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Here is a collection of articles and news on scalable systems. The links are updated via RSS sources. You can subscribe to this page via RSS feed or by email.

  • Posted on Sunday August 20, 2017
    Abstract Most popular task monitor systems (such as top, iotop, proc, etc) can only get tasks’ disk I/O information like tasks’ I/O utilization percentage every seconds due to kernel timer/tick frequency and high time cost of system interfaces. This article presents I/O Microscopy, a new way to get tasks’ disk I/O ... Continue Reading »
  • Posted on Friday August 18, 2017
    Sorry about missing last week, but my birthday won out over working:   Ouch! @john_overholt: My actual life is now a science exhibit about the primitive conditions of the past.If you like this sort of Stuff then please support me on Patreon. 1PB: SSD in 1U chassis; 90%: savings using EC2 Spot for containers; 16: forms ... Continue Reading »
  • Posted on Tuesday August 15, 2017
    Who's Hiring? Close.io is a ~25 person fully remote team that is profitable and building a product our customers love! We’re hiring Senior Backend Developers to join our team. Our backend tech stack currently includes Python (Flask, Gunicorn, TaskTiger), Elasticsearch, MongoDB, Postgres, and Redis running in Docker/Kubernetes on AWS. Learn more ... Continue Reading »
  • Posted on Monday August 14, 2017
      Enterprises won't move to the cloud. If they do, it's tantamount to admitting your IT group sucks. That has been the common wisdom. Morningstar, an investment research provider, is moving to the cloud and they're about as enterprisey as it gets. And they don't strike me as incompetent, they just ... Continue Reading »
  • Posted on Friday August 04, 2017
    Hey, it's HighScalability time:Hands down the best ever 25,000 year old selfie from Pech Merle cave in southern France. (The Ice Age)If you like this sort of Stuff then please support me on Patreon. 35%: US traffic is now IPV6; 10^161: decision points in no-limit Texas hold’em; 4.5 billion: Facebook translations per day; 90%: savings ... Continue Reading »
  • Posted on Wednesday August 02, 2017
      Many moons ago, in Building Super Scalable Systems: Blade Runner Meets Autonomic Computing In The Ambient Cloud, I said we still had scaling challenges ahead, that we've not yet begun to scale, that we still don't know how to scale at a planetary level. That was 7 years ago. Now Facebook ... Continue Reading »
  • Posted on Tuesday August 01, 2017
    Who's Hiring? Apple is looking for passionate VoIP engineer with a strong technical background to transform our Voice platform to SIP. It will be an amazing journey with highly skilled, fast paced, and exciting team members. Lead and implement the engineering of Voice technologies in Apple’s Contact Center environment. The Contact ... Continue Reading »
  • Posted on Friday July 28, 2017
    Hey, it's HighScalability time:  Jackson Pollock painting? Cortical column? Nope, it's a 2 trillion particle cosmological simulation using 4000+ GPUs. (paper, Joachim Stadel, UZH)If you like this sort of Stuff then please support me on Patreon. 1.8x: faster code on iPad MacBook Pro; 1 billion: WhatsApp daily active users; 100 milliamps: heart stopping current; $25m: surprisingly low take ... Continue Reading »
  • Posted on Tuesday July 25, 2017
      CubeSats are revolutionizing space exploration because they are small, modular, and inexpensive to build and launch. On an episode of embedded.fm, Professor Jordi Puig-Suari gives a fascinating interview on the invention of the CubeSat. 195: A BUNCH OF SPUTNIKS. What struck me in the interview is how the process of how the CubeSat was invented parallels ... Continue Reading »
  • Posted on Friday July 21, 2017
    Hey, it's HighScalability time:Afraid of AI? Fire ants have sticky pads so they can form rafts, build towers, cross streams, & order takeout. We can CRISPR these guys to fight Skynet. (video, video, paper)If you like this sort of Stuff then please support me on Patreon. 222x: Bitcoin less efficient than a physical system ... Continue Reading »
  • Posted on Monday July 17, 2017
      Think your startup has a Big Hairy Audacious Goal? Along with President Thomas Jefferson, John Jacob Astor  conceived (in 1808), and implemented (in 1810) a plan to funnel the entire tradable wealth of the westernmost sector of the North American continent north of Mexico through his own hands. Early accounts described it as “the largest commercial enterprise ... Continue Reading »
  • Posted on Tuesday February 14, 2017
    Motivation Recently, I find it is hard to know the percentage of time that one process uses to wait for synchronous I/O (eg, read, etc). One way is to use the taskstats API provided by Linux Kernel [1]. However, for this way, the precision may be one problem. With this problem, ... Continue Reading »
  • Posted on Sunday November 29, 2015
    Amazon S3 is a widely used public cloud storage system. S3 allows an object/file to be up to 5TB which is enough for most applications. The AWS Management Console provides a Web-based interface for users to upload and manage files in S3 buckets. However, uploading a large files that is ... Continue Reading »
  • Posted on Tuesday March 10, 2015
    Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. The rise of omni-channel retail that integrates marketing, ... Continue Reading »
  • Posted on Sunday September 14, 2014
    Hadoop 2 or YARN is the new version of Hadoop. It adds the yarn resource manager in addition to the HDFS and MapReduce components. Hadoop MapReduce is a programming model and software framework for writing applications, which is an open-source variant of MapReduce designed and implemented by Google initially for ... Continue Reading »
  • Posted on Tuesday March 18, 2014
    Benchmarks are important to understand the performance and quantitative and qualitative comparison of different systems. Many analytic frameworks, such as Hive, Impala and Shark, are designed and implemented these years and become fundamental software for processing big data. How to benchmark these big data analytic systems is an interesting problem. The ... Continue Reading »
  • Posted on Tuesday February 04, 2014
    The public cloud storage services like Amazon S3, Google Cloud Storage and Windows Azure Storage replicate the data to ensure high availability. On the other hand, with data being replicated, the storage services exhibits certain data consistency models. Different cloud service providers employ different data consistency models nowadays. In this ... Continue Reading »
  • Posted on Tuesday August 20, 2013
    The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and ... Continue Reading »
  • Posted on Friday July 19, 2013
    Software Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean. You can download the slides from Software Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean. These slides contain the “Numbers everyone should know” which everyone working on systems should be familiar with. Numbers Everyone Should Know L1 cache reference ... Continue Reading »
  • Posted on Wednesday July 17, 2013
    Here is a list of tutorials for learning how to write MapReduce programs on Hadoop, the opensource MapReduce implementation with HDFS. MapReduce Tutorials The official tutorial on Hadoop MapReduce framework: http://hadoop.apache.org/docs/r1.0.4/mapred_tutorial.html. Yahoo! Hadoop Tutorial A comprehensive tutorial on Hadoop from Yahoo! Developer Network: http://developer.yahoo.com/hadoop/tutorial/. More about MapReduce To better understand the design behind MapReduce, it is ... Continue Reading »
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2 comments:

  1. Note for blog authors: if you do not want your articles appear here (we just post a excerpt, not the full content), please drop me a message and I will delete them. If you have good suggestions on blogs/sites (with a RSS feed) to add to this list, please also let me know.

  2. Yeah, the poll() function is broken on MacOS and therefore is not supported in Python for the Mac.The select library supports other polling mechanisms; it essentially exposes whatever the OS supports. Let me look into an update to the code that will use kevent on Macs.

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