Real-Time Systems Development
Backend systems built for live data, WebSockets, and instant updates, so your product reacts the moment something changes instead of making users refresh.
Real-Time Systems Development
- req/s, zero deadlocks
- 15Kreq/s, zero deadlocks
- double-charges in production
- 0double-charges in production
- production systems shipped
- 10+production systems shipped
- years building for clients
- 7+years building for clients
Signs you need this now.
Real-time features look simple in a demo and fall apart under real concurrency: dropped connections, out-of-order messages, and state that drifts between clients. Most teams bolt WebSockets onto a request-response backend that was never designed to hold persistent connections or broadcast state changes reliably. Getting it right requires a different architecture, not just a new library.
Live updates work in testing and break under real users
The demo looked flawless with two browser tabs open, but with a few hundred concurrent connections, messages arrive late, out of order, or not at all. Nobody can reproduce the issue reliably, which makes it nearly impossible to fix with confidence.
Reconnect logic is an afterthought
When a user's connection drops, whether from a phone going into a tunnel or a laptop closing, the client either shows stale data or throws an error, with no clean way to resync state. Support tickets pile up with reports of a screen that just froze.
Scaling WebSockets past one server broke everything
The first version worked fine on a single instance, but the moment traffic required a second server, messages stopped reaching clients connected to a different node. The team is now stuck either limiting to one server or rearchitecting under pressure.
What you get.
WebSocket or SSE infrastructure built for your actual use case
The right transport chosen and implemented for what you're building, whether that's bidirectional chat, live dashboards, or one-way status streams, instead of a one-size-fits-all setup.
Pub/sub layer for multi-server broadcasting
Redis or a message broker wired in so real-time events reach every connected client regardless of which server instance they're connected to, removing the single-server ceiling.
Reconnection and state resync handling
Clients that drop and reconnect automatically catch up to the current state instead of showing stale or broken data, so a flaky network doesn't mean a broken experience.
Presence and connection tracking
Accurate online/offline and typing-indicator style presence data, backed by a connection registry that stays correct even as users connect and disconnect across multiple servers.
Message ordering and delivery guarantees where they matter
Critical event streams get sequencing and at-least-once delivery so out-of-order or dropped messages don't corrupt application state.
Load testing under real concurrency
The system is tested with realistic concurrent connection counts and message throughput, so you know its actual limits before launch rather than after an incident.
Four steps, no mystery.
Quick scoping call
A short call (or async over WhatsApp) to understand what you're working with and what "done" actually looks like for you.
Fixed scope, no surprises
A clear written plan of what's included and how long it takes, before any work starts.
The actual work
Progress you can see, not a black box. You get updates as milestones land, not just a status report at the end.
Handover
Everything documented and handed over cleanly, with a walkthrough so your team isn't stuck waiting on me for routine changes.
You might also need.
Frequently asked.
It comes down to whether the client needs to send data back in real time. Server-Sent Events are simpler and sufficient for one-way updates like live dashboards; WebSockets are used when true bidirectional communication is required.
Tell me what you're dealing with.
Send a message and get a real reply within 24 hours, not an automated sequence.
Or WhatsApp directly, same link as above