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

Importing data into Cloud SQL

Importing data into Cloud SQL is a key subject. If we are modernizing an existing application, then there will likely be a large amount of relational data already in existence and we need to be able to import this, so we don't lose any important information.

In order to import data into our Cloud SQL instance, we will first need to export that data from an existing MySQL database and place it in a location that Cloud SQL can import from. The following section examines these steps.

Exporting data from our MySQL virtual machine

To export the data from our MySQL virtual machine, perform the following steps:

  1. In the command line, enter the following command:
    mysqldump -u bankinguser -p --databases banking --hex-blob --set-gtid-purged=OFF --single-transaction > exported.sql
  2. Enter the bankinguser password when prompted, as follows:
    Enter password:

We now have a file called exported.sql, which we will upload to a Cloud Storage...