microservices Archives - Page 2 of 4

Confluent Operator - A Kafka Operator for Kubernetes

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Kafka Operator for Kubernetes – Confluent Operator to establish a Cloud-Native Apache Kafka Platform

ByKai Waehner
29. July 2019

Kafka Operator for Kubernetes – Confluent Operator to establish a Cloud-Native Apache Kafka Platform on Kubernetes (OpenShift, CloudFoundry, Hybrid Cloud).

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3 minute read

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

ByKai Waehner
7. March 2019

This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).

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
18. February 2018

I did some talks about “Apache Kafka + Apache Mesos = Highly Scalable Microservices” in the last months……

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

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
5. April 2017

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.

ByKai Waehner
24. February 2017

Case Study: How to Move from a (Middleware) Monolith to Cloud, Containers and Microservices leveraging Docker, Cloud Foundry, Kubernetes, Consul, Hystrix, API Management, and others cool things.

ByKai Waehner
3. November 2016

Comparison of Open Source IoT Integration Frameworks such as Eclipse Kura (+ Apache Camel), Node-RED, Flogo, Apache Nifi, StreamSets, and others… (slide and video recording)

Technology Evangelist

Kai Waehner

microservices

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

Visualisation from my Apache Kafka + Mesos Session at OOP 2018

Apache Kafka + Kafka Streams + Mesos = Highly Scalable Microservices

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

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

Global Field CTO

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

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

How Apache Kafka and Flink Power Event-Driven Agentic AI in Real Time

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