Real-time data sync, live notifications and instant UI updates – users see the change without reloading. It sounds like a detail, but with stock levels, reservations or prices the difference between "current" and "current as of the last page load" is the difference between a completed and a cancelled order.
Where it actually matters
On the last units in stock, when several customers compete for the same item. In booking systems, where two parallel attempts must not take the same slot. On dashboards that staff keep open all day and have no reason to refresh. And in processes where a status change has to reach the next department immediately.
How we solve it
- The server pushes changes as events; the client does not re-download the whole state.
- Automatic reconnection after an outage, including catching up on missed changes.
- Conflict handling when two users edit the same thing at once.
- Targeted delivery – a user receives only what concerns them.
- Fallback to conventional loading where a live connection is unavailable.
What to watch out for
Real-time is not free. Every open connection costs something, and a badly designed broadcast can load the server more than the original polling did. In practice we combine approaches – critical data goes out immediately, the rest refreshes on a sensible interval.
We judge the result by whether conflicts and complaints went down, not by how many events the system pushes.
Frequently asked questions
Does real-time put more load on our server?
It depends on the design. A poorly configured broadcast can load it more than the original polling; a well designed one loads it less, because repeated empty requests disappear. That is why we size the design around the expected number of concurrent users.
Does it work on mobile networks?
Yes, but outages have to be expected. The connection reconnects automatically after signal loss and the client pulls in the changes it missed. Where a live connection is unavailable entirely, the application falls back to conventional loading.
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