Best practices for designing data architectures for Confluent Cloud
Confluent Cloud is a fully managed Apache Kafka as a Service in the public cloud. Using Confluent Cloud allows developers to focus on building applications, microservices and data pipelines, rather than on managing the underlying infrastructure.
But, just because we run Kafka for you, doesn’t mean your job is done!
In this white paper, we offer recommendations and best practices for designing data architectures that will work well with Confluent Cloud. In addition to discussing integration with Confluent Cloud itself, we tackle the challenges and benefits of running software in Cloud environments and offer guidance that will help you plan your way to a reliable, performant and cost-effective deployment.
Author
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. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, an author of books including Kafka: The Definitive Guide and a frequent presenter at data related conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects.