Spring vs. Tornado vs. Atmosphere

Spring Core and Spring Integration

Configuration for ActiveMQ message broker and Apache Camel routes in data feed ingestion module.

Full Java stack and lot of samples

Java entreprise application/microservices developement (DI, IoC, SpringBoot, SpringData)

I use spring boot for development of large scale web apps

Hybris is built upon Spring, ensuring the best software architecture and programming style.

The core of the application use Spring Stack, to provide services and structure like:

• Persistence
• REST
• Email
• Security
• Self contained application with spring boot
• And many others.

Backend framework for making life easier.

Java業務Webアプリ開発

Spring is another gift rained down by the gods of Open Source Software (a.k.a. Pivotal Labs in this particular case) that just makes sense on all levels.

From Spring Boot, to SpringMVC, the configuration architecture & profile paradigm, Spring Cloud expandability, to the ease with which one can deploy Spring applets as microservices within Docker is an absolute joy.

Great framework

Used Spring Boot and its ORM to interacting with database server for web application development.

现一般用 Spring-Boot

그냥 간단한 MVC 웹 프레임 워크 인줄 알았는데 정말 모듈화가 잘 되있고, 사용하다보면 개발자에게 정말 편리하게 만들어 놓았다. vaildation 부분은 따로 처리 할 수 있고, 파라미터 담는 변수와 디폴트 값을 인자로 설정해 주는 부분도 참 좋은 것 같다. 또 spring-data 는 jpa 활용해 빠르게 개발하는데 유용하다.

Creating and modifying JSP files as well as Java controllers

Spring을 이용하여 개인 프로젝트를 진행하며 Framework를 이용하는것이 생산성을 어떻게 올려주는지 알 수 있었습니다.

IOC、AOP、MVC

• SpringFramework 중 MVC , AOP 등의 라이브러리를 활용하여 웹 어플리케이션 프로젝트 구성

• 공통 로직 구현 및 보안 처리 가능

• Spring5에서 지원하는 함수형 프로그래밍 경험 있음

Our application is built in the Spring eco-system. See Spring-Boot for more info.

We use Tornado as our websockets server, using SockJS (an alternative to socket.io).

SpreadServe's RealTimeWebServer is built in Tornado. Spreadsheets loaded into SpreadServeEngine instances are projected into browsers using Tornado. Server side recalcs are pushed to the browser using web sockets.

Tornado with Async/Await coroutines provided in Python 3.5 make up for an excellent stack for a micro-service.

setup an api for a client with tornado backend. incredibly fast and lightweight. unfortunately breaks down when using third party libraries which block internally.