Designing Tinder - High Scalability -
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he created a platform for experimenting with different hypothe
Linux Kernel vs. Memory Fragmentation (Part I) - High Scalability -
Now, let‘s get started. Linux buddy memory allocatorLinux uses the buddy algorithm as a page allocator, which is simple and efficient. Linux has made some extensions to the classic algorithm: Partitions' buddy allocatorPer-CPU pagesetGroup by migration typesThe Linux kernel uses node, zone, and page to describe physical memory. The partitions' buddy allocator focuses on a certain zone on a certain
More concurrency: Improved locking in PostgreSQL - High Scalability -
If you want to build a large scale website, scaling out the webserver is not enough. It is also necessary to cleverly manage the database side. a key to high scalability is locking. In PostgreSQL we got a couple of new cool features to reduce locking and to speed up things due to improved concurrency. General recommendations: Before attacking locking, however, it makes sense to check what is re
Strategy: Taming Linux Scheduler Jitter Using CPU Isolation and Thread Affinity - High Scalability -
When nanoseconds matter you have to pay attention to OS scheduling details. Mark Price, who works in the rarified high performance environment of high finance, shows how in his excellent article on Reducing system jitter. For a tuning example he uses the famous Disrupter inter-thread messaging library. The goal is to keep the OS continuously feeding CPUs work from high priority threads. His baseli
RebornDB: the Next Generation Distributed Key-Value Store - High Scalability -
« Stuff The Internet Says On Scalability For July 10th, 2015 | Main | Sponsored Post: VoltDB, Datadog, Tumblr, Power Admin, Learninghouse, MongoDB, Internap, Aerospike, SignalFx, InMemory.Net, Couchbase, VividCortex, MemSQL, Scalyr, AiScaler, AppDynamics, ManageEngine, Site24x7 » There are many key-value stores in the world and they are widely used in many systems. E.g, we can use a Memcached to s
How and Why Swiftype Moved from EC2 to Real Hardware - High Scalability -
« In-Memory Computing at Aerospike Scale: When to Choose and How to Effectively Use JEMalloc | Main | Stuff The Internet Says On Scalability For March 13th, 2015 » This is a guest post by Oleksiy Kovyrin, Head of Technical Operations at Swiftype. Swiftype currently powers search on over 100,000 websites and serves more than 1 billion queries every month. When Matt and Quin founded Swiftype in 2012
Netflix: Developing, Deploying, and Supporting Software According to the Way of the Cloud - High Scalability -
At a Cloud Computing Meetup, Siddharth "Sid" Anand of Netflix, backed by a merry band of Netflixians, gave an interesting talk: Keeping Movies Running Amid Thunderstorms. While the talk gave a good overview of their move to the cloud, issues with capacity planning, thundering herds, latency problems, and simian armageddon, I found myself most taken with how they handle software deployment in the c
How Facebook Makes Mobile Work at Scale for All Phones, on All Screens, on All Networks - High Scalability -
« 5 Tips for Scaling NoSQL Databases: Don’t Trust Assumptions—Test, Test, Test! | Main | Stuff The Internet Says On Scalability For September 19th, 2014 » Update: Instagram Improved Their App's Performance. Here's How. When you find your mobile application that ran fine in the US is slow in other countries, how do you fix it? That’s a problem Facebook talks about in a couple of enlightening videos
Tumblr: Hashing Your Way to Handling 23,000 Blog Requests per Second - High Scalability -
« Sponsored Post: Apple, Gawker, FoundationDB, Monitis, Cie Games, BattleCry, Surge, Cloudant, CopperEgg, Logentries, Couchbase, MongoDB, BlueStripe, AiScaler, Aerospike, AppDynamics, ManageEngine, Site24x7 | Main | Stuff The Internet Says On Scalability For August 1st, 2014 » This is a guest post by Michael Schenck, SRE Staff Engineer at Tumblr. At Tumblr, blogs (or Tumblelog) are one of our most
9 Principles of High Performance Programs - High Scalability -
