Development of a Multitenant Supply-Side Platform with Robust System Architecture and Integration Capabilities

The client faced significant difficulties due to loss of documentation and knowledge of a fragmented SSP platform comprising multiple repositories and services across different technologies. This led to challenges in system maintenance, troubleshooting, onboarding new engineers, and effectively scaling the platform to support multiple marketplaces. Limited access to production environments hindered optimization efforts, resulting in inefficient data pipelines and difficulties in platform stabilization.

A mid-to-large-sized digital advertising company with multiple marketplaces and partners seeking scalable and maintainable SSP infrastructure.

• Restore comprehensive understanding and documentation of the existing system architecture and dependencies.
• Consolidate and restructure 148 repositories into a unified, scalable platform environment.
• Reestablish control over the codebase and development environments to facilitate ongoing maintenance.
• Integrate disparate services (Spark, Java, Scala, Ruby) into a cohesive architecture for efficient data processing and bidding operations.
• Optimize data pipelines and real-time bidding systems to enhance performance.
• Create a standardized onboarding process for new engineering team members to ensure smooth transitions and knowledge transfer.
• Implement measures to stabilize the platform during organizational restructuring and scaling efforts.
• Develop integrations with major ad platforms such as Amazon, Nimbus, Facebook Marketplace, enabling multi-platform bidding and ad delivery.
• Improve the platform’s scalability, security, and performance to support future growth.

• Comprehensive system documentation detailing architecture, dependencies, and service interactions.
• A unified codebase managing 148 repositories, with streamlined repository structure and version control.
• Restored access to production environments for maintenance and optimizations.
• Integrated bid management and cascading auction system capable of handling demand from multiple partners (e.g., Nimbus, Amazon, Facebook Marketplace).
• Optimized big data processing pipelines for handling high volumes of ad requests and bid data, utilizing technologies such as Spark, Java, Scala, and Ruby.
• A modular Event-Driven architecture to improve scalability and fault tolerance.
• Robust onboarding materials and reverse-engineered system models to facilitate team knowledge transfer.
• A monitoring and troubleshooting dashboard for real-time platform health and performance metrics.
• Secure access controls and data protection measures aligned with industry standards.

• Demand partners including Nimbus, Amazon, Facebook Marketplace
• Advertising request and bid cascade mechanisms
• Data pipelines for real-time bid and impression analytics
• Secure access to third-party ad platforms and demand sources

• System must support high throughput with low latency, targeting millisecond-level response times for bidding processes.
• Ensure platform availability with 99.9% uptime.
• Rigorous security protocols to protect ad request data and bidding information.
• Scalable architecture capable of supporting a growing number of marketplaces and partners without degradation of performance.
• Ability to perform hot updates and incremental deployments with minimal downtime.

The project aims to significantly improve system maintainability, operational stability, and scalability. Expected benefits include enhanced platform performance, more efficient ad bidding and delivery, rapid onboarding of new team members, and increased revenue opportunities from optimized demand partner integrations. Achieving these goals will position the client for sustainable growth and better market competitiveness in digital advertising.