How do you use Apache Kafka®, Confluent Platform, and Confluent Cloud for DevOps? Integration Architects Rick Spurgeon and Allison Walther share how, including a custom tool they’ve developed for this very purpose.

Apache Kafka® 2.7 is here! Here are the key Kafka Improvement Proposals (KIPs) and updates in this release. Find out what’s new with the Kafka broker, producer, and consumer, and what’s new with Kafka Streams in today’s episode.

Chris Richardson, creator of the original Cloud Foundry, maintainer of Microservices.io, and author of “Microservices Patterns: With Examples in Java,” discovered cloud computing in 2006 during a Google talk about APIs for provisioning. Chris explains what choreographed sagas are, reasons to leverage them, and how to measure their efficacy.

Apache Kafka + Porsche = Fast cars and fast data! Sridhar Mamella (Platform Manager, Data Stream Platforms, Porsche) discusses how Kafka’s event streaming technology powers Porsche through their StreamZilla platform.

Jason Bell delves into his 32-year journey as a DevOps engineer and how he discovered Apache Kafka. As a Kafka DevOps engineer today, Jason works with on-prem clusters and faces challenges like instant replicas going down and bringing other developers who are new to Kafka up to speed so that they can eventually adopt it and begin building out APIs for Kafka.