Google Apps Script production arxitekturasi va katta Google Sheets dataset optimizatsiyasi

Google Workspace Developers Q&A
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Hello Google Workspace Developers community.

I am building an internal operational management dashboard using Google Apps Script, Google Sheets, HtmlService Web App, CacheService, and time-based triggers.

The system processes form submissions, normalizes data, builds analytical summary sheets, exposes read-only API functions to a web dashboard, and maintains system logs and data quality audit sheets.

I would like advice on best practices for:

  1. Large Google Sheets data processing:
  • full rebuild vs incremental update
  • batch read/write strategy
  • avoiding Spreadsheet service timeout
  1. Trigger orchestration:
  • safest way to run multiple dependent modules
  • avoiding overlapping executions
  • LockService best practices
  1. Production monitoring:
  • system log structure
  • health status snapshot
  • data quality audit design
  • warning vs error severity model
  1. Apps Script web app performance:
  • CacheService usage
  • limiting reads from large sheets
  • safe API response patterns
  1. Scalability:
    At what point should a Google Apps Script + Sheets architecture be moved to services such as BigQuery, Firestore, Cloud SQL, Cloud Run, or Pub/Sub?

No public links or sensitive data are shared. I am only looking for general architecture and best-practice guidance.

Thank you.

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