If you’ve ever synced data across systems, you know timezones can turn a straightforward task into a mess. A simple timestamp can spiral into confusion, data mismatches, and broken business logic if mishandled. Picture this: an event logged at 10:00 AM in New York ends up as 11:00 PM in Shanghai—half a day off—because of sloppy timezone handling. These issues don’t just annoy; they can derail reports, schedules, and user trust.
Handling Timezones in Data Synchronization
· 5 min read
Software Engineer