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*****Message regarding existing Kafka Group in the area (https://www.meetup.com/Salt-Lake-City-Apach... (https://www.meetup.com/Salt-Lake-City-Apache-Kafka-Meetup/)).

We have been keen to put on some Kafka events in Salt Lake City for some time, we have contacted the owner multiple times to see if we can help or make something happen. It has now been roughly a year since it opened with no activity or responses. If anyone here is able to contact the owner of the group, we’re more than happy to combine these groups into one and collaborate as a community, however we decided to open this group in order to accelerate upcoming events!

In that light, we are interested in running an open and collaborative group, so if you have an interest in contributing through talks, hosting and anything else, we would be grateful if you reach out directly to Community@Confluent.io

Thanks all!



If you want to present, host or contribute in another way, see our rules of engagement ( https://cnfl.io/roe-desc ) and feel free to reach out to community@confluent.io - first time speakers welcome!

This Meetup is all about the Apache Kafka® ecosystem.

That includes Confluent Platform, Confluent Cloud, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and anything else you can name that is related to Kafka! (Code of conduct: https://cnfl.io/coc-desc)

Beyond this group, we also have the following resources to help you learn and develop your skills! See them here:

*Find Kafka Intros at the Meetup Hub*

Find recordings of Kafka Introduction meetups (and many more) at our online meetup hub



Tens of thousands of community members are collaborating with thousands of messages every month, join them:


*Confluent Developer*

All the resources you need to learn Kafka (sign up to take advantage of new content being added):


*Confluent Community Catalysts*

Nominate the next Community Catalysts (MVPs) and find out more here:


*Confluent Training and Certification discounts!*

Learn Apache Kafka® and become Confluent Certified! Get 20% off training (MU2020TRAIN) and 20% your certification exam (MU2020CERT) (valid until 31 Dec 2020):


Also here’s a gift: $200 worth of free Confluent Cloud usage every month for your first 3 months (that could be $600 worth, without spending a single penny) (Ts & Cs apply): http://cnfl.io/cloud-desc

Remember to contact community@confluent.io if you have any questions, ideas, concerns or if you want to contribute in some way!

Upcoming events (2)

Walk through Confluent Developer’s Inside ksqlDB course LIVE

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Hello Streamers!

This event is part of the Confluent Developer LIVE series: This means that the event is a real-time run-through of a Confluent Developer course exercise, by a professional trainer.

And of course, as with all Confluent Community Events, it is free, purely technical, and educational.

So, join us on Monday, June 27th at 11:00 am MDT for this free hands-on training with a walkthrough exercise from the Inside ksqlDB course on Confluent Developer.

This walkthrough will require Confluent Cloud, but will cost you nothing (you won’t even have to input your credit card). We will walk you through the signup process, but if you want to get prepared, you can join Confluent Cloud now and make the most of our promo code (CC60COMM) for new and current Cloud users (promo codes can be added in the payments page, once you’ve signed up)!!

******TO ATTEND THIS EVENT:*******
Join this meetup by going to the Zoom app and entering the following details:
Meeting ID:[masked]

******EVENT DETAILS*******
Agenda (time below is in MDT):
11:00 AM - about 11:50 AM
-Presentation on Inside ksqlDB

About 11:50AM-12:30PM
-Interactive discussion of one or more concrete scenario problems
-Demo & hands-on lab
-Q&A, additional discussion, time permitting

Mukta Kachhara, Sr. Technical Trainer, Confluent

Inside ksqlDB

Learn how to simplify stream processing with ksqlDB. A typical streaming pipeline consists of source databases and apps creating events that feed into Apache Kafka via connectors, a stream processor that filters and aggregates the events, and finally storage facilities that store the events for access by analytics engines. With ksqlDB, many of those external parts have been consolidated into the tool itself, offering a single solution for collecting streams of data, enriching them, and serving queries on new derived streams and tables.

Mukta Kachhara is a senior technical instructor at Confluent. She also work as course champion for Confluent Stream processing using Apache Kafka Streams and ksqlDB. She has many years of experience working on distributed trader voice communication systems.

Online Meetup Etiquette:
•Please use the “Raise Hand” button and Zoom chat feature to ask questions during the presentation!
•Please raise your hand when you have a question and you will be unmuted.
•Please arrive on time as Zoom meetings can become locked for many reasons. We will begin promptly.

Don't forget to join our Forum and Community Slack to ask any follow-up questions https://cnfl.io/meetup-questions

If you would like to speak or host our next event please let us know! community@confluent.io

Disaster Recovery Options Running Apache Kafka in Kubernetes

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Join us for an Apache Kafka meetup on July 7th at 4 pm MST. The agenda and speaker information can be found below. Join the Community Slack and Forum to ask any follow-up questions!

Agenda in Mountain Standard Time:
4:00 pm - 4:05 pm: Networking
4:05 pm - 4:50 pm: Rema Subramanian, Confluent
4:50 pm - 5:00 pm: Q&A

Rema Subramanian

Rema Subramanian is currently a Customer Success Technical Architect at Confluent. She enjoys everything related to architecture, engineering, and data. She has a soft corner for Healthcare tech given her experience with it in the past but is usually looking for cool use cases to solve in any industry.

Disaster Recovery Options Running Apache Kafka in Kubernetes

Active-Active, Active-Passive, and stretch clusters are hallmark patterns that have been the gold standard in Apache Kafka® disaster recovery architectures for years. Moving to Kubernetes requires unpacking these patterns and choosing a configuration that allows you to meet the same RTO and RPO requirements.

In this talk, we will cover how Active-Active/Active-Passive modes for disaster recovery have worked in the past and how the architecture evolves with deploying Apache Kafka on Kubernetes. We'll also look at how stretch clusters sitting on this architecture give a disaster recovery solution that's built-in!

Armed with this information, you will be able to architect your new Apache Kafka Kubernetes deployment (or retool your existing one) to achieve the resilience you require.


If you are interested in speaking or hosting our next event please let us know at [masked].

Past events (44)

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