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.
This practical guide will provide developers and architects with the tools and knowledge they need to design and build applications on GCP using Java. Through this book, I hope readers overcome any challenges they encounter when using GCP and that they gain the confidence and skills they need to build robust and scalable Java applications.
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.
Vertex AI is a managed Machine Learning platform for developing, training, and deploying Machine Learning models. It provides cloud-based infrastructure for running large-scale Machine Learning workflows and offers various services, including hosting models, training algorithms, and deploying machine learning applications. The platform is designed for data scientists and machine learning engineers who need to quickly and easily build and deploy complex models at scale. With Vertex AI, users can take advantage of Google’s infrastructure and expertise in machine learning and focus on their core task of developing models without worrying about managing the underlying infrastructure. For example, you can use Vertex AI to create a recommendation engine. You can get predictions through batch requests by using the data provided and Machine Learning.
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 scenarios
Implement GCP services such as Datastore, SQL, and Spanner
Leverage 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.