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Building Resilient and Evolutionary Data Microservices [Video]

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Building Resilient and Evolutionary Data Microservices [Video]

Writing resilient data microservices with Spring Cloud Stream and Spring Cloud Dataflow requires some knowledge of certain approaches and supporting patterns.

· Integration Zone
Free Resource

Today’s data climate is fast-paced and it’s not slowing down. Here’s why your current integration solution is not enough. Brought to you in partnership with Liaison Technologies.

How can we build data pipelines that are resilient to change? Data usually outlives application code, and we have to be prepared to deploy streams that can cope with the evolution of that data that is in motion. This talk will discuss the approach and supporting patterns to write resilient data microservices with Spring Cloud Stream and Spring Cloud Dataflow. We will discuss the role of a centralized Schema repository and how can we work with different data models and protocols to achieve schema evolution. A centralized schema service will also help us understand what kind of data is currently being served and consumed by the different parts of our distributed system.

The presentations slides can be found here. Additionally, samples for the presentation can be found here.

Is iPaaS solving the right problems? Not knowing the fundamental difference between iPaaS and iPaaS+ could cost you down the road. Brought to you in partnership with Liaison Technologies.

Topics:
spring cloud stream ,spring cloud data flow ,resilience ,microservices ,integration

Published at DZone with permission of Pieter Humphrey, DZone MVB. See the original article here.

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