The moment of realization usually hits about three months after launch. Your application performance is flawless, users are happy, but your Firebase invoice has jumped from the free tier to hundreds of dollars overnight. The culprit is rarely storage or bandwidth. In 90% of Firestore billing spikes, the root cause is read operations . Firestore charges approximately $0.06 per 100,000 document reads. This sounds negligible until you realize that a single user refreshing a "feed" view might trigger 50 reads. Multiply that by 1,000 daily active users doing 10 refreshes a day, and you are burning 500,000 reads daily just on one screen. This guide details five architectural patterns to drastically reduce Firestore read operations without sacrificing user experience, moving beyond basic caching into architectural optimization. The Root Cause: How Firestore Counts Reads To optimize, you must understand the billing mechanics. Firestore is not billed like SQL databases (CPU/RAM). I...
Android, .NET C#, Flutter, and Many More Programming tutorials.