Artificial Intillegence » Bulk Mail Service For Bench Sales

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Description Edit Description Project Overview DispatchHub is an enterprise bulk email dispatch platform designed for vendor communication with strict requirements around reliability, quota enforcement, multi-tenancy, and production-grade security. The goal was to build a scalable, AWS-native system without third-party platform dependency. Work Completed (Full Timeline) 1. Product & Architecture Definition Defined DispatchHub as a non-marketing bulk email system (no campaigns, no analytics, no tracking). Finalized core modules: Inbox / Sent Vendor management with vendor lists Dispatch creation and execution Usage quotas and enforcement Super Admin portal (tenants, plans, billing, tickets) Finalized multi-tenant architecture with strict data isolation. Defined Super Admin vs Tenant User access model. 2. Base44 Prototype & Validation Built initial UI and workflow using Base44 for rapid validation. Implemented: Authentication Tenant routing Vendor lists Dispatch flow Completed Phase 1–4 business logic validation on Base44. 3. Strategic Decision: Full Base44 Removal Decided to fully remove Base44 for production readiness. Identified Base44 dependencies: Authentication Database entities Backend functions Approved Option B: Full replacement with in-house AWS-native backend. 4. Backend Re-Architecture (AWS-Native) Designed new backend architecture: Frontend → REST API (Fastify) → PostgreSQL → SQS → Worker → SES Implemented backend using: Fastify (TypeScript) Prisma ORM JWT authentication PostgreSQL (multi-tenant schema) 5. Backend Core Features Implemented Authentication system: JWT-based auth Role-based access (Super Admin / Tenant) Multi-tenant enforcement: tenant_id enforced at database level Tenant lifecycle: Active / Suspended states Dispatch system: Dispatch creation Queue-based execution Usage & quota enforcement: Atomic quota checks (transaction-safe) Worker-level re-validation before each email Race-condition safe quota increments Worker crash-safe design (no quota corruption) 6. Frontend Integration (Base44 → REST API) Removed all Base44 SDK usage from frontend. Implemented centralized REST API client. Migrated: Authentication flow Route guards Tenant context All UI pages (Dashboard, Vendors, Dispatch, Admin pages) Updated environment configuration (VITE_API_URL). Verified frontend → backend communication. 7. Backend Stability & Startup Hardening Fixed backend startup issues: JWT secret validation Logger (pino) configuration Improved error messaging Added fail-fast config validation for: JWT_SECRET DATABASE_URL Documented backend startup procedure. 8. AWS Production Infrastructure Setup Created AWS production environment. Provisioned Aurora PostgreSQL (Serverless v2) cluster: Database: dispatchhub-db Region: us-east-1 Encrypted at rest Configured database users and credentials. 9. Secure Credential Management Created AWS Secrets Manager vault. Stored database credentials securely. Updated backend to fetch credentials dynamically. Removed hardcoded secrets from codebase. 10. Backend–Database Connectivity Launched production EC2 instance (dispatchhub-backend-prod). Attached IAM role to backend instance. Verified: Encrypted SSL connection Database write access Proper authentication and authorization 11. Production Security Hardening Identified backend EC2 security group (dispatchhub-backend-sg). Updated database security group (dispatchhub-db-sg): Removed public PostgreSQL access (0.0.0.0/0) Restricted access to backend security group only Result: Database is fully private Only backend server can connect 12. Verification & Validation Verified: Backend startup Database connectivity Tenant isolation logic Quota enforcement logic Infrastructure meets production security standards. Current Status Application code: complete Backend: AWS-native, production-ready Database: secure, private, connected Base44: fully removed System ready for backend deployment and live testing. Next Planned Steps Deploy backend application on EC2. Configure runtime environment variables from Secrets Manager. Start backend service. Perform end-to-end API and dispatch testing. Proceed toward controlled production launch.