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Sunday, January 27 • 10:00am - 10:50am
Composable microservices for streaming analytics

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It is common for modern applications to perform near real-time processing of high volume streaming data. As Rui and Michael will introduce in this talk, a useful architectural pattern is the microservice based stream composability. By breaking monolithic applications into single-concern microservices and using distributed computation frameworks, we gain the ability to create robust and complex systems from simple components while maintaining scalability properties.
In this talk Rui and Michael will also present patterns and examples on how to build cloud-ready streaming analytics and machine learning pipelines for common solutions such as anomaly detection, using microservices and composable streams from scratch.

Speakers
avatar for Michael McCune

Michael McCune

Principal Software Engineer, Red Hat, Inc.
Michael McCune is a software developer in Red Hat's emerging technology group. He is an active contributor to several radanalytics.io projects, as well as being a core reviewer for the OpenStack API Working Group. Since joining Red Hat four years ago, he has been developing and deploying... Read More →
avatar for Rui Vieira

Rui Vieira

Red Hat
Rui is a Software Engineer at Red Hat working on Data Science, Apache Spark and Spark Streaming applications.


Sunday January 27, 2019 10:00am - 10:50am
E105
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Attendees (20)