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

Summary


In this chapter, we discussed the foundational patterns of reactive, cloud-native systems. We learned how leveraging fully managed cloud-native databases and event streaming empowers self-sufficient, full-stack teams to rapidly, continuously, and confidently deliver global scale systems by delegating the complexity of operating these services to the cloud provider so that they can focus on the value proposition of their components. With Event Sourcing, we communicate state changes between components as a series of atomically produced immutable events and the data lake collects, stores, and indexes all events in perpetuity with complete fidelity and high durability. These events act as the source of record and support the replay and resubmission of events, to repair existing components, populate new components, and support data science activities. The Stream Circuit Breaker pattern leverages functional reactive programming to control the flow of events in stream processors and achieves...