Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem
Kai Waehner
At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical…
Apache Kafka + Kafka Streams + Mesos = 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 Kafka + Machine Learning => Confluent Blog Post and Github Project
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
Apache Kafka + Kafka Streams + Mesos / DCOS = Scalable Microservices
Apache Kafka + Kafka Streams + Apache Mesos = Highly Scalable Microservices. Mission-critical deployments via DC/OS and Confluent on premise or public cloud.
Deep Learning in Real Time with TensorFlow, H2O.ai and Kafka Streams (Slides from JavaOne 2017)
Apache Kafka + Kafka Streams to Produductionize Neural Networks (Deep Learning). Models built with TensorFlow, DeepLearning4J, H2O. Slides from JavaOne 2017.
Kafka Streams + H2O.ai + TensorFlow (Video Recording / Live Demo)
I do a lot of presentations these days at meetups and conferences about how to leverage Apache Kafka and Kafka Streams to apply analytic models (built with H2O, TensorFlow, DeepLearning4J and other frameworks) to scalable, mission-critical environments. As many attendees have asked me, I created a video recording about this talk (focusing on live demos).
Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)
Apache Kafka Streams to build Real Time Streaming Microservices. Apply Machine Learning / Deep Learning using Spark, TensorFlow, H2O.ai, etc. to add AI. Embed Kafka Streams into Java App, Docker, Kubernetes, Mesos, anything else.
Why I Move (Back) to Open Source for Messaging, Integration and Stream Processing
After three great years at TIBCO Software, I move back to open source and join Confluent, the company behind the open source project Apache Kafka to build mission-critical, scalable infrastructures for messaging, integration and stream processsing. 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.
Visual Analytics + Open Source Deep Learning Frameworks
Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural…
Agile Cloud-to-Cloud Integration with iPaaS, API Management and Blockchain
Agile Cloud-to-Cloud Integration with iPaaS, API Management and Blockchain. Scenario use case using IBM’s open source Hyperledger Fabric on BlueMix, TIBCO Cloud Integration (TCI) and Mashery.
