Serverless Event Driven Architecture, Made Easier with Confluent and AWS Lambda

Extend, Confluent, AWS

Available On-Demand

Many enterprises wanting to accelerate development time for their digital native applications default to serverless architectures, and for good reason. Self-serve provisioning, elastic scaling, lower TCO, and industry-standard security features make it easy for developers to spend more time building and less time managing.

Extend is a modern product protection platform that covers products from point-of-purchase through enjoyment with shipping and product protection. Together with Confluent and Amazon Web Services, Extend has codified and automated all of their infrastructure and leveraged AWS serverless technologies to solve problems for customers by redefining the antiquated extended warranty industry.

Join to explore how Extend pairs Confluent's cloud-native, serverless Apache Kafka offering with AWS serverless services to build data applications and platforms that scale.

Presenters

Joseph Morais

Principal, Partner Solutions Engineer, Confluent

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.

Adam Wagner

Serverless Solutions Architect, AWS

Adam 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.

Jonathan Kropp