Kafka on Kubernetes: Does it really have to be “The Hard Way”?

Details
Join us for our next Sydney Apache Kafka meetup on October 17th from 6:00pm hosted by Macquarie Group. The agenda, venue and speaker information can be found below. See you there!

6:00pm - Entry, networking, food/drink
6:30pm - Simon Aubury, ThoughtWorks
7:00pm - Viktor Gamov, Confluent
8:00pm - Additional Networking and Q&A
8:30pm - Doors close

Speaker:

Speaker:
Viktor Gamov

Title:
Kafka on Kubernetes: Does it really have to be “The Hard Way”?

Abstract:
When it comes to choosing a distributed streaming platform for real-time data pipelines, everyone knows the answer: Apache Kafka! And when it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. However, with all great things, the devil is truly in the details. While Kubernetes does provide all the building blocks that are needed, a lot of thought is required to truly create an enterprise-grade Kafka platform that can be used in production. In this technical deep dive, Michael and Viktor will go through challenges and pitfalls of managing Kafka on Kubernetes as well as the goals and lessons learned from the development of the Confluent Operator for Kubernetes.

Bio:
Viktor Gamov is a Developer Advocate at Confluent, the company that makes an event streaming platform based on Apache Kafka.
Back in his consultancy days, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies.

He enjoys helping architects and developers to design and develop low latency, scalable and highly available distributed systems.
He is a professional conference speaker on distributed systems, streaming data, JVM and DevOps topics, and is regular on events including JavaOne, Devoxx, OSCON, QCon, and others.
He co-authored O’Reilly’s «Enterprise Web Development.»
He blogs at http://gamov.io and co-hosts DevRelRad.io.
Follow Viktor on Twitter @gamussa, where he posts there about gym life, food, open source, and, of course, Kafka and Confluent!

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Speaker:
Simon Aubury

Title : Machine learning & Kafka KSQL stream processing

Continuous household power monitoring with a trained model to alert on unexpected power usage for time of day. Building a ML UDF for KSQL and using Apache Kafka to alert me via our Google Home when I’ve left the iron running .

Bio : Simon Aubury is a Principal Data Engineer at ThoughtWorks. He loves building enterprise streaming applications and has worked on Kafka platforms for banks, insurance & real-time vehicle tracking.

If you would like to speak or host our next event please let us know! community@confluent.io
NOTE: We are unable to cater for any attendees under the age of 18. Please do not sign up for this event if you are under 18.