Swagger 2.0 - 0 views
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"Swagger is a simple yet powerful representation of your RESTful API. With the largest ecosystem of API tooling on the planet, thousands of developers are supporting Swagger in almost every modern programming language and deployment environment. With a Swagger-enabled API, you get interactive documentation, client SDK generation and discoverability."
What's Your Next JVM Language? - 0 views
GraphQL | A query language for your API - 0 views
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"GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools."
RAML - RESTful API modeling language - 0 views
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"RESTful API Modeling Language (RAML) is a simple and succinct way of describing practically-RESTful APIs. It encourages reuse, enables discovery and pattern-sharing, and aims for merit-based emergence of best practices. The goal is to help our current API ecosystem by solving immediate problems and then encourage ever-better API patterns. RAML is built on broadly-used standards such as YAML and JSON and is a non-proprietary, vendor-neutral open spec."
restQL - microservice query language - 0 views
The Twelve-Factor App - 2 views
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The twelve-factor app is a methodology for building software-as-a-service apps that: Use declarative formats for setup automation, to minimize time and cost for new developers joining the project; Have a clean contract with the underlying operating system, offering maximum portability between execution environments; Are suitable for deployment on modern cloud platforms, obviating the need for servers and systems administration; Minimize divergence between development and production, enabling continuous deployment for maximum agility; And can scale up without significant changes to tooling, architecture, or development practices. The twelve-factor methodology can be applied to apps written in any programming language, and which use any combination of backing services (database, queue, memory cache, etc).
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"Introduction In the modern era, software is commonly delivered as a service: called web apps, or software-as-a-service. The twelve-factor app is a methodology for building software-as-a-service apps that: Use declarative formats for setup automation, to minimize time and cost for new developers joining the project; Have a clean contract with the underlying operating system, offering maximum portability between execution environments; Are suitable for deployment on modern cloud platforms, obviating the need for servers and systems administration; Minimize divergence between development and production, enabling continuous deployment for maximum agility; And can scale up without significant changes to tooling, architecture, or development practices. The twelve-factor methodology can be applied to apps written in any programming language, and which use any combination of backing services (database, queue, memory cache, etc). Background The contributors to this document have been directly involved in the development and deployment of hundreds of apps, and indirectly witnessed the development, operation, and scaling of hundreds of thousands of apps via our work on the Heroku platform. This document synthesizes all of our experience and observations on a wide variety of software-as-a-service apps in the wild. It is a triangulation on ideal practices for app development, paying particular attention to the dynamics of the organic growth of an app over time, the dynamics of collaboration between developers working on the app's codebase, and avoiding the cost of software erosion. Our motivation is to raise awareness of some systemic problems we've seen in modern application development, to provide a shared vocabulary for discussing those problems, and to offer a set of broad conceptual solutions to those problems with accompanying terminology. The format is inspired by Martin Fowler's books Patterns of Enterprise Application Architecture and Refactoring. Who should
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Bueno. Eso. Compartí el que me di cuenta que puso antes Pablo en vez del original por error, pero la idea entre ambos, si la obviedad es tolerable, es idéntica :) Está muy bien estructurado en cuanto que cada factor depende de los demás a la vez que los promueve. Permite un enfoque general que incluye prácticas de arquitectura - y de armado cotidiano de productos - que posibilitan llegar donde yo entiendo - según me voy enterando - que es el lugar a donde llegar. Sin embargo, creo que ni éste departamento en sus sistemas más nuevos cumple todos y cada uno de aquellos factores. Esto, lejos de ser una crítica, es una invitación para que revisemos si es el único método posible - cosa improbabilísima - o el mejor método - también bastante improblable - a seguir. Lo que sí sostengo como un absoluto - quien no lo haría - es que es un método practicable. Mi aporte mínimo es defenderlo como uno bueno.
The Intelligent Transport Layer - zeromq - 0 views
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Ø The socket library that acts as a concurrency framework. Ø Faster than TCP, for clustered products and supercomputing. Ø Carries messages across inproc, IPC, TCP, and multicast. Ø Connect N-to-N via fanout, pubsub, pipeline, request-reply. Ø Asynch I/O for scalable multicore message-passing apps. Ø Large and active open source community. Ø 30+ languages including C, C++, Java, .NET, Python. Ø Most OSes including Linux, Windows, OS X. Ø LGPL free software with full commercial support from iMatix.
Scaldi - 0 views
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"Scaldi - is Scala dependency injection library. Basically Scala already have everything you need for dependency injection. But still some things can be made easier. Goal of the project is to provide more standard and easy way to make dependency injection in Scala projects consuming power of the Scala language. "
thinkaurelius/faunus - 0 views
FaKod/neo4j-scala - 0 views
sweet.js - 0 views
longevity - 1 views
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"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."
CS276B Project Report: Streaming XPath Engine - 0 views
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"Our project (titled xstream) concentrated on evaluation of XPath over XML streams. This research area contains multiple challenges resulting from both the richness of the language and the requirement of having only a single pass over the data. We modified and extended one of the known algorithms, TurboXPath [4], a tree-based IBM algorithm. We also provide extensive comparative analysis between TurboXPath and XSQ [5], currently the most advanced of finite automata (FA)-based algorithms."
Querying XML streams - 0 views
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"In this paper we propose the TurboXPath path processor, which accepts a language equivalent to a subset of the for-let-where constructs of XQuery over a single document. TurboXPath can be extended to provide full XQuery support or used to augment federated database engines for efficient handling of queries over XML data streams produced by external sources. Internally, TurboXPath uses a tree-shaped path expression with multiple outputs to drive the execution. The result of a query execution is a sequence of tuples of XML fragments matching the output nodes. Based on a streamed execution model, TurboXPath scales up to large documents and has limited memory consumption for increased concurrency"
SymbolHound: Search Better. Code Better. - 0 views
Scala Puzzlers - 0 views
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"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. "
shark - 0 views
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"Shark is a large-scale data warehouse system for Spark designed to be compatible with Apache Hive. It can execute Hive QL queries up to 100 times faster than Hive without any modification to the existing data or queries. Shark supports Hive's query language, metastore, serialization formats, and user-defined functions, providing seamless integration with existing Hive deployments and a familiar, more powerful option for new ones."
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