Over-Fetching and Under-Fetching Data
7/10 HighDevelopers struggle to balance data retrieval efficiency. Requesting excessive data degrades performance, while requesting too little data causes multiple round trips to the server, impacting application speed and responsiveness.
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Another issue is over-fetching data, which can slow down your app... One approach is to lazy load data or use virtual lists to only render the items that are in view.
Pain point REST APIs are common. They hide in latency spikes, payload bloat, brittle contracts, and opaque versioning... Slow serialization, inefficient queries, and over-fetching data are top offenders... Bloated JSON wastes bandwidth.
Developers may unintentionally request excessive data, resulting in performance degradation. On the contrary, requesting too little data can lead to multiple round trips to the server, further impacting application speed and responsiveness.