Bernd Rucker

APRIL 20, 2021

Camunda Cloud Architecture Blog Post Series?—?Part One of your first tasks would be to sketch the basic architecture of your solution, and this blog post will guide you through some important early questions such as how to connect the workflow engine Zeebe with your application or with remote systems?

Architecture 63

Architecture Engineering Cloud Programming 63

Bernd Rucker

FEBRUARY 8, 2022

For a long time, we have advocated for an architecture that runs the Camunda workflow engine embedded into your own Java application , preferably via the Camunda Spring Boot Starter. In today’s blog post I want to explain the reasoning behind this move and why we recommend a remote engine.

Engineering 52

Engineering Architecture Programming Cloud 52

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®.

Cloud 94

Cloud Data Applications Windows 94

Confluent

MARCH 12, 2019

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream.

Cloud 111

Cloud Applications Groups Examples 111

Confluent

JUNE 11, 2019

For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. Continuous deployment of event streaming applications in Spring Cloud Data Flow. java -jar spring-cloud-dataflow-shell-2.1.0.RELEASE.jar.

Continuous Delivery 85

Continuous Delivery Applications Cloud Construction 85

Bernd Rucker

NOVEMBER 18, 2019

How and why to bring workflow to Apache Kafka In the last year I had a lot of contact with the community around Kafka and Confluent (the company behind Apache Kafka)?—?a Some have Kafka in production already, at the heart of their company. a community that is really awesome.

Microservices 8

Microservices Architecture Scalability Course 8

Confluent

JULY 24, 2019

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka ® project that I’ve worked on posed: how is data flowing through my distributed system? Distributed tracing with Apache Kafka and Jaeger. Example of a Kafka project with Jaeger tracing. What does this all mean?

System 54

System Applications Examples Storage 54