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Matthew Wagoner | Updated March 20, 2019 - Published February 20, 2019
In many of today’s cloud-native applications, data is generated as huge volumes and is used to link highly distributed services. Apache Kafka provides a system to stream messages at scale, but the systems that receive those messages must be able to process and act on individual records as well.
With an event-driven architecture built on OpenWhisk, you can write functions that respond to messages from queues and execute logic to process or send data to other systems in a distributed architecture.
In this live webcast, you’ll see the OpenWhisk code that can handle the manage this stream of data records.
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