Group items tagged

Arquillian brings the test to the runtime so you don't have to manage the runtime from the test (or the build). Arquillian eliminates this burden by covering all aspects of test execution, which includes: Managing the lifecycle of the container (or containers) Bundling the test case, dependent classes and resources into a ShrinkWrap archive (or archives) Deploying the archive (or archives) to the container (or containers) Enriching the test case by providing dependency injection and other declarative services Executing the tests inside (or against) the container Capturing the results and returning them to the test runner for reporting

"Organizations across all industries, of all sizes are using the Typesafe Reactive Platform in amazing ways. Read through our case studies with some of the world's most innovative enterprises and startups."

"Cascalog is a fully-featured data processing and querying library for Clojure or Java. The main use cases for Cascalog are processing "Big Data" on top of Hadoop or doing analysis on your local computer. Cascalog is a replacement for tools like Pig, Hive, and Cascading and operates at a significantly higher level of abstraction than those tools."

Spire is a numeric library for Scala which is intended to be generic, fast, and precise. Using features such as specialization, macros, type classes, and implicits, Spire works hard to defy conventional wisdom around performance and precision trade-offs. A major goal is to allow developers to write efficient numeric code without having to "bake in" particular numeric representations. In most cases, generic implementations using Spire's specialized type classes perform identically to corresponding direct implementations.

"Model your domain in the language and style of Domain Driven Design. Implement it using Scala case classes and companion objects. Pass us your subdomain, and we provide the persistence. Persistence concerns, operations and data are abstracted behind an elegant persistence API. We provide you with fully featured repositories for MongoDB and Cassandra. We provide a suite of integration tests to exercise your repositories against a real database, as well as in-memory repositories for other tests."

"Welcome to Scala Puzzlers, the collection of Traps, Pitfalls and Corner Cases in the Scala language. Prepare to be surprised, entertained and...well, puzzled! What is presented here is a selection of seemingly simple examples which demonstrate that there's plenty of head-scratching left in Scala. Let your mind be challenged by unexpected and unintuitive behaviour and results and learn something in the process. "

"The new Docker Registry 2.0 was released on April 16th, 2015. It was completely rewritten in Go with added support for the new Docker Registry HTTP API V2 (thus only working with Docker 1.6+), promising to provide faster and more secure distribution of images. If you work with Docker and for some reason decided not to use the public Docker Hub, a private Docker Registry is an essential part of your architecture. But even if you don't have private images, you will likely need to use your own registry in production/testing for efficiency. The default installation, however, runs without encryption and authentication. I was wondering what's involved in securing it. There is an official tutorial on how to configure TLS on a registry server. TLS/SSL is absolutely necessary for any secure setup, but I also wanted to enable an authentication mechanism. The Configuration Reference document describes two authentication options supported by Docker Registry itself: so-called silly and token solutions. The silly one is apparently only useful for very limited development use-cases. The token solution seems to be more serious, but because of the lack of documentation (at the time of writing), I decided to find an alternative approach to secure it. In this article I'm going to show you how to set up the Docker Registry 2.0 with username/password authentication and SSL using the official Docker Registry image and a custom configured nginx as a proxy server."

"Colossus is a lightweight framework for building high-performance applications in Scala that require non-blocking network I/O. In particular Colossus is focused on low-latency stateless microservices where often the service is little more than an abstraction over a database and/or cache. For this use case, Colossus aims to maximize performance while keeping the interface clean and concise."

"Heluna offers a unique SaaS based anti-spam solution that processes millions of e-mail messages  daily. Heluna turned to the Typesafe Stack - made up of Scala, Akka and Play Framework - in order  to future-proof the platform, and allow it to easily scale out to process well into the hundreds of  millions of e-mails."

"Google Container Registry provides secure, private Docker image storage on Google Cloud Platform. While Docker provides a central registry to store public images, you may not want your images to be accessible to the world. In this case, you must use a private registry. The Google Container Registry runs on Google Cloud Platform, so can be relied upon for consistent uptime and security. The registry can be accessed through an HTTPS endpoint, so you can pull images from any machine, whether it's a Google Compute Engine instance or your own hardware."

"The Go language features, goals, and use cases have forced us to rethink the entire garbage collection stack and have led us to a surprising place. The journey has been exhilarating. This talk describes our journey. It is a journey motivated by open source and Google's production demands. Included are side hikes into dead end box canyons where numbers guided us home. This talk will provide insight into the how and the why of our journey, where we are in 2018, and Go's preparation for the next part of the journey."

Graham Tackley discusses how The Guardian switched all new development from Java to Scala, why they did that, what were the benefits and the problems, and why they did not choose Python+Django.

"1. The Government has already made a commitment to Big Data by classifying it as one of the 'Eight Great Technologies' which will propel the UK to future growth and help it stay ahead in the global race. The 'Information Economy Strategy' reports on the increase in data being generated and the importance of new types of computing power in order to reap the economic value of the data. 2. This paper sets out to cover the following areas: a) Defining Big Data b) High-level trends in Big Data c) Opportunities for Big Data applications 3. In developing this paper, a 'community of interest' has been established comprising policy leads and analysts from across government with an interest in Big Data. This paper draws on their insights, insights from the private sector, academics, and the extensive open source literature on the Big Data topic."