Book Image

Cloud Native Development Patterns and Best Practices

By : John Gilbert
Book Image

Cloud Native Development Patterns and Best Practices

By: John Gilbert

Overview of this book

Build systems that leverage the benefits of the cloud and applications faster than ever before with cloud-native development. This book focuses on architectural patterns for building highly scalable cloud-native systems. You will learn how the combination of cloud, reactive principles, devops, and automation enable teams to continuously deliver innovation with confidence. Begin by learning the core concepts that make these systems unique. You will explore foundational patterns that turn your database inside out to achieve massive scalability with cloud-native databases. You will also learn how to continuously deliver production code with confidence by shifting deployment and testing all the way to the left and implementing continuous observability in production. There's more—you will also learn how to strangle your monolith and design an evolving cloud-native system. By the end of the book, you will have the ability to create modern cloud-native systems.
Table of Contents (12 chapters)

Bounded isolated components

We have defined the architectural vision for our cloud-native systems and enumerated the patterns used to build these systems. The next step is to decompose a system into bounded isolated components. However, “What is the right size?” is a fundamental question that everyone asks. Ultimately, every team has to answer this question for itself. You have to ask yourself how confident you are that you can continuously deploy and scale each component. If you cannot be certain of the implications of a given change to a component then the component is potentially too large. If you have to make compromises on the scalability and tuning of a specific component then it likely needs to be split apart. If the backlog of changes to a component starts to clog then this is an indication that it may need to be refactored into multiple components. The potential...