Making pattern matching in a Scala application isn't very straightforward. In our article, we review a few ways to handle exceptions or mitigate the problem when using pattern matching.
Your Scala applications often need to track the status of the sent emails. In this article, we’ll review how to employ Amazon SNS to track email statuses via Amazon SES.
Implementing pagination with Slick is a common task in Scala projects. But it’s rarely obvious how to build efficient queries on the server to get the necessary entities with additional data. Read our article to find a solution.
ReactiveMongo is an extremely convenient toolkit for working with MongoDB in Scala applications. But, at the same time, its documentation does not cover some of the typical scenarios, so sometimes it takes time to find the right solution. One of such tasks - storing polymorphic objects in a database - is the focus of this blog post.
This post describes two approaches to implementing file download in Lift framework. Firstly, we will have a look at the implementation that uses ResponseShortcutException described in the Lift Cookbook. Then, I'll show how to solve the same task with the help of REST service in the way that follows a common Lift approach. Each of the methods has its own pros and cons, so it's up to you to decide which one works better for your task.
Let's consider the ability to limit the number of HTTP requests being handled by an application simultaneously.
Usually a data access object for MongoDB consists of common routine CRUD methods. Those methods should be implemented, tested, maintained just like any other code. In this post, I'm going to show you how to use
SalatDAO to vastly simplify the process.
Generally, Salat is used for serialization of case classes, enums and collections to
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.
One of the steps towards building a successful distributed software system is establishing effective configuration management. It is a complex engineering process which is responsible for planning, identifying, tracking and verifying changes in the software and its configuration as well as maintaining configuration integrity throughout the life cycle of the system.
Let's consider how to store and manage configuration settings of the entire system and its components using Apache ZooKeeper, a high-performance coordination service for distributed applications.
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.
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.