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

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

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內容描述

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 gain experience 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 Sriskandarajah Suhothayan and Kasun Indrasiri highlight use cases that effectively demonstrate the challenges you could encounter at each step.

Explore the issues you're likely to deal with when building highly scalable cloud native applications
Learn design patterns for addressing these issues--and best practices to help you apply them
Examine the tools and technologies essential for building cloud native systems
Implement scalable cloud native applications that are manageable and maintainable
Use patterns for building applications that are appropriate for specific use cases

作者介紹

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.