In the last year, multicluster and cross-data center deployments of Apache Kafka have become the norm rather than an exception. The reasons are many and include:
Gwen Shapira offers an overview of several use cases, including real-time analytics and payment processing, that may require multicluster solutions and discusses real-world examples with their specific requirements. Gwen outlines the pros and cons of several common architecture patterns, including:
Along the way, Gwen explores the features of Apache Kafka and demonstrates how to use this understanding of Kafka to choose the right architecture for use cases from the financial, retail, and media industries.
Gwen Shapira is a system architect at Confluent, where she helps customers achieve success with their Apache Kafka implementations. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, the coauthor of Hadoop Application Architectures, and a frequent presenter at industry conferences. She is also a committer on Apache Kafka and Apache Sqoop. When Gwen isn’t coding or building data pipelines, you can find her pedaling her bike, exploring the roads and trails of California and beyond.
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