Book Image

Cloud Native Architectures

By : Tom Laszewski, Kamal Arora, Erik Farr, Piyum Zonooz
Book Image

Cloud Native Architectures

By: Tom Laszewski, Kamal Arora, Erik Farr, Piyum Zonooz

Overview of this book

Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns. This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform. By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers.
Table of Contents (19 chapters)
Title Page
Packt Upsell

Application Centric Design (CNMM Axis-2)

Now that we have explored a few interesting cloud-native services from Google Cloud, let's dive into the next topic of actually building some cloud-native application architectures and the best practices around those.

Serverless microservice

Similar to the approach we took in our previous chapters around AWS and MS Azure, we will look at creating a serverless microservice using a few Google Cloud services. In fact, before we even dive in there, it's interesting to note the way Google defines its serverless services portfolio, which can be seen in the following diagram, wherein even some early services including App Engine are included, apart from the latest ones that include Cloud Functions and the Cloud Machine Learning Engine. For more details, please refer to the whitepapers and content on the Google Cloud portal:

Image source –

As for the actual application, we will again use the same sample of building...