What we're about

New to Apache Kafka®? Start with these free resources: https://cnfl.io/learn-ak-mu

This is an open community - if you want to present, host or contribute in other ways follow this link (http://cnfl.io/get-involved-mu (https://www.confluent.io/community/get-involved/)) - first time speakers welcome!

This meetup is for your fellow event streaming enthusiasts!

The topics discussed at our events are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!

Code of conduct: https://cnfl.io/code-of-conduct-welcome

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

*The Meetup Hub*

Find recordings of previous meetups around the world and see upcoming dates for many more at the Meetup Hub

https://cnfl.io/meetup-hub-desc

*Ask The Community:*

-Forum;

This is a place for all the community to ask the tough questions, share knowledge and win badges :D http://cnfl.io/forum-desc

-Slack;

Join tens of thousands of community members in this community cross-collaboration tool, exchanging thousands of messages every month:

cnfl.io/slack

*Confluent Community Catalysts*

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

https://cnfl.io/nominate-desc

*Confluent Training and Certification discounts!*

Learn Apache Kafka® and become Confluent Certified (with 20% off your certification exam with the code MU2021CERT): https://cnfl.io/train-cert

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Also here’s a gift: Get $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/mu-try-cloud

If you’re already a user, you can get an extra $60 on top with the code: CC60COMM

Head to http://cnfl.io/get-involved-mu if you have any questions, ideas, concerns or if you want to contribute in some way!

Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided here or at any of our Meetups.

Upcoming events (2)

Walk through Confluent Developer’s Inside ksqlDB course LIVE

Needs a location

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]
Password:[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

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Speaker:
Mukta Kachhara, Sr. Technical Trainer, Confluent

Title:
Inside ksqlDB

Abstract:
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.

Bio:
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.

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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.

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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

Link visible for attendees

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!

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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

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Speaker:
Rema Subramanian

Bio:
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.

Title:
Disaster Recovery Options Running Apache Kafka in Kubernetes

Abstract:
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.

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

Past events (42)

Photos (1)

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