Engineering AI-powered AdTech for planetary scale at InMobi

InMobi, India's first unicorn in the competitive AdTech space, has been strategically navigating the evolving landscape since its inception in 2007, particularly focusing on the integration of artificial intelligence (AI) and machine learning (ML) to enhance user engagement and data processing. With its robust data infrastructure, the company has managed to sustain high-performance metrics, such as 2 to 3 million queries per second, leveraging Aerospike's advanced database capabilities to achieve low-latency operations crucial for real-time ad bidding and personalization. Principal Engineer Sudheer Bhat emphasized the importance of efficiency and precision in scaling operations, adopting a methodical approach to innovation by exploring new technologies like io_uring and Aerospike expressions to optimize latency and performance. InMobi's transition to next-generation feature stores and use of the Aerospike Kubernetes Operator exemplifies its commitment to operational excellence and readiness for AI/ML workloads at a global scale. The company’s focus on operational efficiency, adaptability, and leveraging Aerospike’s capabilities has positioned it to support real-time AI initiatives, aiming for a comprehensive feature store that facilitates unprecedented access to data, thereby unlocking new growth opportunities.