frequently Asked Questions
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How AsyncForge Works
From signup to shipped code in four simple steps.