Build enterprise-grade cloud-native systems and learn all about cloud-native architecture and design. This book provides extensive in-depth details of patterns, tools, techniques, and processes with plenty of examples.

Cloud Native Architecture and Design begins by explaining the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element.

The book progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud.

Architecting and designing a cloud-native system isn’t possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence.

Finally, you need your cloud-native applications to run efficiently; this section covers the details of containerization, orchestration, and virtualization in the public, private, and hybrid clouds. After reading this book, you will have familiarity with the many concepts related to cloud-native and understand how to design and develop a successful cloud-native application. Technologies and practices may change over time, but the book lays a strong foundation on which you can build successful cloud-native systems.

What You Will Learn

Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems

• Gain the techniques and concepts you need to adapt to design a cloud-native application

Use assessment techniques and tools for IT modernization

• Apply cloud-native engineering principles to the culture of automation and culture of innovation

Harness the techniques and tools to run your cloud-native applications and automate infrastructure

• Operate your cloud-native applications by using AI techniques and zero operation techniques

Who This Book Is For

Software architects, leaders, developers, engineers, project managers, and students.

Table of Contents

Part I: The Cloud Native Journey, Principles, and Patterns

Chapter 1: Introduction to Cloud Native Architecture

Chapter 2: Cloud Native Services

Chapter 3: Cloud Native Architecture Principles

Chapter 4: Cloud Native Architecture and Design Patterns

Part II: Elements of Cloud Native Architecture and Design

Chapter 5: Microservices Architecture and Design

Chapter 6: Event-Driven Architecture

Chapter 7: Serverless Architecture

Chapter 8: Cloud Native Data Architecture

Chapter 9: Designing for " -ilities"

Part Ill: Modernizing Enterprise IT Systems

Chapter 10: Modernize Monolithic Applications to Cloud -Native

Chapter 11: Enterprise IT Assessment for a Cloud Native Journey

Chapter 12: " -ilities" Fitness Function

Part IV: Cloud Native Software Engineering

Chapter 13: Enterprise Cloud Native Software Engineering

Chapter 14: Enterprise Cloud Native Automation

Chapter 15: Al-Driven Development

Part V: Cloud Native Infrastructure

Chapter 16: Containerization and Virtualization

Chapter 17: Infrastructure Automation

Part VI: Cloud Native Operations

Chapter 18: Intelligent Operations

Chapter 19: Observability

Part VII: Cloud Native Features

Chapter 20: Cloud Native Trends

About the Author

Shivakumar R Goniwada is an enterprise architect, technology leader, and inventor with more than 23 years of experience in architecting enterprise architecture with cloud-native, event-driven systems. He currently works at Accenture and leads a highly experienced technology enterprise and cloud architects. In his 23 years of experience, he led many highly complex projects across industries and the globe. He has ten software patents to his name in the areas of cloud, polyglot and polylithic architecture, software engineering, and IoT. He is a speaker at multiple global and in-house conferences. He holds Master Technology Architecture Accenture, Google Professional, AWS, and data science certifications. He completed an executive MBA at MIT Sloan School of Management.