Confluent Archives - Page 4 of 4

Model Serving: Stream Processing vs. RPC / REST with Java, gRPC, Apache Kafka, TensorFlow

ByKai Waehner
9. July 2018

Machine Learning / Deep Learning models can be used in different ways to do predictions. Natively in the application or hosted in a remote model server. Then you combine stream processing with RPC / Request-Response paradigm. This blog post shows examples of stream processing vs. RPC model serving using Java, Apache Kafka, Kafka Streams, gRPC and TensorFlow Serving.

ByKai Waehner
15. May 2018

KSQL is the open source, Apache 2.0 licensed streaming SQL engine on top of Apache Kafka. This post shows a deep dive (slides + video recording) including its relation to Kafka Connect and Kafka Streams, concepts, architecture and deployment options.

ByKai Waehner
9. May 2018

I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache…

ByKai Waehner
13. February 2018

At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical…

ByKai Waehner
12. January 2018

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.

ByKai Waehner
27. October 2017

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

ByKai Waehner
27. October 2017

Apache Kafka + Kafka Streams + Apache Mesos = Highly Scalable Microservices. Mission-critical deployments via DC/OS and Confluent on premise or public cloud.

ByKai Waehner
4. October 2017

Apache Kafka + Kafka Streams to Produductionize Neural Networks (Deep Learning). Models built with TensorFlow, DeepLearning4J, H2O. Slides from JavaOne 2017.

ByKai Waehner
23. May 2017

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.

Technology Evangelist

Kai Waehner

Confluent

KSQL Deep Dive – The Open Source Streaming SQL Engine for Apache Kafka

Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem

Apache Kafka + Kafka Streams + Mesos = Highly Scalable Microservices

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

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

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

Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)

Global Field CTO

Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video

Deep Learning Example: Apache Kafka + Python + Keras + TensorFlow + Deeplearning4j

Demo Title