With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment
that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best
content to their global audience. Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over
bare metal performance.
Initially they deployed at AWS, but as the platform grew and their AWS costs increased, Tapjoy began to look for ways to better manage their growing public-cloud spend while
increasing efficiency. They needed to do this without compromising the cloud experience they were giving their developers.