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)

Applying the database-first variant of the Event Sourcing pattern with Cognito datasets

In the Applying the event-first variant of the Event Sourcing pattern recipe, we discussed how the Event Sourcing pattern allows us to design eventually consistent systems that are composed of a chain of atomic steps. Distributed transactions are not supported in cloud-native systems, because they do not scale effectively. Therefore, each step must update one, and only one, system. In this recipe, we leverage the database-first variant of the Event Sourcing pattern, where the atomic unit of work is writing to a single cloud-native database. A cloud-native database provides a change data capture mechanism that allows further logic to be atomically triggered that publishes an appropriate domain event to the event stream for further downstream processing. In the recipe, we demonstrate an offline...