Book Image

Architecting Cloud Native Applications

By : Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz
Book Image

Architecting Cloud Native Applications

By: Kamal Arora, Erik Farr, John Gilbert, 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. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: • Cloud Native Development Patterns and Best Practices by John Gilbert • Cloud Native Architectures by Erik Farr et al.
Table of Contents (24 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

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:

As for the actual application, we will again use the same sample of building a serverless weather service application, which behind the...