The Definitive Guide to Modernizing Applications on Google Cloud
The what, why, and how of application modernization on Google Cloud
Published on 18. June 2021
Book
Paperback/Softback
488 pages
978-1-80020-979-4 (ISBN)
Description
Get to grips with the tools, services, and functions needed for application migration to help you move from legacy applications to cloud-native on Google Cloud
Key Features
Discover how a sample legacy application can be transformed into a cloud-native application on Google Cloud
Learn where to start and how to apply application modernization techniques and tooling
Work with real-world use cases and instructions to modernize an application on Google Cloud
Book DescriptionLegacy applications, which comprise 75-80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications.
This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application.
By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application.
What you will learn
Discover the principles and best practices for building cloud-native applications
Study the six Rs of migration strategy and learn when to choose which strategy
Rehost a legacy enterprise application on Google Compute Engine
Replatform an application to use Google Load Balancer and Google Cloud SQL
Refactor into a single-page application (SPA) supported by REST services
Replatform an application to use Google Identity Platform and Firebase Authentication
Refactor to microservices using the strangler pattern
Automate the deployment process using a CI/CD pipeline with Google Cloud Build
Who this book is forThis book is for software developers and solutions architects looking to gain experience in modernizing their enterprise applications to run on Google Cloud and transform them into cloud-native applications. Basic knowledge of Java and Spring Boot is necessary. Prior knowledge of Google Cloud is useful but not mandatory.
Key Features
Discover how a sample legacy application can be transformed into a cloud-native application on Google Cloud
Learn where to start and how to apply application modernization techniques and tooling
Work with real-world use cases and instructions to modernize an application on Google Cloud
Book DescriptionLegacy applications, which comprise 75-80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications.
This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application.
By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application.
What you will learn
Discover the principles and best practices for building cloud-native applications
Study the six Rs of migration strategy and learn when to choose which strategy
Rehost a legacy enterprise application on Google Compute Engine
Replatform an application to use Google Load Balancer and Google Cloud SQL
Refactor into a single-page application (SPA) supported by REST services
Replatform an application to use Google Identity Platform and Firebase Authentication
Refactor to microservices using the strangler pattern
Automate the deployment process using a CI/CD pipeline with Google Cloud Build
Who this book is forThis book is for software developers and solutions architects looking to gain experience in modernizing their enterprise applications to run on Google Cloud and transform them into cloud-native applications. Basic knowledge of Java and Spring Boot is necessary. Prior knowledge of Google Cloud is useful but not mandatory.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 26 mm
Weight
902 gr
ISBN-13
978-1-80020-979-4 (9781800209794)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Steve (Satish) Sangapu has been working with software since 2000. He specializes in migrating and modernizing applications from monolith to containerized microservices as well as creating data engineering pipelines to mine vast amounts of structured and unstructured data. He has extensive experience successfully leading large, cross-functional, geographically dispersed teams utilizing modern Agile development methodologies while collaboratively effectively in creating high-performance, fault-tolerant, and high-availability systems. He also holds 7 patents from the United States Patent and Trademark office and certifications from Carnegie Mellon Software Engineering Institute and Google Cloud.
Dheeraj Panyam has been working in the IT industry since 2000. His experience spans diverse domains (optical, telecom, retail and healthcare) and covers all phases of SDLC lifecycle from Application Development, Production Support, QA Automation and Cloud Architecture. He lives in India and collaborates with a Google Cloud consulting company, helping them design solutions and architecture on public cloud platforms. He holds multiple Google Cloud Certifications in addition to other certifications in Networking and Testing.
Jason Marston is a Cloud Solution Architect based in England. He was recruited by Microsoft because of his OSS background. Jason has worked with Java since version 1 and has a long history with open source. He has over 30 years' experience of developing software and now helps organizations migrate and modernize legacy applications to the cloud. Jason was an SME in the Worldwide Communities project at Microsoft and, as part of the leadership team for those communities, helped many people solve their problems by adopting Java on Azure. In his spare time, Jason reads science fiction books and has two children who think he is a geek/nerd.
Dheeraj Panyam has been working in the IT industry since 2000. His experience spans diverse domains (optical, telecom, retail and healthcare) and covers all phases of SDLC lifecycle from Application Development, Production Support, QA Automation and Cloud Architecture. He lives in India and collaborates with a Google Cloud consulting company, helping them design solutions and architecture on public cloud platforms. He holds multiple Google Cloud Certifications in addition to other certifications in Networking and Testing.
Jason Marston is a Cloud Solution Architect based in England. He was recruited by Microsoft because of his OSS background. Jason has worked with Java since version 1 and has a long history with open source. He has over 30 years' experience of developing software and now helps organizations migrate and modernize legacy applications to the cloud. Jason was an SME in the Worldwide Communities project at Microsoft and, as part of the leadership team for those communities, helped many people solve their problems by adopting Java on Azure. In his spare time, Jason reads science fiction books and has two children who think he is a geek/nerd.
Content
Table of Contents
Cloud-Native Application Fundamentals
End-to-End Extensible Tooling for Cloud-Native Application Development
Cloud-Native Architecture Patterns and System Architecture Tenets
Choosing the Right Compute Option
Choosing the Right Database and Storage
Implementing a Messaging and Scheduling System
Implementing Cloud-Native Security
Introducing the Legacy Application
The Initial Architecture on Google Compute Engine
Addressing Scalability and Availability
Re-Platforming the Data Layer
Designing the Interim Architecture
Refactoring to Microservices
Refactoring the Frontend and Exposing REST Services
Handling Eventual Consistency with the Compensation Pattern
Orchestrating Your Application with Google Kubernetes Engine
Going Serverless with Google App Engine
Future Proofing Your App with Google Cloud Run
(N.B. Please use the Look Inside option to see further chapters)
Cloud-Native Application Fundamentals
End-to-End Extensible Tooling for Cloud-Native Application Development
Cloud-Native Architecture Patterns and System Architecture Tenets
Choosing the Right Compute Option
Choosing the Right Database and Storage
Implementing a Messaging and Scheduling System
Implementing Cloud-Native Security
Introducing the Legacy Application
The Initial Architecture on Google Compute Engine
Addressing Scalability and Availability
Re-Platforming the Data Layer
Designing the Interim Architecture
Refactoring to Microservices
Refactoring the Frontend and Exposing REST Services
Handling Eventual Consistency with the Compensation Pattern
Orchestrating Your Application with Google Kubernetes Engine
Going Serverless with Google App Engine
Future Proofing Your App with Google Cloud Run
(N.B. Please use the Look Inside option to see further chapters)