Designing Fast Data Application Architectures

by Gerard Maas, Stavros Kontopoulos, Sean Glover

Released June 2018

Publisher(s): O'Reilly Media, Inc.

ISBN: 9781492038047

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Book description

Today’s digital companies demand real-time insights and immediate action for everything from purchase to fulfillment, recommendation, and more. As a result, many organizations are adopting fast data applications to accelerate the value they extract from data as it flows into the system. With this practical ebook, you’ll learn the common architectural patterns that form the foundation of successful fast data deployments.

Engineers from Lightbend identify the key characteristics of fast data architectures, separate them into functional blocks, and show you how to implement those functions using components like those in the SMACK stack—Spark, Mesos, Akka, Cassandra, and Kafka, as well as others. Architects will learn how to choose, combine, and run SMACK stack technologies to build resilient, scalable, and responsive systems that your company requires.

This ebook examines:

The anatomy of fast data applications: the application model, streaming data sources, processing engines, and data sinks
Functional composition of the SMACK stack and extensions
The event backbone that connects all the major components of a fast data platform together
Compute engines for transforming data into valuable insights
Storage systems that form the transition between the fast data domain and client applications
Patterns you can use in the data serving layer, including data-driven microservices
Container orchestrators in the substrate layer that provide resources to services, frameworks, and applications