Real-Time
Applications

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.