Pulsar: Fast And Scalable Messaging with Rajan Dhabalia and Matteo Merli - Episode 17
Data Engineering Podcast - Un pódcast de Tobias Macey - Domingos
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One of the critical components for modern data infrastructure is a scalable and reliable messaging system. Publish-subscribe systems have been popular for many years, and recently stream oriented systems such as Kafka have been rising in prominence. This week Rajan Dhabalia and Matteo Merli discuss the work they have done on Pulsar, which supports both options, in addition to being globally scalable and fast. They explain how Pulsar is architected, how to scale it, and how it fits into your existing infrastructure.
