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)

Creating a data lake

One of the major benefits of the Event Sourcing pattern is that it results in an audit trail of all the state changes within a system. This store of events can also be leveraged to replay events to repair broken services and seed new components. A cloud-native event stream, such as AWS Kinesis, only stores events for a short period of time, ranging from 24 hours to 7 days. An event stream can be thought of as a temporary or temporal event store that is used for normal, near real-time operation. In the Creating a micro event store recipe, we will discuss how to create specialized event stores that are dedicated to a single service. In this recipe, we will create a data lake in S3. A data lake is a perpetual event store that collects and stores all events in their raw format in perpetuity with complete fidelity and high durability to support auditing and replay...