Book Image

Hands-On Swift 5 Microservices Development

Book Image

Hands-On Swift 5 Microservices Development

Overview of this book

The capabilities of the Swift programming language are extended to server-side development using popular frameworks such as Vapor. This enables Swift programmers to implement the microservices approach to design scalable and easy-to-maintain architecture for iOS, macOS, iPadOS, and watchOS applications. This book is a complete guide to building microservices for iOS applications. You’ll start by examining Swift and Vapor as backend technologies and compare them to their alternatives. The book then covers the concept of microservices to help you get started with developing your first microservice. Throughout this book, you’ll work on a case study of writing an e-commerce backend as a microservice application. You’ll understand each microservice as it is broken down into details and written out as code throughout the book. You’ll also become familiar with various aspects of server-side development such as scalability, database options, and information flow for microservices that are unwrapped in the process. As you advance, you’ll get to grips with microservices testing and see how it is different from testing a monolith application. Along the way, you’ll explore tools such as Docker, Postman, and Amazon Web Services. By the end of the book, you’ll be able to build a ready-to-deploy application that can be used as a base for future applications.
Table of Contents (19 chapters)

Scaling and monitoring using Google Cloud

Scaling in Google Cloud is conceptually similar to AWS. You have a load balancer, instances, and policies that can scale your instances up or down. Google Cloud also, just like AWS, offers more than only one way to manage services and autoscaling: Kubernetes can be directly managed within Google Cloud (just like in the AWS Elastic Kubernetes Service (EKS); see Chapter 14, Docker and the Cloud, for details).

Let's assume, though, that we have set up our app through App Engine like we did in Chapter 15, Deploying Microservices in the Cloud. In that case, autoscaling is already enabled by default! There is nothing more we need to do. Google is automatically checking the CPU, RAM, and other metrics, and scales up and down depending on your needs.

If, however, you have a more sophisticated setup, in which you have set up a few instances...