Building Google Cloud Platform Solutions: Develop scalable applications from scratch

Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes
Key Features

• Explore the various service offerings of the GCP
• Host a Python application on Google Compute Engine
• Securely maintain application states with Cloud Storage, Datastore, and Bigtable

Book Description
GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud.
You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you'll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you'll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP's development tools and be able to develop, deploy, and manage highly scalable and reliable applications.
This Learning Path includes content from the following Packt products:

• Google Cloud Platform for Developers Ted Hunter and Steven Porter
• Google Cloud Platform Cookbook by Legorie Rajan PS

What you will learn

• Host an application using Google Cloud Functions
• Migrate a MySQL database to Cloud Spanner
• Configure a network for a highly available application on GCP
• Learn simple image processing using Storage and Cloud Functions
• Automate security checks using Policy Scanner
• Deploy and run services on App Engine and Container Engine
• Minimize downtime and mitigate issues with Stackdriver Monitoring and Debugger
• Integrate with big data solutions, including BigQuery, Dataflow, and Pub/Sub

Who this book is for
This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.
Table of Contents

• Why GCP?
• The Google Cloud Console
• APIs, CLIs, IAM, and Billing
• Google App Engine
• Google Kubernetes Engine
• Google Cloud Functions
• Google Compute Engine
• NoSQL with Datastore and Bigtable
• Relational Data with Cloud SQL and Cloud Spanner
• Google Cloud Storage
• Stackdriver
• Change Management
• GCP Networking for Developers
• Messaging with Pub/Sub and IoT Core
• Integrating with Big Data Solutions on GCP
• Compute
• Storage and Databases
• Networking
• Security
• Machine Learning and Big Data
• Management Tools
• Best Practices