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SaaS EngineeringAWS Consulting
Case study

Building Vendorsify: end-to-end SaaS engineering.

A full-cycle engagement: architecting the platform, sourcing the engineering talent, and delivering a multi-region AWS infrastructure.

In this study
01 · Baseb2b concept
02 · Chestmulti-tenant saas
03 · Throatstrict tenant isolation
04 · Jawschema-per-tenant
05 · Crestmulti-region aws
06 · Earaccelerated onboarding
The Challenge

From B2B concept to production SaaS.

Vendorsify needed to transform a B2B concept into a production-ready, multi-tenant SaaS platform. The challenge was multifaceted:

  • Full-Cycle DevelopmentExecuting the entire SDLC from wireframing to deployment without an existing technical team.
  • Complex Data ModelingDesigning a database schema capable of handling diverse vendor workflows while ensuring strict tenant isolation.
  • Scalable OpsProvisioning a secure, auto-scaling AWS infrastructure from Day 1.

Scope of Work

UI/UX DesignFigma & Prototyping
Frontend DevReact & Next.js
Backend & DBNode.js & PostgreSQL
AWS InfraTerraform & ECS
The Application

Vendor lifecycle management.

Vendorsify serves as a central hub for enterprise procurement teams, streamlining the chaotic process of onboarding, managing, and analyzing vendor relationships.

Compliance Tracking

Automated collection and expiry tracking of critical documents (SOC2, ISO, Insurance certificates).

Procurement Workflows

Customizable approval chains for new vendor requisitions and contract renewals.

Spend Analysis

Real-time dashboards visualizing spend across categories, flagging anomalous expenditures.

Core Engineering

Robust systems architecture.

From atomic design components in React to normalized SQL schemas in PostgreSQL, every layer was built for scalability.

Frontend

Next.js with SSR, using a strict design system for consistent UX across tenant portals.

Backend

Node.js microservices with Zod validation and a multi-tenant PostgreSQL schema.

Tenant
idUUID (PK)
nameVARCHAR
schemaVARCHAR
sso_configJSONB
User
idUUID (PK)
tenant_idFK
emailVARCHAR
roleENUM
VendorProfile
idUUID (PK)
user_idFK (1:1)
compliance_statusENUM
docs_urlVARCHAR

Database Structure & Isolation

We implemented a Schema-per-Tenant strategy within PostgreSQL. This ensures that while all tenants share the same physical RDS instance (cost-efficient), their data lives in completely separate logical schemas (secure).

The User table acts as the global directory, routing authentication requests to the correct tenant context.

Infrastructure & DevOps

Enterprise-grade AWS stack.

A fully automated, secure, and resilient cloud architecture designed to support strict enterprise compliance.

We built
  • Enterprise UsersHTTPS
  • CloudFrontWAF + CDN
  • ECS ClusterAuto-Scaling
  • LambdaAsync Tasks
  • RDS ProxyPostgreSQL
01 · Footingenterprise users
02 · Coursecloudfront
03 · Wallvpc private subnet
04 · Corbelecs cluster
05 · Parapetlambda
06 · Battlementrds proxy
AWS Architecture V1.0

CI/CD Pipelines

GitHub Webhooks triggersStaging: Auto-deploy on mergeProd: Manual approval gate

Security First

AWS WAF (IP & Geo Blocking)KMS Encryption (At-rest)Secrets Manager for Creds

Data Management

Multi-AZ FailoverPITR (Point-in-time Recovery)S3 Lifecycle Policies
Time-to-Market

Accelerated onboarding.

Onboarding Efficiency

Manual Setup (Weeks)14 wk
Automated (Minutes)1.5 min

99% improvement in tenant provisioning time via Infrastructure-as-Code.

Team Orchestration

Building the dream team.

Beyond code, we built the company. We sourced, screened, and integrated a dedicated specialist team, implementing Agile methodologies that maximized delivery velocity.

2 Weeks
Sourcing Time
High
Retention Rate

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