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.
In recent years, new trends like mobile clients and social networks forced web applications to handle more and more concurrent connections. This resulted in new server architectures based on eventing and asynchronicity which you can find for example in Vert.x. Tim Fox told InfoQ what's new in version 2.0 of Vert.x.
In the wake of the NSA revelations in the United States, Skype’s decision to switch from a peer-to-peer network to a server-based network has raised some eyebrows. In a recent email Matthew Kaufman, principal architect of Skype, explained why the change was necessary.
Developers at the LMAX Exchange, an execution venue for trading FX established in the City of London in October 2010, have begun testing Azul's Zing JVM as a way of improving their already impressive response times and throughput rates.
PaaS provider Heroku recently announced an expansion of their global footprint and introduced a set of architectural updates. Although missing a Safe Harbor agreement, Heroku is the latest PaaS vendor to establish a European presence. They have also added a new “scale up” options for cloud processes, isolated networking, and a tool for checking the production readiness of an application.
Oracle has published MySQL Reference Architectures for Massively Scalable Web Infrastructure, a whitepaper outlining recommended topologies for different types and sizes of websites using MySQL for data storage.
Chinese Ecommerce Giant, Alibaba, recently managed to sell $3 billion worth of product in a single 24 hour period. InfoQ got a chance to ask a few questions to Zhuang Zhuoran and Youtan, architects from Tmall and Taobao, about the challenges of handling such loads and how they meet them.
Twitter's infamous Fail Whale was absent on US presidential election day, even as Twitter's servers were handling a serge of 327,452 "tweets" per minute. The firm was able to handle this level of traffic thanks in part to a gradual shift away from Ruby to Java and Scala
Scalability vs distributed transactional semantics,is no longer a compromise as per Google's research work on Spanner. Spanner's features include non-blocking reads, lock-free read only transactions and atomic schema changes across a globally replicated relational database. The central idea that tackles the latency issues with distributed transactions is the exposure of clock uncertainty.
LinkedIn replaced their back-end mobile infrastructure built on Ruby on Rails with Node.js some time ago for performance and scalability reasons. A former LinkedIn team member reacted explaining what went wrong, in his opinion.
O’Reilly’s Velocity conferences target web ops and performance professionals who like you to learn from their peers, exchange ideas with experts, and share best practices and lessons learned. The Velocity Europe 2012 event focuses on the core issues and opportunities that are specific to the European performance and ops community, as well as the most significant worldwide themes and players.
Azul Systems have announced that they are making their pauseless Zing JVM freely available to Open Source developers and projects for use in development and testing.
With over 33% of the market share for US web searches, the servers that power Bing and Yahoo represent one of the largest .NET 4.5 RC applications in continuous production use. The close work between Microsoft’s Bing and .NET teams have resulted in a set of enhancements that should prove useful to anyone running large scale .NET servers.
In their presentation posted at InfoQ systems and data architects Ben Stopford, Farzad Pezeshkpour and Mark Atwell show how RBS leveraged new technologies in their architectures while facing difficult challenges such as regulation, competition and tighter budgets. They also need to cope with stringent technical challenges, for instance with efficiency and scalability.