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

Cloud-Native Databases Per Component


Leverage one or more fully managed cloud-native databases that are not shared across components and react to emitted events to trigger intra-component processing logic.

Context, problem, and forces

With cloud-native systems, we want to enable everyday companies and empower self-sufficient, full-stack teams to rapidly, continuously, and confidently deliver these global-scale systems. Modern high performance, horizontally scalable, sharded databases are critical to achieving global scalability. These databases come in many variations that are specialized for particular workload characteristics. Cloud-native systems are composed of many bounded isolated components. Each component has its own workload characteristics, which necessitates the use of polyglot persistence whereby many different types of databases are employed to support these characteristics.

To be truly isolated, cloud-native components need to control their own persistence. Each bounded isolated...