Rethinking Stream Processing with Apache Kafka, Kafka Streams and KSQL

Posted in Apache Kafka, Big Data, Docker, Java / JEE, Kafka Streams, KSQL, Kubernetes, Messaging, Microservices, Open Source, Stream Processing on March 13th, 2018 by admin

I presented at JavaLand 2018 in Brühl recently. A great developer conference with over 1800 attendees. The location is also awesome! A theme park: Phantasialand. My talk: “New Era of Stream Processing with Apache Kafka’s Streams API and KSQL“. Just want to share the slide deck…

Kai Speaking at JavaLand 2018 about Kafka Streams and KSQL

Abstract

Stream Processing is a concept used to act on real-time streaming data. This session shows and demos how teams in different industries leverage the innovative Streams API from Apache Kafka to build and deploy mission-critical streaming real time application and microservices.

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Visualisation from my Apache Kafka + Mesos Session at OOP 2018

Posted in Apache Kafka, Apache Mesos, Big Data, Kafka Connect, Kafka Streams, KSQL, Kubernetes, Microservices, Open Source on February 18th, 2018 by Kai Wähner

I did some talks about “Apache Kafka + Apache Mesos = Highly Scalable Microservices” in the last months… See my blog post with notes and slides from MesosCon Europe.

I did an updated version at OOP 2018 conference in Munich. The conference organizers invited some great people who do live drawings during some of the talks. The result of the live whiteboard drawing of my session is really awesome. Take a look:

Whiteboard Drawing Kafka Streams Mesos Microservices

Thanks to the guys from Remarker. Great visualisation! Love it…

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Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem

Posted in Analytics, Apache Kafka, Apache Spark, Big Data, Business Intelligence, Confluent, Deep Learning, Kafka Streams, KSQL, Kubernetes, Machine Learning, Microservices, Open Source, Stream Processing on February 13th, 2018 by Kai Wähner

At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical microservices with the Apache Kafka ecosystem and Deep Learning frameworks like TensorFlow, DeepLearning4J or H2O. I want to share the updated slide deck and discuss a few updates about newest trends, which I incorporated into the talk.

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Apache Kafka + Kafka Streams + Mesos = Highly Scalable Microservices

Posted in Apache Kafka, Apache Mesos, Big Data, Confluent, Docker, Java / JEE, Kafka Streams, KSQL, Microservices, Middleware, Open Source, Stream Processing on January 12th, 2018 by Kai Wähner

My latest article about Apache Kafka, Kafka Streams and Apache Mesos was published on Confluent’s blog:

Apache Mesos, Apache Kafka and Kafka Streams for Highly Scalable Microservices

This blog post discusses how to build a highly scalable, mission-critical microservice infrastructure with Apache Kafka, Kafka Streams, and Apache Mesos respectively in their vendor-supported platforms from Confluent and Mesosphere.

Apache Mesos, Apache Kafka and Kafka Streams for Highly Scalable Microservices

Have fun reading it and let me know if you have any feedback…

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Apache Kafka + Machine Learning => Confluent Blog Post and Github Project

Posted in Apache Kafka, Big Data, Confluent, Deep Learning, Kafka Streams, KSQL, Machine Learning, Open Source, Stream Processing on October 27th, 2017 by Kai Wähner

I am happy that my first official Confluent blog post was published and want to link to it from by blog:

How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka

The post explains in detail how you can leverage Apache Kafka and its Streams API to deploy analytic models to a lightweight, but scalable, mission-critical streaming appilcation.

Apache Kafka Ecosystem for Machine Learning

Github Examples for Apache Kafka + Machine Learning

If you want to take a look directly at the source code, go to my Github project about Kafka + Machine Learning. It contains several examples how to combine Kafka Streams with frameworks like TensorFlow, H2O or DeepLearning4J.

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Apache Kafka + Kafka Streams + Mesos / DCOS = Scalable Microservices

Posted in Apache Kafka, Apache Mesos, Big Data, Confluent, Docker, Hadoop, Java / JEE, Kafka Connect, Kafka Streams, KSQL, Kubernetes, Microservices, Open Source on October 27th, 2017 by Kai Wähner

I had a talk at MesosCon 2017 Europe in Prague about building highly scalable, mission-critical microservices with Apache Kafka, Kafka Streams and Apache Mesos / DCOS. I would like to share the slides and a video recording of the live demo.

Abstract

Microservices establish many benefits like agile, flexible development and deployment of business logic. However, a Microservice architecture also creates many new challenges. This includes increased communication between distributed instances, the need for orchestration, new fail-over requirements, and resiliency design patterns.

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Deep Learning in Real Time with TensorFlow, H2O.ai and Kafka Streams (Slides from JavaOne 2017)

Posted in Analytics, Apache Kafka, Big Data, Business Intelligence, Confluent, Deep Learning, Docker, Java / JEE, Kafka Streams, Machine Learning, Microservices, Open Source, Stream Processing on October 4th, 2017 by Kai Wähner

Early October… Like every year in October, it is time for JavaOne and Oracle Open World in San Francisco… I am glad to be back at this huge event again. My talk at JavaOne 2017 was all about deployment of analytic models to scalable production systems leveraging Apache Kafka and Kafka Streams. Let’s first look at the abstract. After that I attach the slides and refer to further material around this topic.

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Why I Move (Back) to Open Source for Messaging, Integration and Stream Processing

Posted in Analytics, API Management, Big Data, Blockchain, Cloud, Cloud-Native, Docker, ESB, Hadoop, Internet of Things, Java / JEE, Machine Learning, Microservices, Middleware, SOA on May 1st, 2017 by Kai Wähner

After three great years at TIBCO Software, I move back to open source and join Confluent, a company focusing on the open source project Apache Kafka to build mission-critical, scalable infrastructures for messaging, integration and streaming analytics. Confluent is a Silicon Valley startup, still in the beginning of its journey, with a 700% growing business in 2016, and is exjustpected to grow significantly in 2017 again.

In this blog post, I want to share why I see the future for middleware and big data analytics in open source technologies, why I really like Confluent, what I will focus on in the next months, and why I am so excited about this next step in my career.

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Cloud Native Middleware Microservices – 10 Lessons Learned (O’Reilly Software Architecture 2017, New York)

Posted in API Management, Cloud, Cloud-Native, Docker, EAI, ESB, Microservices, Middleware, SOA on April 5th, 2017 by Kai Wähner

I want to share my slide deck and video recordings from the talk “10 Lessons Learned from Building Cloud Native Middleware Microservices” at O’Reilly Software Architecture April 2017 in New York, USA in April 2017.

Abstract
Microservices are the next step after SOA: Services implement a limited set of functions; services are developed, deployed, and scaled independently; continuous delivery automates deployments. This way you get shorter time to results and increased flexibility. Containers improve things even more, offering a very lightweight and flexible deployment option.

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