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This Meetup Group will focus on the Apache Kafka® technology and its ecosystem, also allowing its members to interact and share their use cases, do and don't, how to's, etc.

We will also hear about the Confluent Platform and topics like Kafka's Connect API and streaming data pipelines, Kafka’s Streams API and stream processing, Security, Microservices and anything else related to Apache Kafka.

If you want to hear about a particular topic please let us know and we will try to find the best possible speaker. We are also very open to this being an interactive platform for the community, so if you would like to participate in other ways like speaking, hosting, writing a blog, etc, please let us know on community@confluent.io

Upcoming events (1)

An introduction to Apache Kafka® and beyond at Ticketmaster!

Ticketmaster Scottsdale

Join us for an Apache Kafka® meetup on April 23rd from 6pm, hosted at Ticketmaster in Scottsdale, AZ. The address, agenda and speaker information can be found below. See you there! ----- Agenda: 6:00pm: Doors open 6:00pm - 6:30pm: Pizza, Drinks and Networking 6:30pm - 7:15pm: Pooja Rallabhandi, Ticketmaster 7:15pm - 8:00pm: Tim Berglund, Confluent 8:00pm - 8:30pm: Additional Q&A & Networking ----- Talk 1: Speaker: Pooja Rallabhandi Bio: Pooja Rallabhandi is a software engineer at Ticketmaster specializing In web application and stream-based application development. Pooja is a big fan of Kafka and loves to provide optimized solutions for event driven applications using Kafka streams. She has completed her Masters in Software Engineering at Arizona State University. Pooja is passionate about connecting with women in technology and build stronger relationships that can help support learning and growth. In her leisure time, she loves visiting new places, hiking and playing badminton. Title: Introduction to Kafka Abstract: Apache Kafka is a high-performance distributed streaming platform. It is a scalable publish-subscribe messaging system that helps in building real-time applications with simple data pipelines that transform and react to the incoming streams of data. Over the past years big-data companies have struggled with low-latency ingestion of large volumes of event data and the demand to be continuously reactive as the data arrives. Existing message queues are not an ideal solution when applications require high-throughput and fault-tolerant publish-subscribe messaging system. Kafka provides a platform for developing applications that react to streams of data to do real-time analytics, transform, aggregate real-time data flows and perform complex event processing. In this session my aim is to introduce the basic concepts of Kafka and Kafka-streams and provide use-cases where Kafka has proven to be a better solution for building event-driven applications. Talk 2: Speaker: Tim Berglund Bio: Tim is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems. He is a co-host of the http://devrelrad.io podcast, writes at https://cnfl.io/blog-tim-berglund and lives in Littleton, CO, USA with the wife of his youth. Title: Dissolving the Problem: Kafka is more ACID Than Your Database Abstract: It has become a truism in the past decade that building systems at scale, using non-relational databases, requires giving up on the transactional guarantees afforded by the relational databases of yore, ACID transactional semantics are fine, but we all know you can’t have them all in a distributed system. Or can we? In this talk, I will argue that by designing our systems around a distributed log like Kafka, we can, in fact, achieve ACID semantics at scale. We can ensure that distributed write operations can be applied atomically, consistently, in isolation between services, and of course with durability. An elusive set of properties becomes relatively easy to achieve with the right architectural paradigm underlying the application. ----- Don't forget to join our Community Slack Team! https://launchpass.com/confluentcommunity If you would like to speak or host our next event please let us know! [masked] NOTE: We're unable to cater for attendees under the age of 18. Please do not sign up for this event if you're under 18.

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