Docker Archives - Kai Waehner

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Service Mesh and Cloud-Native Microservices with Apache Kafka, Kubernetes and Envoy, Istio, Linkerd

ByKai Waehner
24. September 2019
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This blog post takes a look at cutting edge technologies like Apache Kafka, Kubernetes, Envoy, Linkerd and Istio to implement a cloud-native service mesh for a scalable, robust and observable microservice architecture.

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).

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
13. March 2018

I presented at JavaLand 2018 in Brühl recently. A great developer conference with over 1800 attendees. The location…

ByKai Waehner
13. March 2018

I spoke at Voxxed Zurich 2018 about Apache Kafka as Event-Driven Open Source Streaming Platform. The talk includes…

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
1. May 2017

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.

ByKai Waehner
23. April 2017

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.

Technology Evangelist

Kai Waehner

Docker

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

Rethinking Stream Processing with Apache Kafka, Kafka Streams and KSQL

Video Recording – Apache Kafka as Event-Driven Open Source Streaming Platform (Voxxed Zurich 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)

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

Global Field CTO

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

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

Apache Flink: Overkill for Simple, Stateless Stream Processing and ETL?

Virgin Australia’s Journey with Apache Kafka: Driving Innovation in the Airline Industry