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We clarify what needs to be real-time and choose the right transport — full-duplex WebSockets for chat and collaboration, lighter Server-Sent Events for one-way live feeds. Picking the right tool avoids over-engineering a problem that a simpler approach solves.
We design how messages fan out across multiple servers from the start, usually with Redis pub/sub or a managed service, because a real-time system that works on one server often breaks on three. Connection limits and resource use are planned for your expected concurrency.
We implement the live features — messaging, presence, live updates — with clean event contracts between client and server. State is kept consistent so what one user does is reflected accurately and quickly for everyone else.
We handle the hard realities: dropped connections, reconnection with state recovery, message ordering, and offline queuing. This is where most real-time projects fail, so we test these paths explicitly rather than assuming the network is reliable.
For collaborative editing we implement conflict resolution — often with CRDTs or operational transforms — so simultaneous edits merge sensibly instead of overwriting each other. Users see a coherent shared state, not a race condition.
We load-test with realistic concurrent connections to find the breaking points before users do, then deploy with monitoring of connection counts, latency, and message throughput. Real-time systems need live observability because problems appear under load, not in a quiet demo.
We believe in radical transparency. You'll always know where your project stands and what comes next.
Progress reports every week
Communicate with your team
Clear deliverable checkpoints
Complete technical handoff
Let's begin with a conversation about your project goals.