The edge cases of software engineering.
Time-series data is everywhere in modern systems. Unlike traditional transactional data, which tends to be structured and relatively static, time-series data is continuous, high-volume, and temporal.
Over the past two decades, the landscape of data has changed dramatically. Traditional business records and transactional data have been joined by an explosion of new formats.
Modern applications rarely live in isolation. A single page load might involve calls to a payments API, a recommendation service, a geolocation provider, and your own backend. This web of dependencies makes apps powerful, but also fragile. What happens if one of these services slows down or starts failing? Without safeguards, your app may keep retrying, queuing up requests, or waiting on timeouts. The result: wasted resources, frustrated users, and sometimes cascading failures that spread from one misbehaving service into the rest of your system.
Ffetch v3.1 is out. This release introduces support for pluggable fetch implementations and removes the manual AbortSignal.any fallback.
My second article as a freeCodeCamp News author just got published!