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

by Kasun Indrasiri and Sriskandarajah Suhothayan

Copyright 2021 Kasun Indrasiri and Sriskandarajah Suhothayan. All rights reserved.

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978-1-492-09071-7

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Cloud Native architecture is all about building software applications as a collection of independent, loosely coupled, business capabilityoriented services (microservices) that can run on dynamic environments (public, private, hybrid, multicloud) in an automated, scalable, resilient, manageable, and observable way.

Writing applications to work natively on the cloud is increasingly common due to the agility, reliability, affordability, and scalability it provides. In current cloud native architecture, the focus is mostly on deployment and operational aspects of applications. However, when building cloud native applications, we cant apply conventional application development patterns and techniques. This book addresses this issue by defining proven solutions as patterns based on APIs, data, events, and streams. It aims to help architects and developers incrementally design, develop, and deploy cloud native applications that are optimal for their use cases, and that can be managed and maintained with minimal cost, time, and effort.

There is a wide range of design patterns that architects and developers can apply when building cloud native applications. In this book, we mainly focus on the development patterns that must be applied when building the business logic of cloud native applications, when connecting them, and when enabling external parties to consume them. Depending on the nature of your application, and the patterns you use to build it, the cross-cutting capabilities such as deployment, scaling, security, and observability may be implemented differently. For that reason, we spend some time discussing the trade-offs and ramifications of using the various patterns. We organize these patterns into seven key areas: communication, connectivity, composition, data, events, stream processing, and API management and consumption.

The chapters in the book are organized as follows: