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DevOps & IaC

WeamAI — Advanced Microservices & IaC

Architected and deployed a multi-service AI platform with automated infrastructure using AWS ECS, Terraform multi-environment IaC, and CodePipeline-based CI/CD.

Industry: AI / SaaS Platform
Duration: 5 Weeks
Role: Cloud Architect & DevOps Lead
Status: Live in Production
3
Environments (Dev/QA/Prod)
100%
Automated Deployments
4
Microservices (Python/React/TS/Node)
0
Manual Server Config
The Challenge

Where It Started

Architected and deployed a multi-service AI platform with automated infrastructure using AWS ECS, Terraform multi-environment IaC, and CodePipeline-based CI/CD.

Problems
  • 4 separate microservices deployed manually, each a different stack
  • No isolation between Dev, QA and Production environments
  • Manual server provisioning — hours lost per environment spin-up
  • No CDN — slow global load times for the AI platform
Our Solution
  • Terraform-managed isolated Dev/QA/Prod environments
  • Dockerized Python, React, TypeScript & Node services
  • Automated CodePipeline + CodeBuild CI/CD
  • CloudFront CDN + ALB for global low-latency delivery
Architecture

System Overview

GitHub Code Push CodeBuild Build & Test ECR Docker Image AWS ECS Deploy Services CloudFront + ALB Auto Scaling WeamAI Python/React TypeScript/Node Source CI Registry Container Traffic + Scale Production Terraform-managed multi-environment: Dev → QA → Production
Implementation

How We Delivered It

Week 1
Audit & Terraform Architecture
Mapped all 4 microservices and designed isolated Dev/QA/Prod Terraform modules for VPC, ECS, ECR and networking.
Week 2–3
Containerization
Built optimized multi-stage Docker configs per service stack (Python, React, TypeScript, Node) and pushed to ECR.
Week 3–4
CI/CD Pipeline
Implemented CodeBuild + CodePipeline for fully automated build-test-deploy across all 3 environments.
Week 5
CDN, ALB & Handover
Configured CloudFront + ALB + Auto Scaling Groups, Nginx reverse proxy, and handed over with full documentation.
Tech Stack

Technologies Used

AWS ECSECRTerraformDockerCodeBuildCodePipelineCloudFrontALBAuto ScalingNginx
Results

The Impact We Delivered

100%
Automated Deployments
Every push to main triggers a fully automated, zero-touch deployment.
3
Isolated Environments
Dev, QA and Production run on completely isolated Terraform-managed infra.
4
Microservices Unified
Python, React, TypeScript and Node services all on one consistent pipeline.
0
Manual Server Config
Every resource is defined and provisioned as code via Terraform.
"Our deployments used to be a bottleneck every single week. Now every environment spins up identically and predictably — the platform finally scales the way our product does."
— CTO, AI SaaS Platform (Client, Confidential)

Project Details

IndustryAI / SaaS Platform
Duration5 Weeks
Team Size2 Engineers
RoleCloud Architect & DevOps Lead
StatusLive in Production

Services Used

AWS ECSTerraformDockerCodePipelineCloudFrontALB
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Key Wins

  • Zero manual server configuration
  • Isolated multi-environment IaC
  • 4 tech stacks unified in one pipeline
  • Global CDN delivery via CloudFront
  • Fully documented & handed over

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