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. EPISODE LINKS<ul><li><a href='https://cnfl.io/confluent-cloud-free50-podcast'>Fully managed Apache Kafka as a service! Try free.</a></li></ul>

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. EPISODE LINKSFully managed Apache Kafka as a service! Try free.

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. EPISODE LINKS<ul><li><a href="https://cnfl.io/confluent-cloud-free50-podcast" rel="noopener noreferrer">Fully managed Apache Kafka as a service! Try free.</a></li></ul>

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

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.

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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.

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Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

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