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2023 | Buch

Designing Applications for Google Cloud Platform

Create and Deploy Applications Using Java

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Über dieses Buch

Learn how to use Google Cloud Platform (GCP) and its services to design, build, and deploy applications. This book includes best practices, practical examples, and code snippets written in Java, making it a key resource for developers seeking hands-on experience with GCP.

You'll begin with an introduction to GCP services and a review of what Java offers while developing applications for GCP. Next, you'll be walked through how to set up Google App Engine, Google Storage Cloud, and Google Cloud SQL with use cases, as well as application development and deployment. As the book progresses, you'll be exposed to advanced GCP services, deploying and scaling applications on GCP services, and troubleshooting and optimization of Java applications on GCP. The book uses real-world examples to help you understand how GCP services can solve everyday problems.

After completing this book, you will understand Google Cloud Platform and its services, and will have the knowledge needed to design, build, and deploy your own applications on GCP using Java.

What You'll Learn

Create a GCP project, configure authentication and authorization, and deploy a sample application.Use GCP services to solve common problems and apply them to real-world scenariosImplement GCP services such as Datastore, SQL, and SpannerLeverage GCP tools such as the SDK and Cloud Shell

Who This Book Is For

Software developers, Cloud architects, and managers looking to design and build applications for Google Cloud Platform. This book is for those with software development experience who are familiar with Java programming. It is also suitable for those new to GCP who have a basic understanding of cloud computing concepts.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
This chapter will introduce Google Cloud Platform (GCP) services and how they can be used to build, deploy, and scale applications. This chapter will guide you in setting up a GCP environment and give a brief overview of the most common GCP services. By the end of this chapter, you will be able to understand the basics of GCP, create a GCP project, and know which GCP services you can use to build and deploy applications.
Ashutosh Shashi
Chapter 2. Setting Up the Development Environment
Abstract
In this chapter, I focus on setting up a development environment for Java on GCP. I cover the necessary steps to install the Java Development Kit (JDK), an integrated development environment (IDE), and the Google Cloud SDK. I also explain how to create a GCP project, set up credentials, and configure the GCP plugin for different IDEs. Finally, this chapter provides instructions for setting up credentials and configuring the GCP plugin for IntelliJ IDEA, Eclipse, and Visual Studio Code.
Ashutosh Shashi
Chapter 3. Google App Engine
Abstract
In this chapter, you will learn about Google App Engine (GAE), a fully managed platform for developing and deploying web applications and services. GAE allows developers to focus on writing code without worrying about the underlying infrastructure and about scaling the application as traffic increases. The chapter covers the key features of GAE, including the programming languages and frameworks supported, storage options, and deployment methods. You will also learn about scaling and optimizing GAE applications to handle changes in traffic and improve performance. Finally, the chapter covers security considerations and best practices for deploying and managing GAE applications. By the end of this chapter, you will have a comprehensive understanding of Google App Engine and how to use it to develop and deploy web applications.
Ashutosh Shashi
Chapter 4. Data Storage in Google Cloud
Abstract
In this chapter, we will explore Google Cloud Storage (GCS) and how to use it to store and manage files in a Java application. GCS is a cloud-based object storage service provided by Google Cloud Platform (GCP), which allows users to store and access their data from anywhere in the world. It is a highly scalable and reliable storage solution that offers features such as data encryption, data durability, and data life-cycle management.
Ashutosh Shashi
Chapter 5. Google Cloud SQL
Abstract
In this chapter, we discuss how to use Google Cloud SQL to store and manage data in a cloud-based SQL database. We cover various aspects of working with Cloud SQL, such as creating a Cloud SQL instance, connecting to it, and creating tables, as well as inserting, updating, and querying data. We also discuss how to interact with Cloud SQL using the Java programming language.
Ashutosh Shashi
Chapter 6. Advanced GCP Services
Abstract
 In this chapter, we will explore the practical aspects of GCP's advanced services. It covers key topics such as Big Data and Machine Learning, Cloud Pub/Sub, Cloud Dataflow, Cloud Dataproc, and Cloud Functions. Through real-world examples, the chapter showcases the use of these services in building scalable, resilient, and data-driven applications. By the end of this chapter, readers will understand how to leverage Cloud Pub/Sub, Cloud Dataflow, Cloud Dataproc, and Cloud Functions to design and implement powerful solutions on GCP.
Ashutosh Shashi
Chapter 7. Deployment and Scaling
Abstract
This chapter focuses on designing and building scalable and resilient architectures on Google Cloud Platform (GCP). The chapter begins by introducing the principles of scalable and resilient design, including fault tolerance, elasticity, and scalability. You will learn about the key components of scalable and resilient architectures on GCP, including load balancing, autoscaling, and distributed databases. The chapter also covers best practices for building scalable and resilient architectures on GCP, including using managed services, designing for failure, and monitoring and alerting. Overall, this chapter provides a comprehensive guide to building scalable and resilient architectures on GCP, with practical examples and real-world use cases.
Ashutosh Shashi
Chapter 8. Troubleshooting and Optimization
Abstract
This chapter focuses on optimizing the performance of Java applications running on Google Cloud Platform (GCP). The chapter covers various techniques and best practices for improving performance, including optimizing Java virtual machine (JVM) settings, using caching, implementing load balancing, monitoring and logging, and optimizing the network. By implementing these techniques, you will learn how to improve the performance and reliability of your Java applications on GCP, providing a better experience for your users.
Ashutosh Shashi
Chapter 9. Conclusion
Abstract
This chapter concludes the coverage of designing and building a Java application on Google Cloud Platform (GCP). In this chapter, you will learn about the key takeaways of designing and building a Java application on GCP. I’ll discuss the different GCP services and tools available for Java application development; factors to consider when choosing services and tools; and techniques for optimizing performance, monitoring and logging, collaboration and teamwork, and keeping up with changes in the GCP platform. Additionally, you will find a list of additional resources and next steps to continue learning about GCP and Java development. By the end of this chapter, you will have a comprehensive understanding of how to design and build a Java application on GCP and deliver a scalable, reliable, and cost-effective solution that meets the needs of their business.
Ashutosh Shashi
Backmatter
Metadaten
Titel
Designing Applications for Google Cloud Platform
verfasst von
Ashutosh Shashi
Copyright-Jahr
2023
Verlag
Apress
Electronic ISBN
978-1-4842-9511-3
Print ISBN
978-1-4842-9510-6
DOI
https://doi.org/10.1007/978-1-4842-9511-3