Apache Kafka vs. ESB / ETL / MQ
Kai Waehner
Read why enterprises leverage the open source ecosystem of Apache Kafka for successful integration of different legacy and modern applications instead of ESB, ETL or MQ.
Browsing Category
Confluent
50 posts
Model Serving: Stream Processing vs. RPC / REST with Java, gRPC, Apache Kafka, TensorFlow
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.
KSQL Deep Dive – The Open Source Streaming SQL Engine for Apache Kafka
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.
Deep Learning at Extreme Scale with the Apache Kafka Open Source Ecosystem
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache…
Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem
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.
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.
