Overview
Modern supply-side platforms must process tens of billions of ad impressions daily while ensuring fairness, transparency, and optimal monetization. However, many legacy SSPs struggle with scalability bottlenecks, inconsistent auction logic, and outdated infrastructure. This leads to auction timeouts, integration friction with DSPs, and ultimately revenue leakage for publishers. To address these challenges, we build custom SSP core infrastructure using distributed microservices, edge processing, and modern container orchestration. Our platforms are built for horizontal scalability, real-time decisioning, and dynamic partner onboarding. Deterministic business logic and centralized auction audit trails ensure transparency and trust in every transaction. We focus on delivering infrastructure that offers: Millisecond-level auction response times Multi-region failover and 99.999% uptime Flexible control for publishers and fast adaptation to demand shifts Built-in readiness for AI-based enhancements like price floor optimization
Baseline features: Real-time auction engine with configurable bidding rules Inventory and demand partner management modules Logging and audit systems for auction traceability Reporting APIs with real-time analytics
Advanced features: Dynamic routing of inventory across multiple exchanges Edge-deployed auction components for ultra-low latency Auto-scaling infrastructure on Kubernetes clusters Integration with ML models for floor pricing, win rate prediction, and bid shaping
Core services run on Amazon EKS or EC2 clusters, ingesting data via Kinesis or Kafka, and delivering results to S3, Redshift, or downstream APIs. AWS Lambda handles data enrichment and alerting, while CloudFront and Route 53 optimize real-time performance. SageMaker powers predictive models and AI-driven optimizations.
Highlights
- Increased eCPM and fill rate: Improved auction efficiency and DSP compatibility
- Reduced auction timeout rate: Sub-millisecond latency with async architecture
- Lower cost per impression: Optimized infrastructure footprint through auto-scaling
Details
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