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'RESTful service load testing using Gatling 2' post illustration
RESTful service load testing using Gatling 2

In this post, I am going to show how to create load tests for a REST API application with the help of Gatling 2. This will be a step-by-step guide — starting from integrating Gatling 2 using SBT plugin, creating/configuring test scenarios, and all the way to running the Gatling tests.

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'Scala REST API Integration Testing with Spray-testkit' post illustration
Scala REST API Integration Testing with Spray-testkit

Here you can find out how to create integration tests for RESTful service on the example of application shown in the article "Building REST service with Scala". To create the tests, I am going to use spray-testkit DSL, as it provides a simple way to test route logic for services built with spray-routing.

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'Building REST service with Scala' post illustration
Building REST service with Scala

Enterprise application might be developed using a variety of architectural styles. And REST is one of the most powerful of them. It allows us to build simple, scalable, highly productive APIs with independent components on the basis of widespread standards like HTTP, MIME etc, engaging their true potential.

Let's discuss how to create a lightweight, but full-featured RESTful service from scratch.

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'Easy REST with Spring RestTemplate and JAX-B' post illustration
Easy REST with Spring RestTemplate and JAX-B

Representational state transfer (REST) is a very popular architecture for distributed hypermedia. Lots of different web services expose their APIs in a RESTful manner. It is very convenient when a service of a choice provides a library for its API, but this is not always so. In this case you have to construct valid requests and parse responses by yourself. Assuming that you are familiar with REST itself, I will tell you how you can make your life easier with the help of Spring and Java annotations.