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)

Task branch workflow

When discussing the topic of continuous deployment, it is understandable that you might conjure up the image of every single commit by every developer being automatically deployed to production. It is natural to find this concerning because there are too many human factors involved that can send this awry. There is also the notion that there are no manual gates, but this isn't really true either. What is true is that we want to make small and controlled changes that are automatically deployed to production. This is because it is much easier to reason about the correctness of small changes and it is much easier to diagnose a problem in production when it could only be the result of a small change.

To facilitate these small deployment units, we must decouple deployment from release and treat the two as separate, continuous threads working in tandem. We...