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Design Patterns for Cloud Native Applications: Patterns in Practice Using APIs, Data, Events, and Streams by Kasun Indrasiri

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Description

With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems

About the Author
Kasun Indrasiri is a software architect with extensive experience in microservices, cloud native, and enterprise integration architecture. He's the author of gRPC: Up and Running (O'Reilly, 2019), Microservices for Enterprise (Apress, 2018), and Beginning WSO2 ESB (Apress, 2017). Kasun has spoken at several conferences, including O'Reilly Software Architecture Conference 2019 San Jose, GOTO Con 2019 Chicago, and WSO2 Conferences in San Francisco, London, and Barcelona. He also founded the Silicon Valley Microservices, APIs and Integration Meetup, which is one of the largest microservices meetups in the San Francisco Bay area. Sriskandarajah (Suho) Suhothayan is a Senior Director at WSO2, with more than eight years of experience in architecting multiple data processing platforms. He's also the founder of Siddhi, a cloud native stream processor that can perform scalable data processing using microservices and Kubernetes ecosystem. Suho is a visiting lecturer at the University of Westminster (UK) and Robert Gordon University (Scotland), conducting "Big Data" and "Data Science" courses. He has also spoken at various conferences, such as Strata Data Conference 2017 London, Structure Data Conference 2016 San Francisco, and at WSO2 User Conferences in San Francisco, London, Barcelona, and Colombo.


Book Information
ISBN 9781492090717
Author Kasun Indrasiri
Format Paperback
Page Count 250
Imprint O'Reilly Media
Publisher O'Reilly Media

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