June 25, 2019 | Episode 38

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

  • Notes

If you operate a Kafka cluster, hopefully you upgrade your brokers occasionally. Each release of Apache Kafka® includes detailed documentation that describes a tested procedure for doing a rolling upgrade of your cluster. Couldn’t be easier, right? Well, what if you have to do it with hundreds or thousands of brokers, such as you’d have to do if you were running Confluent Cloud? Today, Gwen Shapira shares some of the lessons she’s learned doing just that.

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Episode 39June 25, 2019 | 13 min

Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

Tim Berglund (Senior Director of Developer Experience, Confluent) explains the Kafka Improvement Proposals (KIPs) and what’s new in Apache Kafka 2.3.

Episode 40July 2, 2019 | 45 min

Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson

Jason Gustafson dives into the challenges of working on distributed systems, particularly when it comes to a unique system like Apache Kafka. He also discusses ways in which Confluent is working with the community to solve active problems, and what it takes to be a distributed systems engineer.

Episode 41July 10, 2019 | 49 min

Change Data Capture with Debezium ft. Gunnar Morling

Gunnar Morling shares a little bit about what Debezium is, how it works, and which databases it supports. In addition to covering the various use cases and benefits from change data capture in the context of microservices, Gunnar walks us through the advantages of log-based CDC as implemented through Debezium over polling-based approaches, why you’d want to avoid dual writes to multiple resources, and working collaboratively with the community on Debezium.

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