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Online Talk

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

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Extend, Confluent, AWS

Available On-Demand

In the fast-paced world of digital native applications, time is everything. That's why enterprises choose serverless architectures for accelerated development, self-serve provisioning, elastic scaling, and enhanced security.

Why Serverless?

  • Unleash Development Velocity: Innovate more, manage less
  • Elastic Scaling: Grow seamlessly as your apps evolve
  • Cost-Efficiency: Lower Total Cost of Ownership (TCO)

Extend is a modern product protection platform that covers products from point-of-purchase through enjoyment with shipping and product protection. By leveraging Confluent and AWS serverless technologies, Extend has automated their infrastructure and redefined the extended warranty industry.

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

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 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.

Additional Resources

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