Book Image

JavaScript Cloud Native Development Cookbook

By : John Gilbert
Book Image

JavaScript Cloud Native Development Cookbook

By: John Gilbert

Overview of this book

Cloud-native development is a modern approach to building and running applications that leverages the merits of the cloud computing model. With cloud-native development, teams can deliver faster and in a more lean and agile manner as compared to traditional approaches. This recipe-based guide provides quick solutions for your cloud-native applications. Beginning with a brief introduction, JavaScript Cloud-Native Development Cookbook guides you in building and deploying serverless, event-driven, cloud-native microservices on AWS with Node.js. You'll then move on to the fundamental patterns of developing autonomous cloud-native services and understand the tools and techniques involved in creating globally scalable, highly available, and resilient cloud-native applications. The book also covers multi-regional deployments and leveraging the edge of the cloud to maximize responsiveness, resilience, and elasticity. In the latter chapters you'll explore techniques for building fully automated, continuous deployment pipelines and gain insights into polyglot cloud-native development on popular cloud platforms such as Azure and Google Cloud Platform (GCP). By the end of the book, you'll be able to apply these skills to build powerful cloud-native solutions.
Table of Contents (13 chapters)

Introduction

Cloud-native turns performance testing, tuning, and optimization on their heads. Many of the fully-managed, serverless cloud services that are leveraged have implicit scalability. These services are purchased per request and will automatically scale to meet peak and unexpected demands. For these resources, it is much less necessary to perform upfront performance testing; instead, we optimize for observability, as discussed in Chapter 7, Optimizing Observability, and continuously tune based on the information gathered from continuous testing in production. We also leverage continuous deployment to push necessary improvements. This worth-based development approach helps ensure that we are focusing our efforts on the highest value improvements.

Still, there are resources, such as some stream processors and data stores, that rely heavily on explicitly defined batch sizes...