Enterprises that are trying to accelerate development times for their digital native applications are defaulting to serverless architectures. And for good reasons too. With self-serve provisioning, elastic scaling, lower TCO, and industry standard security features, it makes it easy for developers to spend more time building and less time managing.
Join this session to see first hand how developers are pairing Confluent's cloud native, serverless Apache Kafka offering with AWS's serverless services to build data apps and platform that scale.
Presenter
Joseph Morais
ConfluentJoseph Morais started early in his career as a network/solution engineer working for FMC Corporation and then Urban Outfitters (UO). At UO, Joseph joined the e-commerce operations team, focusing on agile methodology, CI/CD, containerization, public cloud architecture, and infrastructure as code. This led to a greenfield AWS opportunity working for a startup, Amino Payments, where he worked heavily with Kafka, Apache Hadoop, NGINX, and automation. Before joining Confluent, Joseph helped AWS enterprise customers scale through their cloud journey as a senior technical account manager. At Confluent, Joseph serves as cloud partner solutions architect and Confluent Cloud evangelist.
Presenter
Adam Wagner
Amazon Web ServicesAdam is a Principal Serverless Solutions Architect at AWS based in Boston, MA. He joined AWS in 2014 and since then has worked with many different customers including startups, ISV partners, and large Enterprises. Adam enjoys all things serverless but is particularly passionate about event-driven architectures and processing streaming data with Lambda. Outside of work, Adam is normally mountain biking, climbing, or having some other sort of outdoor adventure with his family.