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Apache Kafka Meetup with Walmart Labs and Confluent

Join us to learn more about Kafka’s Streams API on January 18th from 6:00pm - 8:30pm, hosted by Walmart Labs in Sunnyvale. The address is 680 W California Ave, Sunnyvale, CA 94086. Please see the agenda and speaker information below. See you there!

Option to join via WebEx:

You can also join by accessing or using the Webex mobile app in the Google Play or Apple Store:

Meeting Number:[masked]

Meeting Password: 1111


6:00pm: Doors open

6:00pm - 6:30pm: Networking (food and beverages provided)

6:30pm - 7:15pm: Presentation #1: Jay Kreps, Confluent

7:15pm - 7:45pm: Presentation #2: Anil Kumar, Walmart Labs

7:45pm - 8:30pm: Additional Q&A and Networking

First Talk

Speaker: Jay Kreps, co-founder and CEO, Confluent

Bio: Jay Kreps is the CEO of Confluent, Inc., a company backing the popular Apache Kafka streaming platform. Prior to founding Confluent, he was formerly the lead architect for data infrastructure at LinkedIn. He is among the original authors of several open source projects including Project Voldemort (a key-value store), Apache Kafka (a streaming platform) and Apache Samza (a stream processing system).

Title: Apache Kafka, Stream Processing, and Microservices

Abstract: Microservices are rightfully associated with REST, but a lot of what a company does isn’t easily modeled by a blocking request and response. What is the right way to build this type of asynchronous service? This talk will show the relationship between this type of service and the emerging paradigm of stream processing, and will introduce Kafka's Streams API, a powerful distributed stream processing client that is part of Apache Kafka.

Second Talk

Speaker: Anil Kumar, lead engineer, Walmart Labs

Bio: Anil is Lead Engineer at Walmart Labs specializing in enabling stream processing, cloud computing, search services & information retrieval. Prior to working with the WalmartLabs team, Anil was Principal Software Architect for Adchemy, acquired by Walmart, Yahoo! & several startups. My background and interests are Real-Time Communications, Transport & application layer protocols, AdTech, Data Processing, Machine learning.

Title: Stream Processing for Real Time Retail

Abstract: I will expand on my earlier blog using Kafka, Stream processing for Retail and share updates on Kafka Streams & Apache Flink.

About WalmartLabs:
Through the innovative fusion of retail, social and mobile, @WalmartLabs is redefining Commerce for the largest retailer worldwide. We are a group comprised of technologists and business people in the industry, excited about the limitless opportunities that this next generation of Commerce will bring to billions of people around the globe, all in an effort to help them save money and live better. As the idea incubator for the world's largest global retailer, we don't just build products, we create experiences. @WalmartLabs taps into the talents of online retail visionaries to design, prototype and build technology-fueled products that bridge the gap between what's next and what's best. @WalmartLabs brings together dozens of engineers, scientists and product experts to execute a cutting edge vision. @WalmartLabs is the technical powerhouse behind Walmart Global eCommerce. We employ big data at scale - from machine learning, data mining and optimization algorithms, to modeling and analyzing massive flows of data from online, social, mobile and offline commerce.

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  • Franz D.

    Sorry got tied up at work. Since I recently attend a good meet up in DC on Kafka streaming, I will post the information. The meet up has the speaker's github, presentations, and gist. Might be helpful to some people who are interesting in steaming. Interesting walkthrough of where scala and streaming are appropriate due to architecture and users. Cheers.

    1 · January 20

    • Franz D.

      Take a look at the presentation as I am not there yet to answer that question. Scala was used during the processing streams with Kafka for speed and Spark, then broken out in parallel for python (data scientist section) , and then back to kafka with scala (speed). They started with Spark streaming and then move to kafka streaming. Interesting presentation and presenter.

      January 20

    • Ingo

      thank you very much for that info. I Appreciate this very much

      January 20

  • Ryan M.

    Can the ppt slides be made available?

    January 20

  • Geoff S.

    I just wanted to say thanks to the Kafka and Walmart folks for doing the meetup on Wednesday. I thought the presentation was totally appropriate to engage a target audience of a hundred or so members of our growing Kafka developer community with a decent slide deck and some straight forward Java samples. There's always going to be a small handful us who would've loved to stare at streams API code samples for two hours, especially those smaller (Scala?) examples Jay may have been alluding to, performance benchmarks, roadmap details, etc. but that would be way over the heads of those looking to get started with/evaluate using Streams. Also, the Walmart space was cool and audio/visual setup was pretty good. We even got a discount code for Kafka Summit and a sweet t-shirt, so actually it was quite a good meetup after all. See you next time!

    2 · January 20

  • Ingo

    a bit disappointed about the depth of the content. I was very high level and felt more like a marketing presentation than content you would expect at a meetup.

    January 19

    • Guru M.

      I agree with Ingo totally. Jay Kreps is a fine speaker and I was disappointed that he covered Kafka 101 as opposed to an in depth dive into Streams processing.

      January 19

    • Ingo

      I agree, there is always room for networking no questions asked. I am well beyond the 101 Stage and would have loved to see use cases around streams and more depth there to make a better judgement if it is something that is worth looking into for our own setup. If the meetup topic would have been Kafka 101 I would not complain at all.

      January 19

  • srinimurthy

    Good to hear from the horse's mouth, literally.

    January 18

  • Nathan Y.

    Is this going to be streamed/available online?

    4 · December 16

    • Samantha S.

      Actually, we were able to set up a livestream. Here are the details: You can also join by accessing http://walmart.webex....­ or using the Webex mobile app in the Google Play or Apple Store
      Meeting Number:[masked]
      Meeting Password: 1111

      9 · January 13

    • Jose M.


      January 18

  • Prabath S.


    Raj Nagalingam from LinkedIn is doing a talk on "Rolling out MFA for internal employees: challenges and the benefits" - on this 12th at the Silicon Valley IAM User Group.

    If you are interested please join

    Thanks & regards,

    January 9

  • Pooshan V.

    super excited about this meetup. Kafka, Confluent, Walmart... Thanks!

    2 · January 3

  • Jenn R.

    I have RSVP'd to have on my calendar, but can only watch a streamed event.

    2 · December 23

  • ΘИe Ä.

    Any free Wi-Fi?

    December 7

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