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InfoQ Homepage Performance & Scalability Content on InfoQ

  • AWS Offers 4TB Memory Virtual Machines

    AWS has now the largest cloud virtual machine in terms of memory, after launching the x1e.32xlarge, a new memory-optimized EC2 instance type. AWS customers can use this new type of instances in their production environments in order to handle the high memory requirements of software like SAP HANA and their in-memory databases.

  • Personalized Notifications at Twitter

    Gary Lam, staff engineer at Twitter, spoke about personalized notifications at QCon London 2017. This involved giving a high-level overview of their personalization and recommendations algorithms, and an explanation of how they work at scale despite the large volumes of data and bi-modal nature of Twitter.

  • Real-Time Notifications at Twitter

    Saurabh Pathak, engineering manager at Twitter, discussed the site's notification architecture at QCon London 2017. This included highlighting key challenges which are unique to Twitter, such as the bimodal nature of the social network, dealing with spikes, and the requirement to serve notifications in real time.

  • Microsoft Has Moved the Windows Code Repo to Git

    Microsoft has completed the move of their Windows codebase from Source Depot to Git using GVFS.

  • Building a Scalable Minimum Viable Product

    Scalability should be considered when developing a Minimum Viable Product (MVP). An MVP needs to be technically scalable and you need to have a plan on how to scale quickly when your MVP attracts many users and becomes successful. Knowing your possible performance bottlenecks and using common sense while developing your MVP will get you very far, says Erik Duindam, CTO at Unboxd.

  • How GitHub Designed its New Load Balancer

    GitHub has been at work for the last year to develop a new load balancer, the GitHub Load Balancer (GLB), aimed to be able to scale to billions of connections per day running on commodity hardware. GitHub engineers Joe Williams and Theo Julienne explain how GLB was designed.

  • How and Why Etsy Moved to an API-First Architecture

    At QCon New York 2016, Etsy software engineer Stefanie Schirmer told how her company successfully transitioned to an API-first architecture that supports multiple devices, addresses server-side performance problems, and was quickly adopted by development teams.

  • Gil Tene: Understanding Hardware Transactional Memory

    In his presentation "Understanding Hardware Transactional Memory" at QCon New York 2016, Gil Tene introduces hardware transactional memory (HTM). Whereas the concept of HTM is not new, it is now finally available in commodity hardware. The purpose of HTM is to be able to write to multiple addresses in memory in an atomical way so that there cannot be inconsistencies in cooperation other threads.

  • SQL Server Now Offers NoSQL Style Memory-Optimized Tables

    SQL Server 2016 is removing a lot of the limitations on memory-optimized tables including the inability to work with the large documents favored by NoSQL style designs.

  • Google Kick-Starts Git Ketch: A Fault-Tolerant Git Management System

    Although development has only started, Google has announced their first commits of Git Ketch, a multi-master Git management system that replicates information across multiple Git servers for resilience and scalability. The changes are based on JGit, a Java-based Git server, although other Git servers may be part of the multi-master cluster.

  • Using Hunk+Hadoop as a Backend for Splunk

    Splunk can now store archived indexes on Hadoop. At the cost of performance, this offers a 75% reduction in storage costs without losing the ability to search the data. And with the new adapters, Hadoop tools such as Hive and Pig can process the Splunk-formatted data.

  • Performance Guru Kirk Pepperdine Reflects on Results of RebelLabs' Performance Survey

    RebelLabs published their Developer Productivity Report, the result of a survey started in March 2015, where they polled the Java development community on Java performance and performance testing methods. To see how these numbers line up with a real world experience, InfoQ spoke with Kirk Pepperdine, CTO at JClarity and well-known performance expert.

  • Parse Got a Tenfold Reliability Improvement Moving from Ruby to Go

    In order to improve scalability, Parse moved part of their services, including their API, from Ruby on Rails to Go, Charity Majors, Engineer at Parse, recounts. In doing so, both their reliability and deployment times benefited greatly.

  • How NGINX Achieves Performance and Scalability

    Owen Garrett, heads of products at Nginx, Inc., has described on Nginx’s blog which design decisions allow NGINX to provide top-in-class performance and scalability.

  • Surviving Success

    Teams rarely consider success as a mode of failure, but not preparing for exceeding their goals can be just as dangerous as ignoring basic software and infrastructure needs. Mark Simms and Mark Souza discuss anti-patterns they've seen and some of the best ways to architect to win in spite of your own success.

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