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Building Real-Time Serverless Data Applications

« Current 2022

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.

Moderator

Joseph Morais

Joseph 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.

Building Real-Time Serverless Data Applications

Moderator

Joseph Morais

Moderator

Adam Wagner

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