Mainframe Integration, Offloading and Replacement with Apache Kafka

« Kafka Summit Americas 2021

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.

Presenter

Kai Waehner

Confluent

Kai is Global Field CTO at Confluent. His areas of expertise include big data analytics, machine learning, messaging, integration, microservices, the Internet of Things, stream processing and blockchain. He is also the author of technical articles, gives talks at international conferences and shares his experiences of new technologies in his blog (www.kai-waehner.de/blog).

Mainframe Integration, Offloading and Replacement with Apache Kafka

Presenter

Kai Waehner

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