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Storm Applied Review and Q&A with the Authors

Storm is a distributed, fault-tolerant, real-time computation system that was originally developed at BackType and later open sourced by Twitter. Storm Applied is a new book from Manning that aims to provide a practical guide on using Storm, both in a development and in a production setting. InfoQ has spoken with two of the book’s authors, Sean T. Allen and Matthew Jankowski.

Sergio De Simone
on Jul 27, 2015
Jonas Bonér on Reactive Systems Anti-Patterns

Taking the opportunity offered by the update to the Reactive Manifesto, InfoQ asked Jonas Bonér, TypeSafe CTO and original author of the first Reactive Manifesto, some questions about his vision of “Reactive” applications. Jonas offered his thoughts about both desirable features of reactive applications and what is not reactive programming.

Sergio De Simone
on Oct 20, 2014
Shift Left Performance Testing - a Different Approach

This article will explain a different approach to traditional Multi User Performance testing; using the same tools but combine them with modern data visualisation techniques to gain early insight into location specific performance and application areas that may have "sleeping" performance issues.

Bernhard Klemm
on Jul 10, 2014
Reliable Auto-Scaling using Feedback Control

Philipp K. Janert explains how to reliably auto-scale systems using a reactive approach based on feedback control which provides a more accurate solution than deterministic or rule-based ones.

Philipp K. Janert
on Feb 19, 2014
Interview: Adrian Cockcroft on High Availability, Best Practices, and Lessons Learned in the Cloud

Netflix is a widely referenced case study for how to effectively operate a cloud application at scale. While their hyper-resilient approach may not be necessary at most organizations, Netflix has advanced the conversation about what it means to build modern systems. In this interview, InfoQ spoke with Adrian Cockcroft who is the Cloud Architect for the Netflix platform.

Richard Seroter
on Oct 11, 2013
CAP Twelve Years Later: How the "Rules" Have Changed

The CAP theorem asserts that any networked shared-data system can have only two of three desirable properties (Consistency, Availability and Partition Tolerance). In this IEEE article, author Eric Brewer discusses how designers can optimize consistency and availability by explicitly handling partitions, thereby achieving some trade-off of all three.

Eric Brewer
on May 30, 2012
Finding the Right Data Solution for Your Application in the Data Storage Haystack

With the recent NoSQL movement there are several alternative data storage solutions available compared to the traditional relational databases. In this article, author Srinath Perera discusses the various data storage options and what to consider when choosing each of these solutions.

Srinath Perera
on Oct 26, 2011
Book Review and Excerpt: Scalability Rules

Martin Abbott and Michael Fisher's book, Scalability Rules, is a compilation of 50 rules for scaling applications based on experience garnered at eBay, Intuit, PayPal, Etsy, Folica and Salesforce. The book is a handy reference for experienced and novice architects, managers, developers and operations personnel through a mix of heuristics and a priority-benefit model to rank the rules.

Jeevak Kasarkod
on Aug 05, 2011
Large-Scale Agile Design & Architecture: Ways of Working

During my 2011 QCon London keynote on "Scaling Lean & Agile: Large, Multisite or Offshore Delivery", I mentioned — as an aside — that, "Architecture is a bad metaphor. We don't construct our software like a building, we grow it like a garden." This prompted many a tweet, and some people were interested in clarification or elaboration.

Craig Larman
on Mar 18, 2011
Gregg Pollack and the How-To of Scaling Rails

Ruby on Rails has done well since its introduction a few years ago but has taken some criticism for not being able to scale. Developers know there is always a right way and a wrong way to solve any problem and scaling Ruby on Rails is no different. Learn about what is being done to address Ruby on Rails and scaling to the enterprise.

Robert Bazinet
on Mar 11, 2009
Using the Concurrency and Coordination Runtime

Nick Gunn provides a practical introduction the Concurrency and Coordination Runtime for .NET. CCR radically changes the way multi-threaded applications are written in .NET, shifting the focus from threads and locks to lightweight, asynchronous tasks.

Nick Gunn
on Jan 28, 2009
Building Scalability and Achieving Performance: A Virtual Panel

Join our industry-heavyweight (eBay, Betfair, FiveRuns and Twitter) panel as they explore the cost of making their sites as scalable as possible, whilst tuning to get the most performance they possibly can. They explore the pros-and-cons of making their apps as awesome as possible - all the while under the pressure of their business requirements.

James Cox
on Jul 22, 2008

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