- Mastering Microservices with Java 9(Second Edition)
- Sourabh Sharma
- 248字
- 2021-07-02 21:54:42
Release rollback in case of failure
Since monolithic applications are either bundled in the same archive or contained in a single directory, they prevent the deployment of code modularity. For example, many of you may have experienced the pain of delaying rolling out the whole release due to the failure of one feature.
To resolve these situations, microservices gives us the flexibility to rollback only those features that have failed. It's a very flexible and productive approach. For example, let's assume you are the member of an online shopping portal development team and want to develop an application based on microservices. You can pide your application based on different domains such as products, payments, cart, and so on, and package all these components as separate packages. Once you have deployed all these packages separately, these would act as single components that can be developed, tested, and deployed independently, and called μService.
Now, let's see how that helps you. Let's say that after a production release launching new features, enhancements, and bug fixes, you find flaws in the payment service that need an immediate fix. Since the architecture you have used is based on microservices, you can rollback the payment service instead of rolling back the whole release, if your application architecture allows, or apply the fixes to the microservices payment service without affecting the other services. This not only allows you to handle failure properly, but it also helps to deliver the features/fixes swiftly to a customer.
- Learn Blockchain Programming with JavaScript
- Python程序設(shè)計教程(第2版)
- Learning Docker
- 跟老齊學(xué)Python:輕松入門
- Java Web及其框架技術(shù)
- Mastering Python Scripting for System Administrators
- HTML5+CSS3網(wǎng)站設(shè)計教程
- Java設(shè)計模式及實踐
- CouchDB and PHP Web Development Beginner’s Guide
- Python算法從菜鳥到達人
- C語言程序設(shè)計
- 執(zhí)劍而舞:用代碼創(chuàng)作藝術(shù)
- C#程序設(shè)計(項目教學(xué)版)
- JavaScript應(yīng)用開發(fā)實踐指南
- R Data Science Essentials