Streaming Audio: Apache Kafka® & Real-Time Data
Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
Streaming Audio: Apache Kafka® & Real-Time Data
The Future of Serverless and Streaming with Neil Avery
Neil Avery explores the intersection between FaaS and event streaming applications before taking a quick detour back in time to understand how we've gotten to this point in event-driven applications. He'll explain the pros and cons of FaaS, and cover how in its current state cold starts and latency concerns need to be part of the bigger picture when building streaming applications. Finally, Neil shares five rules that will help you understand how FaaS fits with the event streaming application.
EPISODE LINKS
- Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything
- Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture
- Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless
- Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices