Optimizing application performance and compute cost for AdTech - Seguridad Mania.com - España y América Latina

When there's a direct correlation between application performance and generating revenue, it's no wonder the AdTech industry is one of the most competitive ones, comprised of strict SLAs and uncompromising performance requirements. In this session, we review the use case of Perion, a public-traded AdTech company. Perion leverages big data for its products and receives billions of requests to its infrastructure on a daily basis (which also comes with a cost). Being the innovative and data-driven company they are, Perion's dev and engineering teams have already implemented several methods to improve performance and reduce cost: from application modernization (migration from monolith to K8s-run microservices) to using spot and reserved instances. But that wasn't enough. Perion reached a point where it exhausted all optimization practices within its workloads running in the cloud as well as its engineering resources. So what do you do next? Join Amir Arama - VP Cloud Operations at Perion and Tom Amsterdam - VP Product at Granulate as they'll go over: - The main cost and performance challenges the AdTech industry is facing today - Common optimization methods and practices in the market - Progressive solutions to improve performance and reduce cost - Granulate's autonomous, continuous workload optimization and how it helped Perion reduce compute costs by 52%