Kafka In the Cloud: Why It’s 10x Better With Confluent | Get free eBook

Mainframe Integration, Offloading and Replacement with Apache Kafka

Legacy migration is a journey. Mainframes cannot be replaced in a single project. A big bang will fail. This has to be planned long-term.

Mainframe offloading and replacement with Apache Kafka and its ecosystem can be used to keep a more modern data store in real-time sync with the mainframe, while at the same time persisting the event data on the bus to enable microservices, and deliver the data to other systems such as data warehouses and search indexes.

This session walks through the different steps some companies are already gone through. Technical options like Change Data Capture (CDC), MQ, and third-party tools for mainframe integration, offloading and replacement are explored.


Kai Waehner

Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Cloud / Hybrid Architectures, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is a regular speaker at international conferences such as Kafka Summit, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog). Contact and references: contact@kai-waehner.de / @KaiWaehner / www.kai-waehner.de / LinkedIn (https://www.linkedin.com/in/kaiwaehner).