This book will help you understand the core design elements required to build scalable systems. You will learn how to plan resources and technology stacks effectively to achieve high security and fault tolerance. While doing so, you will also explore core architectural principles using real-world examples. This book adopts a hands-on approach with real-world examples and use cases, which will cater to your need to architect cloud applications and migrate your business to cloud efficiently
This book is for software architects who are keen on designing resilient, scalable, and highly available applications that are native to the cloud.
Chapter 1, Introducing Cloud Native Architecture, set the tone of the book and be used as a base to define and explain what cloud native architecture is and is not. Various points will be discussed, including the pros, cons, myths, challenges and impacts.
Chapter 2, The Cloud Adoption Journey, explores what it means to adopt the cloud. This will be looked at from various angles, including how to migrate from an on-premises or existing environment to a cloud environment.
Chapter 3, Cloud Native Application Design, dives deep into the development of cloud native architectures, using microservices and serverless computing as a design principle.
Chapter 4, How to Choose Technology Stacks, explores the common technology that is used to create cloud native architectures, from open source to licensed software. It will explore marketplaces that can be used to consume resources in the cloud. Finally, it will discuss the procurement process and licensing models that are common in the cloud.
Chapter 5, Scalable and Available, talks about available tools/features and strategies to employ when designing cloud native systems for scale and HA. The chapter will explore how these tools/features work, how they enable cloud native applications and how to deploy them.
Chapter 6, Secure and Reliable, discusses security models, features available in the cloud, pitfalls, and best practices related to security of IT systems. It will also explore how these security features work and how they can help enable cloud users to deploy better secured environments.
Chapter 7, Optimizing Cost, covers the pricing model for Cloud environments. We will then discuss how to approach costing exercises as well as the differences between the old and cloud models.
Chapter 8, Cloud Native Operations, talks about tools, procedures, and models to ensure environments that are deployed in the cloud stay running. The chapter will outline organizational models, governance strategies, and deployment patterns that support operationally healthy systems.
Chapter 9, Amazon Web Services, focuses on providing a perspective on Amazon WebServices' cloud native application development capabilities, strengths, ecosystem maturity and overall approach.
Chapter 10, Microsoft Azure, focuses on providing a perspective on Microsoft Azure's cloud native application development capabilities, strengths, ecosystem maturity and overall approach.
Chapter 11, Google Cloud Platform, focus on providing a perspective on Google Cloud Platform's cloud native application development capabilities, strengths, ecosystem maturity and overall approach.
Chapter 12, What's Next? Cloud Native Application Architecture Trends, looks at future trends and what to expect from various cloud providers in this space.
- A prior experience with software architecture will be helpful to follow this book.
- All the examples and instructions are given at the relevant instances.
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print('Loading function')
def respond(err, res=None):
return {
'statusCode': '400' if err else '200',
'body': err if err else res,
'headers': {
'Content-Type': 'application/json',
},
} Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Click on the API's name, Serverless Weather Service, to drill down into its configuration."
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