Book Image

Building Google Cloud Platform Solutions

By : Ted Hunter, Steven Porter, Legorie Rajan PS
Book Image

Building Google Cloud Platform Solutions

By: Ted Hunter, Steven Porter, Legorie Rajan PS

Overview of this book

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
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Scaling App Engine services


App Engine has been designed from the ground up to make scaling a non-issue. Because of this, scalability has become one of the platform's strongest attractors. When designing services to run on App Engine, it is important to understand the nature of App Engine scaling to fully realize the platform's potential. We've covered many of these design considerations earlier in this chapter, but here are a few of the key points:

  • Services should have a low startup time
  • Requests should be fulfilled quickly, using minimal resources
  • Long-running workloads can be offloaded to task queues
  • Leverage microservice patterns to increase elasticity

Services vary by nature, and so will their scaling needs and capabilities. To this end, App Engine offers three distinct scaling strategies—autoscaling, basic scaling, and manual scaling. Each of these scaling types make trade-offs between scaling performance, complexity, and flexibility.

Autoscaling

By far the most powerful form of scaling is...