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)

Real and synthetic traffic

Key performance indicators and a focus on the mean time to recovery are all well and good, but they are also largely academic unless there is traffic running through your cloud-native system. International companies will likely have traffic around the clock, but many systems do not have an international user base. Furthermore, even though the system as a whole may be receiving continuous traffic, individual regions will receive different levels of traffic throughout the day.

We are continuously deploying changes into production and we need to proactively assert the health of the system immediately after each deployment to be confident in the success of the deployment. However, without traffic in the system, there is no information available to assert the health of the system. This is particularly true when we are performing a canary deployment in an...