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)

Summary

In this chapter, we discussed the need to shift some testing to the right into production where we continuously monitor key performance indicators and focus on the mean time to recovery in an effort to increase our confidence in the stability of our cloud-native systems. We leverage both real and synthetic traffic and fully instrument our cloud-native components to maximize the observability of the system. We discussed the need to alert liberally, but page judiciously on user-visible symptoms rather than causes. Once a problem is identified, we investigate the system's work metrics, resource metrics, and events to diagnose the root cause and determine the appropriate actions that must be taken to recover quickly. We also discussed how the observability of a cloud-native system enables teams to continuously tune and improve the performance of the system.

In the next...