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 dove deep into the third significant cloud provider, Google Cloud Platform, and after understanding its origins and evolution, we focused on differentiating services like Cloud AI, Kubernetes Engine, and G Suite. Post that, we understood the concepts around serverless microservices and actually created a sample weather service application, leveraging Google Cloud functions. That led us to the next section, which focused on automation and how Google Cloud Deployment Manager can be used to create repeatable templates for treating infrastructure as code. We also looked at options for implementing CI/CD patterns in serverless environments as well as Kubernetes-based containerized deployments. Finally, we explored various options to migrate existing on-premise applications and workloads using various Google Cloud Native services as well as partner offerings. With all of the aforementioned concepts, we have completed exploring the top three public cloud providers and...