Overview

Build reliable internal tools faster with a spreadsheet UI, secure access, and production-ready serverless workflows. Teams struggle to ship admin panels that operators trust, keep costs predictable, and pass security reviews. Custom dashboards take time, generic no-code tools rarely fit policy, and ad hoc scripts become a maintenance burden. This book shows a practical path with Rowy on Firestore. You will set up a clean stack, lock it down with Firebase Auth, App Check, and Security Rules, and add business logic with Rowy Run and Cloud Functions v2. Every step is grounded in realistic workflows, from content approvals to back office queues with SLAs. provision firebase projects, enable firestore and auth, and deploy rowy and rowy run on cloud run design collections, subcollections, and denormalized models that scale without hot partitions configure providers, blocking functions, app check, and role based access with custom claims write security rules that enforce per field and per role policies for safe reads and writes add derivative fields, action buttons, callable functions, and webhooks for real side effects build rowy tables with field types, connected references, and algolia backed views import and export data safely with idempotent ids and guarded reimports use query insights and key visualizer to find slow queries and fix index shapes run the emulator suite in ci with rules unit tests and function tests control costs with batch writes, listener hygiene, and index pruning ship admin workflows, including content catalog approvals and publish to cdn run back office queues with ticket ownership, escalation, notifications, and sla math stream audit events to bigquery and use cloud audit logs for forensics practice recovery with backups, clones, and point in time restore drills support multi tenant setups with identity platform and clear data boundaries This is a code heavy guide. You get working snippets for rules, functions v2, rowy run actions, backup scripts, terraform baselines, ci workflows, and bigquery pipelines so you can implement real projects, not mock examples. Grab your copy today and ship internal tools your operators can rely on.

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