Yesterday concluded the second day of the Web Summit in Dublin, Ireland. We see what happened and what is new from last day at the event.
Twitter’s engineering group, known for various contributions to open source from streaming MapReduce to front-end framework Bootstrap recently announced open sourcing an algorithm that can efficiently recommend content. LinkedIn also open sourced a Machine Learning library of its own, ml-ease. In this article we present the algorithms and what they mean for the open source community.
Twitter Engineering has released details about Manhattan, its real-time, multi-tenant distributed database.
Facebook, Google, LinkedIn, and Twitter have decided to make sure that a relational databases is “web-scale”, so they have put their efforts behind WebScaleSQL, a branch of MySQL 5.6 Community Edition.
Twitter has open sourced their MapReduce streaming framework, called Summingbird. Available under the Apache 2 license, Summingbird is a large-scale data processing system enabling developers to uniformly execute code in either batch-mode (Hadoop/MapReduce-based) or stream-mode (Storm-based) or a combination thereof, called hybrid mode.
Ajax Control Toolkit has been updated to support jQuery and includes a new Twitter control which takes advantage of new Twitter API. It also includes an improved documentation which describes the usage of ToolkitScriptManager.
For many of us Twitter has become an essential communications utility. Since experiencing scalability problems in 2010, Twitter has moved to a loosely coupled service oriented architecture based on the JVM, allowing it new levels of scalability and feature agility. Twitter engineering recently reported a new record throughput and took time out to describe their new architecture.
Twitter has open sourced its Effective Scala guide. The document is on GitHub and is licensed under CC-BY 3.0. Scala is one of the primary programming languages used at Twitter, and most of the Twitter infrastructure is written in Scala. The Effective Scala guide is a series of short essays, a set of "best practices" learned from using Scala inside Twitter.
Twitter and Azul Systems have been elected to serve on the JCP Executive Committee for Java SE/EE, on voting percentages of 32% and 19% respectively. Both firms have also joined the OpenJDK project. VMware is no longer represented.
Twitter has open-sourced Storm, its distributed, fault-tolerant, real-time computation system, at GitHub under the Eclipse Public License 1.0. Storm is the real-time processing system developed by BackType, which is now under the Twitter umbrella.
Customers use a wide variety of technologies for communication and expect the companies they deal with to do the same. This means the same message may need to be sent to a mailing list, a Twitter account, an IRC channel, and a Facebook page. To make this easier, developers can use the Broadcast library for Ruby or its .NET clone, nBroadcast.
Last week SpringSource released a first milestone for Spring Social, a Spring-based template for accessing Twitter, LinkedIn, Tripit and Facebook from within Java programs. Rather than exposing generic, URL-based APIs, the Spring Social APIs are designed specifically for each site and make integrating with those sites straight forward. InfoQ examines the new API as well as some alternatives.
Rick Strahl has created CodePaste.NET, a website that allows .NET code snippets to be shared among social networking and IM users.
As part of its virtual panel series, InfoQ has brought together scalability and performance architects from some of the biggest and most visible projects around, to let us into their secrets for achieving results the rest of us would just dream of.