Design Patterns for Cloud Native Applications: Patterns in Practice Using APIs, Data, Events, and Streams 154865

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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 software architect with over nine years of experience in architecting and developing data processing platforms, and event driven systems. He was the founder of Siddhi - a cloud-native stream processor that can perform scalable data processing using microservices and the Kubernetes ecosystem. As a visiting lecturer Suho has conducted postgraduate courses on Big Data, Distributed Systems, and Data Science. He has presented at several conferences including O'Reilly’s Strata Data Conference 2017 London, Structure Data Conference 2016 San Francisco, BigData Days 2019 Moscow and at many WSO2 User Conferences in San Francisco, London, Barcelona, and Colombo.



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