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

Trilateral API


Publish multiple interfaces for each component: a synchronous API for processing commands and queries, an asynchronous API for publishing events as the state of the component changes, and/or an asynchronous API for consuming the events emitted by other components.

Context, problem, and forces

We are building reactive, cloud-native systems composed of bounded isolated components which rely on event streaming for inter-component communication. Therefore, a large portion of the system functionality does not communicate over RESTful interfaces. There are few, if any, tools for documenting asynchronous interfaces in a standardized way. One team owns each component, a team may be responsible for multiple components, but a single team rarely owns all of the components.

We need to recognize and acknowledge that reactive, cloud-native systems are different and require a different way of thinking about systems. We no longer communicate via just a synchronous API, such as REST and/or GraphQL...