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Development of Scalable Ad Analytics Platform with Microservices Architecture

sunscrapers.com

Advertising & marketing

Information technology

Consumer products & services

Technical Debt and Scalability Challenges in Ad Analytics Platform

Legacy codebase incompatible with growing requirements, hardcoded client dependencies preventing multi-client support, non-scalable data gathering processes, lack of documentation, and difficulties recruiting technical talent in Amsterdam's competitive AdTech market.

About the Client

Young Dutch startup in growth phase specializing in business analytics for FMCG companies

Technical Modernization and Team Augmentation Goals

Refactor legacy system to microservices architecture
Decouple client-specific dependencies for multi-tenancy support
Implement scalable data aggregation infrastructure
Establish agile development processes with Scrum framework
Build dedicated technical team with leadership capabilities

Core Platform Capabilities

Real-time customer behavior tracking dashboard
AI-powered conversion optimization engine
Multi-client architecture with tenant isolation
Automated data pipeline for FMCG market insights
Third-party advertising platform integrations

Technology Stack Requirements

Django

NodeJS

React

MongoDB

Microservices architecture

External System Integrations

Google Marketing Platform
Facebook Business Suite
Amazon Advertising API
CRM systems (Salesforce, HubSpot)
Data warehousing solutions

System Quality Attributes

Horizontal scalability for 10x data growth
99.9% system availability SLA
Real-time data processing latency <200ms
Role-based access control (RBAC)
Automated CI/CD pipeline with testing coverage >85%

Expected Business Impact of Technical Modernization

Enables rapid onboarding of new FMCG clients through flexible architecture, reduces infrastructure costs by 40% via optimized data processing, accelerates feature delivery with dedicated development team, and positions Quetru as market leader in AdTech analytics with ability to handle petabyte-scale datasets.