The design of a cloud-native frontend application must account for the fact that the system should be eventually consistent. For example, in a traditional frontend application, it is not uncommon to save data and then immediately execute a query to retrieve that same data. However, in an eventually consistent system, it is very likely that the query would not find the data on the first try. Instead, cloud-native frontends leverage the fact that single page applications can—at minimum—cache data locally for the duration of the user's session. This approach is referred to as session consistency. The following recipe demonstrates how to use the popular Apollo Client (https://www.apollographql.com/client) with ReactJS to improve perceived performance and reduce load on the system by implementing session consistency.
JavaScript Cloud Native Development Cookbook
By :
JavaScript Cloud Native Development Cookbook
By:
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)
Preface
Free Chapter
Getting Started with Cloud-Native
Applying the Event Sourcing and CQRS Patterns
Implementing Autonomous Services
Leveraging the Edge of the Cloud
Securing Cloud-Native Systems
Building a Continuous Deployment Pipeline
Optimizing Observability
Designing for Failure
Optimizing Performance
Deploying to Multiple Regions
Welcoming Polycloud
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