Stateful, Stateless and Serverless – Running Apache Kafka®
on Kubernetes

Stateful, Stateless and Serverless – Running Apache Kafka<sup>®</sup></br> on Kubernetes

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With the rapid adoption of microservices, there is a growing need for solutions to manage deployment, resources and data for fleets of microservices. Kubernetes is a resource management framework for containers that is rapidly growing in popularity. Apache Kafka is a streaming platform that makes data accessible to the edges of an organization. It's no wonder the question of running Kafka on Kubernetes keeps coming up!

In this online talk, Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent and Kafka PMC member, will help you navigate through the hype, address frequently asked questions and deliver critical information to help you decide if running Kafka on Kubernetes is the right approach for your organization.

You will:

  • Get an introduction to the basic concepts you need to know as you plan to deploy services on Kubernetes.
  • Learn which parts of the Kafka ecosystem fit Kubernetes like a glove, and which require special attention.
  • Pick up useful tips for getting started.
  • See why Confluent Platform for Kubernetes is the simplest solution to deploying and orchestrating Kafka on Kubernetes, using container images and a Kubernetes operator.

 

Speakers

Joe Beda

Joe Beda
Co-founder and CTO, Heptio

Joe Beda started his career at Microsoft working on Internet Explorer (he was young and naive). Throughout his 7 years at Microsoft and 10 years at Google, Joe has worked on GUI frameworks, real-time voice and chat, telephony, machine learning for ads and cloud computing. Most notably, while at Google Joe started the Google Compute Engine and, along with Brendan Burns and Heptio Co-founder Craig McLuckie, created Kubernetes.

Gwen Shapira

Gwen Shapira

Principal Data Architect, Confluent

Gwen is a principal data architect at Confluent. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of “Kafka – The Definitive Guide” and “Hadoop Application Architectures,” and a frequent presenter at industry conferences. Gwen is a PMC member on the Apache Kafka project and committer on Apache Sqoop. 

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