Streaming Audio: A Confluent Podcast about Apache Kafka

Coming from decades of experience in messaging, Dan Rosanova discusses the pros and cons of cloud event streaming services on GCP, Azure, and Confluent Cloud. He also compares major stream processing and messaging services: Cloud Pub/Sub vs. Azure vs. Confluent Cloud, and outlines major differences among them.

Kent Beck chats about various topics of broad interest to developers, including some of his books. He shares about what it’s like to experiment and implement new ideas, especially when others doubt what you're trying to achieve, as well as the difference between refactoring and tidying, his involvement with agile software and test-driven development, and what exactly test-commit-revert is. And yes, Kent talks a little bit about event streaming too!

Ask Confluent is back! Gwen and Tim talk through how to submit a proposal and get accepted to conferences, the secret for a long marriage, REST Proxy, and how Kafka relates to Splunk. For those who have just started integrating Kafka, Tim and Gwen provide pointers about how to go about understanding it.

Paul Rayner describes how the vast tooling in DDD enables developers to focus on the coding that really matters and makes systems more collaborative, taking into account three primary considerations: how to get better at collaborating, strategic design and understanding why design really matters, and modeling codes.

TensorFlow is Google's version of wrangling various technologies to help group them together and work smoothly as large amounts of data flow through. Chris Mattmann, author of Machine Learning with TensorFlow, explains neural networks, how technology simulates cerebral processes that take place when our visual cortex receives a new image, and a use case that involves Apache Kafka® and event streaming to achieve TensorFlow's goals.