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)


As discussed in the previous chapter, creating serverless and microservice-based applications is a key cloud native way to differentiate as compared to pre-cloud era design patterns. So, let's look at how can we design such applications in Microsoft Azure cloud using multiple key services.

Serverless microservice

In this section, we are going to create a serverless microservice application on Microsoft Azure. In order for you to easily compare and learn capabilities across cloud providers, we will use the same example of creating a Weather Services application, which we discussed in the previous chapter on AWS. So, as a refresher, the overall application will have three main parts:

  • An API trigger to invoke the application.
  • A function that is written in Azure Functions.
  • An external weather service to which we will pass some parameters and get results:

Serverless microservice – walkthrough

In order to create the previously mentioned service, follow these steps...