Many organizations use Apache Kafka® to build data pipelines that span multiple geographically distributed data centers, for use cases ranging from high availability and disaster recovery, to data aggregation and regulatory compliance.
The journey from single-cluster deployments to multi-cluster deployments can be daunting, as you need to deal with networking configurations, security models and operational challenges. Geo-replication support for Kafka has come a long way, with both open-source and commercial solutions that support various replication topologies and disaster recovery strategies.
So, grab your towel, and join us on this journey as we look at tools, practices, and patterns that can help us build reliable, scalable, secure, global (if not inter-galactic) data pipelines that meet your business needs, and might even save the world from certain destruction.
발표자
Sanjana Kaundinya
ConfluentSanjana Kaundinya is a Senior Software Engineer II who joined Confluent in 2019 after completing her bachelor’s degree in computer science at Cornell University. Since joining Confluent, she has worked on a variety of multi-region technologies including Replicator, MirrorMaker 2, Multi-Region Clusters, and Cluster Linking. As a member of the Global Kafka team, she was one of the original engineers to work on Cluster Linking and helped make the product generally available on both Confluent Cloud and Confluent Platform. Apart from software, Sanjana is an avid dancer with over 10 years of training in Indian classical dance.
발표자
Rajini Sivaram
ConfluentRajini Sivaram is a principal engineer at Confluent, designing and developing geo-replication and security features for Confluent Platform and Confluent Cloud. She is an Apache Kafka Committer and member of the Apache Kafka Program Management Committee.