Arvid Norberg on the libtorrent blog has put together an excellent list of principles of high performance programs, obviously derived from hard won experience programming on bittorrent: Two fundamental causes of performance problems: Memory Latency. A big performance problem on modern computers is the latency of SDRAM. The CPU waits idle for a read from memory to come back. Context Switching. When
Update on Disqus: It's Still About Realtime, But Go Demolishes Python - High Scalability -
« Stuff The Internet Says On Scalability For May 9th, 2014 | Main | The Quest for Database Scale: the 1 M TPS challenge - Three Design Points and Five common Bottlenecks to avoid » Our last article on Disqus: How Disqus Went Realtime With 165K Messages Per Second And Less Than .2 Seconds Latency, was a little out of date, but the folks at Disqus have been busy implementing, not talking, so we don'
10 Tips for Optimizing NGINX and PHP-fpm for High Traffic Sites - High Scalability -
« Paper: Can Programming Be Liberated From The Von Neumann Style? | Main | Sponsored Post: Apple, Wargaming.net, PagerDuty, HelloSign, CrowdStrike, Gengo, ScaleOut Software, Couchbase, Tokutek, MongoDB, BlueStripe, AiScaler, Aerospike, LogicMonitor, AppDynamics, ManageEngine, Site24x7 » Adrian Singer has boiled down 7 years of experience to a set of 10 very useful tips on how to best optimize NGIN
Here's a 1300 Year Old Solution to Resilience - Rebuild, Rebuild, Rebuild - High Scalability -
« Stuff The Internet Says On Scalability For April 25th, 2014 | Main | This is why Microsoft won. And why they lost. » How is it possible that a wooden Shinto shrine built in the 7th century is still standing? The answer depends on how you answer this philosophical head scratcher: With nearly every cell in your body continually being replaced, are you still the same person? The Ise Grand Shrine ha
How the AOL.com Architecture Evolved to 99.999% Availability, 8 Million Visitors Per Day, and 200,000 Requests Per Second - High Scalability -
« Sponsored Post: Couchbase, Tokutek, Logentries, Booking, Apple, MongoDB, BlueStripe, AiScaler, Aerospike, LogicMonitor, AppDynamics, ManageEngine, Site24x7 | Main | Stuff The Internet Says On Scalability For February 14th, 2014 » This is a guest post by Dave Hagler Systems Architect at AOL. The AOL homepages receive more than 8 million visitors per day. That’s more daily viewers than Good Morni
10 Things You Should Know About AWS - High Scalability -
« Paper: Tempest: Scalable Time-Critical Web Services Platform | Main | ESPN's Architecture at Scale - Operating at 100,000 Duh Nuh Nuhs Per Second » Authored by Chris Fregly: Former Netflix Streaming Platform Engineer, AWS Certified Solution Architect and Purveyor of fluxcapacitor.com. Ahead of the upcoming 2nd annual re:Invent conference, inspired by Simone Brunozzi’s recent presentation at an
11 Common Web Use Cases Solved in Redis - High Scalability -
« Myth: Google Uses Server Farms So You Should Too - Resurrection of the Big-Ass Machines | Main | Sponsored Post: TripAdvisor, eHarmony, NoSQL Now!, Surge, BioWare, Tungsten, deviantART, Aconex, Hadapt, Mathworks, AppDynamics, ScaleOut, Membase, CloudSigma, ManageEngine, Site24x7 » In How to take advantage of Redis just adding it to your stack Salvatore 'antirez' Sanfilippo shows how to solve som
The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds - High Scalability -
Toy solutions solving Twitter’s “problems” are a favorite scalability trope. Everybody has this idea that Twitter is easy. With a little architectural hand waving we have a scalable Twitter, just that simple. Well, it’s not that simple as Raffi Krikorian, VP of Engineering at Twitter, describes in his superb and very detailed presentation on Timelines at Scale. If you want to know how Twitter work
Awesome List of Advanced Distributed Systems Papers - High Scalability -
As part of Dr. Indranil Gupta's CS 525 Spring 2011 Advanced Distributed Systems class, he has collected an incredible list of resources on distributed systems. His research group is also doing some interesting work. The various topics include: Before there Were Clouds, Cloud Computing, P2P Systems, Basic Distributed Computing Concepts, Sensor Networks, Overlays and DHTs, Cloud Programming, Cloud S
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