Orchestrate Kafka on Kubernetes & Kafka @DATEV

Name: Orchestrate Kafka on Kubernetes & Kafka @DATEV
Start: 2019-09-18T18:00:00+02:00
End: 2019-09-18T20:00:00+02:00
Location: DATEV Lab

Hosted By

Alice R.

Orchestrate Kafka on Kubernetes & Kafka @DATEV

Details

Details
Join us for an Apache Kafka® Meetup on Wednesday, September 18th from 6:00 pm kindly hosted by our friends at DATEV. The address, agenda and speaker information can be found below.

Agenda:
6:00pm: Doors open

6:00-6:30 pm: Pizza, drinks and networking

6:30 pm-7:15 pm: Orchestrate Apache Kafka® on Kubernetes - Carsten Muetzlitz, Systems Engineer, Confluent

7:15 pm-7:45 pm pm: Kafka@DATEV - Christian Weyermann

7:45 pm-8:00 pm: Additional Q&A and networking

Speaker One:
Carsten Muetzlitz, Systems Engineer, Confluent

Title:
Orchestrate Apache Kafka® on Kubernetes

Abstract:
Many organisations have adopted micro- services architectures to evolve their systems away from the slow and unresponsive shared-state architectures of the past. Apache Kafka is often chosen to be the backbone for these event driven services.
While the main drivers for adopting micro-services architectures are to improve speed and agility for the development of applications, it also inherently increases operational complexity due to its distributed nature. To deal with that, many have encountered the need for systems that help automate and manage their micro-services deployment; adopting container technologies like Docker and orchestration frameworks like Kubernetes along the way.

Speaker Two: Christian Weyermann, DATEV
Talk: Kafka@DATEV

Abstract:
Wir werden einen Überblick über die Nutzung von Kafka in der DATEV geben. Im 1.Teil wird ein allgemeiner Überblick gegeben, wobei auf Projekte und auch den betrieblichen Aspekt eingegangen wird, während im 2.Teil die Nutzung in einem konkreten Projekt gezeigt wird.

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Hear from Confluent specialists, customers and partners all about Kafka & Event Streaming Platforms. Also take the opportunity to meet other customers and discuss and share experiences.