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 introduced you to hyper-cloud scale and all the implications this aggregation of organized compute means to IT consumers. The global scale, consistency, and reach of these cloud platforms has changed the way we need to think about scalable and available systems.

We introduced the concept of always-on architectures, and the key architectural elements that comprise these systems. Network redundancy, redundant core services, extensive monitoring, IaC, and immutable deployments are all important elements to architect into any cloud-native system.

Building on this always-on approach, we introduced the concept of self-healing infrastructures. For large-scale, cloud-native deployments, automating the recovery and healing of a system is a key feature. This allows systems to recover on their own, but more importantly frees up critically important human resource time to work on improving the system, allowing evolutionary architectures.

We wrapped up this chapter by introducing...