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  • Virtual Panel: Current State of NoSQL Databases

    NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.

  • Graph API in a Large Scale Environment

    MyHeritage is a rapidly-growing destination used around the world to discover, preserve and share family histories. There is increasing demand for our services, accessed both internally and externally by our partners via the FamilyGraph API. Millions of API calls are made every day providing a huge challenge in terms of performance, scalability and security.

  • Big Memory .NET Part 2 - Pile, Our Big Memory Solution for .NET

    In part one, Leonid Ganeline introduced the concept of big memory and discussed why it is so hard to deal with in a .NET environment. In part two, Dmitriy Khmaladze describes their solution NFX Pile; a hybrid memory manager written in C# with 100% managed code.

  • Big Memory .NET Part 1 – The Challenges in Handling 1 Billion Resident Business Objects

    This article describes the concept of Big Memory and concentrates on its applicability to managed execution models like the one used in Microsoft’s Common Language Runtime (CLR). A few different approaches are suggested to resolve GC pausing issues that arise when a managed process starts to store over a few million objects.

  • DevOps is Not a Feature!

    DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools. In this article, Shalom takes us through the differences between management solutions in a pre and post DevOps world.

  • A Few Good Rules

    Peter Neumark from Prezi talks about the importance of deciding what development standards to adopt and to detect when they're past their expiry date. Using Netflix and Prezi as examples, Peter illustrates with technical examples when to stick to standards and when to move on to better solutions.

  • Microservices: Decomposing Applications for Deployability and Scalability

    What are microservices? This article describes the increasingly popular Microservice architecture pattern, used to architect large, complex and long-lived applications as a set of cohesive services that evolve over time.

  • Russ Miles on Antifragility and Microservices

    Currently, Antifragility and Microservices are trending topics and this might be a hint that there are new architectural paradigms or design patterns on their way for building application systems.. We're discussing these new concepts with Russ Miles to find out what they are good for and how to apply them in an architect's or developer's daily business - for existing applications and those to come

  • Improving Your Asynchronous Code Using Tasks, Async and Await

    Dave Marini delves into the history of asynchronous programming on the .NET platform, tracing through the early days of the Asynchronous Programming Model to today’s async/await patterns.

  • Distributing Complex Services in Cross-Geolocational IDCs

    In this interview, first published on InfoQ China, Micro Sun describes some of the techniques Tencent use to scale Qzone, a social networking platform in China with over 600 million monthly active users,

  • SQL Server 2014: NoSQL Speeds with Relational Capabilities

    For the last four years Microsoft has been working on the first rewrite of SQL Server’s query execution since 1998. The goal is to offer NoSQL-like speeds without sacrificing the capabilities of a relational database. At the heart of this is Hekaton, their memory optimized tables. While still accessible via traditional T-SQL operations, internally they are a fundamentally different technology.

  • Interview with Raffi Krikorian on Twitter's Infrastructure

    Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure.

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