Book Image

The Definitive Guide to Modernizing Applications on Google Cloud

By : Steve (Satish) Sangapu, Dheeraj Panyam, Jason Marston
Book Image

The Definitive Guide to Modernizing Applications on Google Cloud

By: Steve (Satish) Sangapu, Dheeraj Panyam, Jason Marston

Overview of this book

Legacy 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.
Table of Contents (26 chapters)
1
Section 1: Cloud-Native Application Development and App Modernization in Google Cloud
5
Section 2: Selecting the Right Google Cloud Services
10
Section 3: Rehosting and Replatforming the Application
17
Section 4: Refactoring the Application on Cloud-Native/PaaS and Serverless in Google Cloud

Security and flexibility

There is no definite pattern that you need to follow when choosing your storage and database options. Different database and storage options can be used together—and often are—to complete tasks that have different priorities; the cloud gives you that flexibility.

That said, some services are more flexible than others. For instance, GCS—despite supporting only unstructured data—can be used for a large number of tasks due to its low cost, high scalability, low latency, and reliability. The only task you shouldn't use GCS for is querying your data. Instead, you can use GCS with a relational database that is capable of rich queries, such as Cloud SQL or Cloud Spanner.

Finally, there is data security. While data storage in the cloud is still safer than most on-premises solutions, there are still steps you should take to ensure the safety of your data. For starters, all of the data stored in Google Cloud is encrypted by default...