Event Streaming for the Best of All Worlds

When it comes to distributed, event-driven messaging systems, we usually see them supporting either one of two types of semantics: streaming, or queueing, and rarely do we find a platform that supports both.  In this presentation, we’ll first get an introduction and some clarifications of event-driven versus message-driven systems, event streams, and stream processing.  We’ll then take a look at Apache Pulsar which offers a very unique capability in modern, cloud-native applications and architecture, in which its platform supports both Publish-Subscribe and Message Queues, and extends into streams processing as well as performs message mediation & transformation.  We will see how it works closely with and relies on Apache Bookkeeper for its durable, scalable, and performant storage of log streams, and leverages on Apache Zookeeper to manage the otherwise very complex ecosystem.  We will then compare Apache Pulsar with the popular Apache Kafka platform to understand some of their key differences as to how Pulsar can overcome some of Kafka's limitations. 

Mary's Bio:

Mary is a Java Champion and a passionate Senior Developer Advocate at DataStax, a leading data management company that champions Open Source software and specializes in Big Data, DB-as-a-service, Streaming, and Cloud-Native systems.  She spent 3.5 years previously as a very effective advocate at IBM, focusing on Java, Jakarta EE, OpenJ9, Open Source, Cloud, and Distributed Systems.  She transitioned from Unix/C to Java around 2000 and has never looked back since then.  She considers herself a polyglot and loves to continue learning new and better ways to solve real-life problems. She is an active tech community builder outside of her day job, and currently the President of the Chicago Java Users Group (CJUG), as well as a co-organizer for several IBM-sponsored meetup groups in the Greater Chicago area.