Artificial Intillegence » Bulk Mail Service For Bench Sales

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Project *AFC Artificial Intillegence  » Algo Trade Automation  » Algo Trade Manual  » Bulk mail Automation with web interface  » Bulk Mail Service For Bench Sales  » Code Generation Tool  » Cold Emailing Automation (AI-Driven)  » Invoice Inventory Automation  » invoice to inventory for evergreen  » Test Automation  » What's app Bulk messaging with AI agents  » Zelle Payment for evergreenCharan Technologies _ DevelopmentEver green Farms USA (static website)Evergreen farms (pos)Evergreen React ApplicationGas Station ERPHackthonIT HappENSLucky BraidsMy Produce StandNoxa_JewelleryOffice Requirments  » Daily Tasks For Madhu  » Employees requirements  » Recruitment senior mern stack developer  » Red MIne Speed  » Senior Mern Stack DeveloperQA TestersRare FruitsRegal SolarRegal Solar DMRegal Solar Energy_ ReactReliance Home Builders_ reactRemit2AnyRestaurant POSRSVPRushi GardensRV_ EngraverSri Farms _ DMSri_FarmsTech FourceTechnical RequirementsTechy_DevelopmentTechy_POS Travel Mate

Tracker *Bug Feature Support

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Description Edit (In Progress): This task covers the next execution phase of DispatchHub focused on deploying the backend application to AWS and enabling core production services. 1. Backend Deployment on EC2 SSH access to the dedicated backend EC2 instance. Install Node.js (LTS) and required system dependencies. Deploy backend application code on the server. Configure runtime environment variables (non-secret values only). Run database migrations against Aurora PostgreSQL. Start backend service using PM2 for production process management. Verify backend health endpoint and stability. 2. AWS SES Email Setup Configure AWS SES in us-east-1 region. Verify sender email for sandbox usage. Attach required SES permissions to backend IAM role. Perform initial test email delivery. Prepare for later transition from sandbox to production (domain, SPF/DKIM/DMARC). 3. SQS Queue and Worker Service Setup Create SQS queue for dispatch job processing. Configure visibility timeout and dead-letter queue. Attach required SQS permissions to worker IAM role. Deploy worker service to consume SQS messages. Start worker process using PM2. Validate end-to-end dispatch execution (UI → SQS → Worker → SES). Outcome Expected Backend API running reliably on EC2. Secure connection to Aurora PostgreSQL. Email sending functional via SES. Background dispatch processing operational via SQS worker. Status In progress – backend deployment and service enablement phase.