PREVIEW: Scaling Kafka Across Multiple Data Centers (Gwen Shapira, Confluent) Kafka Summit 2017

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NOTE: This is a preview. All Kafka Summit videos available in full at https://confluent.io/kssf17 | You have made the transition from single machines and one-off solutions to distributed infrastructure in your data center powered by Apache Kafka. But what if one data center is not enough? In this session, we review resilient data pipelines with Apache Kafka that span multiple data centers. We provide an overview of best practices and common patterns including key areas such as architecture and data replication as well as disaster scenarios and failure handling.

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ABOUT CONFLUENT
Confluent, founded by the creators of Apache™ Kafka™, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit http://confluent.io
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Data Centers
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