An Intro to Apache Kafka®, Infinite Storage and Tuning Kafka
Details
Hello Kafkateers!
In order to do our part to help flatten the curve of the spread of COVID-19, we are moving all of our meetups online for the time being. Please find the details to join this meetup below.
Make sure to join our Community Slack on the #events channel (use a thread for this meetup) for live discussion. Please note: it will take a few hours for the invite to go through, so please join Slack now! https://launchpass.com/confluentcommunity
Thank you to Home Depot for supporting this move online.
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Join Zoom Meeting
https://quotecenter.zoom.us/j/391606830
Meeting ID: 391 606 830
This meetup will be recorded and these videos could be posted onto meetup.com and beyond
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Meeting ID: 391 606 830
Find your local number: https://quotecenter.zoom.us/u/aefdXuxpzr
Agenda:
5:45pm-6:00pm: Online Networking (feel free to BYOB!!)
6:00pm-6:40pm: Nikhil Bhatia, Confluent
6:40pm-7:20pm: Gwen Shapira, Confluent
7:20pm-8:00pm: Additional Q&A + Networking
Talk 1: Nikhil Bhatia
Bio: Nikhil is Software engineer at Confluent in the Kafka storage team. He was with Microsoft for thirteen years building managed service for Kubernetes on Azure and Kubernetes upstream projects. He also worked in Azure Host team securing virtual machines, aggregation layer for Bing Search back-end and application compatibility for Windows Operating system. Prior to Microsoft he was at Tejas Networks building optical networking switches and routers. He has a B.Tech in Electrical engineering from Indian Institute of Technology, Roorkee and an MS in Electrical Engineering from the University of Southern California, Los Angeles.
Title: Kafka Infinite Data Retention
Abstract: Kafka is highly efficient publish / subscribe messaging system, this talk provides an initial introduction to concepts of Kafka, followed by discussing the design of Tiered Storage feature allows for infinite Kafka data retention in Confluent Platform, improving scalability, cost efficiency, and easier to run operationally.
Talk 2: Gwen Shapira
Bio:
Gwen is a principal data architect at Confluent helping customers to achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating microservices, relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, “Hadoop Application Architectures”, and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn’t coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
Title: Tuning Kafka Clients for fun and profit
Abstract:
How does one get the most throughput and lowest latency out of the fewest brokers? How much throughput can you get from a single partition? The Confluent team decided to take Kafka (in Confluent Cloud) to its limits and find out what is possible. In this talk we’ll share our findings. Attendees will learn how to optimally tune Kafka clients and get the most out of their Kafka cluster.
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Online Meetup Etiquette:
•Please unmute yourself when you have a question.
•Make sure you’re on gallery view so you can see all of your peers.
•Unless speaker specifies otherwise, please hold your questions until the end of the presentation.
If you would like to speak or host our next event please let us know! community@confluent.io
