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

Posted in Apache Kafka, Big Data, Confluent, EAI, ESB, In Memory, Integration, Kafka Connect, Kafka Streams, KSQL, Messaging, Microservices, Middleware, Open Source, SOA, Stream Processing on March 7th, 2019 by Kai Wähner

Learn 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). Including best practices and anti-patterns, but also how these concepts and tools complement each other in an enterprise architecture.

This blog post shares my slide deck and video recording. I discuss the differences between Apache Kafka as Event Streaming Platform and integration middleware. Learn if they are friends, enemies or frenemies.

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MQTT + Apache Kafka => Video Recording from Kafka Summit Available

Posted in Apache Kafka, Internet of Things, Kafka Connect, KSQL, Machine Learning, MQTT on October 25th, 2018 by Kai Wähner

Just wanted to share the video recording of my talk at Kafka Summit SF 2018 about Kafka MQTT integration. Like all other talks, it is available for free on the Kafka Summit website. Please click the following link to get there:

MQTT Kafka Video

Processing IoT Data from End to End with MQTT and Apache Kafka

All further information about the integration of MQTT and Apache Kafka is available in another blog post. This includes Github examples, etc. Go here:

Apache Kafka + MQTT = End-to-End IoT Integration (Code, Slides, Video)

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Apache Kafka + MQTT = End-to-End IoT Integration (Code, Slides, Video)

Posted in Apache Kafka, Big Data, Confluent, EAI, Internet of Things, Kafka Connect, Messaging, Microservices, MQTT, Open Source, Stream Processing on September 10th, 2018 by Kai Wähner

Kafka and MQTT are two complementary technologies. Together they allows to build IoT end-to-end integration from the edge to the data center. No matter if on premise or in the public cloud. I talked about this topic at Kafka Summit SF in San Francisco in October 2018: “Processing IoT Data from End to End with MQTT and Apache Kafka“. The main goal was to discuss different Kafka-native approaches and their trade-offs for integrating Kafka and MQTT.

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Rapid Cloud Development with Spring Roo – Part 2: VMware Cloud Foundry

Posted in Application Server, Cloud, Java / JEE on August 12th, 2011 by Kai Wähner

Spring Roo is a tool to offer rapid application development on the Java platform. I already explained when to use it: http://www.kai-waehner.de/blog/2011/04/05/when-to-use-spring-roo.  Spring Roo supports two solutions for Cloud Computing at the moment: Google App Engine (GAE) and VMware Cloud Foundry. Both provide the Platform as a Service (PaaS) concept. This article will discuss the Cloud Foundry support of Spring Roo. GAE was discussed in part 1 of this article series (http://www.kai-waehner.de/blog/2011/07/18/rapid-cloud-development-with-spring-roo-%E2%80%93-part-1-google-app-engine-gae).

Deployment of a Cloud Foundry Application to the Cloud

The reference guide of Spring Roo gives an introduction at http://www.springsource.org/roo/guide?w=base-cloud-foundry, which describes the combination of Spring Roo and Cloud Foundry. In a nutshell, there is not much to do to deploy your (CRUD-) application in the Cloud Foundry cloud.

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