A leading mobile monetization company required a scalable and cost-effective alternative to existing mediation platforms that were expensive, difficult to customize, and unable to efficiently handle large-scale mobile monetization traffic. The goal was to engineer a custom SDK adapter and mediation infrastructure capable of handling extremely high request volumes while maintaining ultra-low latency and real-time analytics visibility. The platform was designed to support rapid scalability, seamless mediation integrations, and real-time ad decisioning while reducing infrastructure complexity and operational overhead.
As the platform was expected to handle extremely high mobile ad traffic volumes, several engineering and infrastructure challenges needed to be solved
High-Volume Traffic Processing: Building an architecture capable of handling 23,000 requests per second with future scalability toward 100K+ RPS.
Ultra-Low Latency Requirements: Ensuring ad responses were consistently delivered in under 50 milliseconds for optimal mobile app performance.
Real-Time Analytics Pipeline: Capturing, processing, and visualizing billions of daily events with near real-time dashboard synchronization.
Mediation Platform Integration: Integrating multiple ad mediation platforms and SDK providers into a unified monetization infrastructure.
Infrastructure Scalability: Designing horizontally scalable systems capable of handling future traffic spikes and multi-region deployment requirements.
We began by analyzing existing monetization workflow limitations within third-party mediation platforms. The architecture was designed around high-throughput event processing, low-latency response handling, and scalable distributed infrastructure.
Our engineering team implemented optimized GoLang services, Redis-based caching, Kafka event streaming, and Kubernetes orchestration to ensure high availability and fault tolerance. Real-time analytics pipelines were developed to process billions of requests and provide actionable insights through operational dashboards.
The platform was built with future scalability in mind, enabling rapid expansion toward significantly higher traffic volumes without major infrastructure redesign.
Our solution focused on building a highly scalable mobile monetization infrastructure optimized for performance, reliability, and real-time analytics.
High-Performance SDK Adapter Engine: Optimized request routing and response handling for ultra-low latency ad delivery.
Real-Time Mediation Infrastructure: Unified integration layer supporting multiple ad mediation providers and SDK platforms.
Event Streaming & Analytics: Near real-time ingestion and processing of impressions, clicks, conversions, and monetization events.
Intelligent Traffic Handling: Distributed architecture capable of balancing massive request loads across scalable infrastructure.
Operational Dashboard: Comprehensive dashboard for monitoring requests, performance metrics, monetization insights, and system health.
High-Performance SDK Adapter Engine : Optimized infrastructure for ultra-low latency ad request routing and response handling across mobile applications.
Real-Time Ad Mediation: Unified mediation infrastructure supporting multiple demand partners, SDK integrations, and monetization workflows.
Distributed Event Streaming: Kafka-powered event processing pipeline designed to handle billions of daily ad requests and analytics events.
Near Real-Time Analytics : Dashboard Live operational dashboards providing visibility into traffic, latency, monetization, and infrastructure performance.
Scalable Cloud Infrastructure: Kubernetes-based horizontally scalable architecture engineered for 23K+ RPS with future scalability toward 100K+ RPS.
Redis Performance Optimization: Advanced Redis caching mechanisms implemented to improve response speed and reduce infrastructure latency.
Low-Latency Ad Serving Infrastructure: optimized to consistently deliver ad responses in under 50 milliseconds for seamless mobile app performance.
Infrastructure Monitoring & Reliability: Enterprise-grade monitoring, fault tolerance, and load balancing systems ensuring high availability under massive traffic loads.
requests handled per second (RPS)
average response latency
request processing capacity per day
higher performance than initial target
targeted scalable RPS architecture
EMFI Group is an intelligence-driven financial services company. They provide asset and wealth management in addition to execution, trading, custody, and clearing services.
A fast-growing digital media company sought an AdTech platform to optimize campaigns, automate bidding, and maximize ROI while simplifying programmatic ad buying.
Autonerd was built with Bubble to help car dealerships enhance and improve the vehicle auction process. The system speeds up how new participants start, provides listings for vehicles and ensures auctions can be transparent with with all the live data.
Thank you for getting in touch! Kindly fill the form, have a great day!
