Arora Kamal et al. Architecting Cloud Native Applications: Design high-performing and cost-effective applications for the cloud [Code Files]

Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz. — Packt Publishing Ltd., 2019. — 514 p. — ISBN: 978-1-83864-331-7.Code files only!
Apply cloud native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidenceCloud 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.What you will learn
Understand the difference between cloud native and traditional architecture
Automate security controls and configuration management
Minimize risk by evolving your monolithic systems into cloud native applications
Explore the aspects of migration, when and why to use it
Apply modern delivery and testing methods to continuously deliver production code
Enable massive scaling by turning your database inside out