high_scalability high_scalability-2013 high_scalability-2013-1545 knowledge-graph by maker-knowledge-mining
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Introduction: Hey, it's HighScalability time: Robot elephan t from 1950, which consisted of 9000 parts and could walk 27 mp/h Galaxy contains billions of potentially habitable planets . According to economic theory this should put a downward pressure on rents. Quotable Quotes: Brandon Downey : F*ck these guys. @IEEEorg : Every second 21.6 people get their first mobile device. Mobile is growing 5 times faster than the human population. @littleidea : a distributed system to deploy a distributed systems to deploy a distributed system, bring your own turtles @BenedictEvans : Photos shared/day: Facebook - 350m Snapchat - 350m Whatsapp - 400m Instagram: 55m. @SciencePorn : Price of 1gb of storage over time: 1981 $300000, 1987 $50000, 1990 $10000, 1994 $1000, 1997 $100, 2000 $10, 2004 $1, 2012 $0.10 @kellabyte : If I hear “network partitions are rare on even hundred(s) of node clusters” again I’m going to lose my shit. This fall
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1 @littleidea : a distributed system to deploy a distributed systems to deploy a distributed system, bring your own turtles @BenedictEvans : Photos shared/day: Facebook - 350m Snapchat - 350m Whatsapp - 400m Instagram: 55m. [sent-7, score-0.198]
2 When Facebook is building entire dead cities for pictures nobody will ever see again, the pure honesty of saying those pictures aren't really worth saving is refreshing. [sent-20, score-0.269]
3 It rooted in the high schools, grew by word of mouth, allowed the free expression and creativity, easy to use, mobile first, group oriented, thrill of random rewards, etc. [sent-21, score-0.144]
4 Adults are all about memory and Facebook perfectly reflects that ethos. [sent-24, score-0.072]
5 I didn't see mention of controlling performance variance to bring down the long tail, but it's clear Rackspace sees the mobile BigData future as requiring speed and that's where they plan to be. [sent-30, score-0.082]
6 Your car is now an embedded real-time system of great complexity. [sent-32, score-0.219]
7 Toyota Acceleration Case : Memory corruption as little as one bit flip can cause a task to die. [sent-34, score-0.248]
8 , bit flip — or via one of the many software bugs, such as buffer overflows and race conditions, we identified in the code. [sent-37, score-0.147]
9 There are tens of millions of combinations of untested task death, any of which could happen in any possible vehicle/software state. [sent-38, score-0.101]
10 8xlarge machines as spot instances is a great way to get a LOT of computer power very cheaply. [sent-42, score-0.187]
11 8xlarge machines out-performs and is cheaper than a large number of lesser instances (and I tried most of the lesser machines). [sent-45, score-0.314]
12 Pete Warden on why Why manual memory management can be worse for performance than garbage collection . [sent-85, score-0.072]
13 But I can always fix a manual memory management system. [sent-87, score-0.072]
14 Eliminating unexplained traffic jams : Counterintuitively, a car equipped with Horn’s system would also use sensor information about the distance and velocity of the car behind it. [sent-101, score-0.572]
15 A car that stays roughly halfway between those in front of it and behind it won’t have to slow down as precipitously if the car in front of it brakes; but it will also be less likely to pass on any unavoidable disruptions to the car behind it. [sent-102, score-0.863]
16 : Systems biologist Michael White, writing for Pacific Standard, dismisses the narrative that our genetic material is a “highly sophisticated, finely tuned data storage and processing device. [sent-108, score-0.227]
17 ” Instead, he says, it is an apocalyptic wasteland “littered with the rubble of ancient and ongoing battles with hordes of viruses, clone armies of genetic parasites, and zombie genes that should be dead but aren’t. [sent-109, score-0.232]
18 ” Arguing towards an ecology of the eukaryote genome, he likens it to an ecosystem full of communities that have grown, preserved, interacted and competed with each other in a complex system of relationships. [sent-110, score-0.124]
19 zRAM increases performance by avoiding paging on disk and instead uses a compressed block device in RAM in which paging takes place until it is necessary to use the swap space on the hard disk drive. [sent-112, score-0.176]
20 Naiad: A Timely Dataflow System : Naiad is a distributed system for executing data parallel, cyclic dataflow programs. [sent-113, score-0.159]
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Introduction: We are on the edge of two potent technological changes: Clouds and Memory Based Architectures. This evolution will rip open a chasm where new players can enter and prosper. Google is the master of disk. You can't beat them at a game they perfected. Disk based databases like SimpleDB and BigTable are complicated beasts, typical last gasp products of any aging technology before a change. The next era is the age of Memory and Cloud which will allow for new players to succeed. The tipping point will be soon. Let's take a short trip down web architecture lane: It's 1993: Yahoo runs on FreeBSD, Apache, Perl scripts and a SQL database It's 1995: Scale-up the database. It's 1998: LAMP It's 1999: Stateless + Load Balanced + Database + SAN It's 2001: In-memory data-grid. It's 2003: Add a caching layer. It's 2004: Add scale-out and partitioning. It's 2005: Add asynchronous job scheduling and maybe a distributed file system. It's 2007: Move it all into the cloud. It's 2008: C
Introduction: All in all this is still my favorite post and I still think it's an accurate vision of a future. Not everyone agrees, but I guess we'll see..."But it is not complicated. [There's] just a lot of it." \--Richard Feynmanon how the immense variety of the world arises from simple rules.Contents:Have We Reached the End of Scaling?Applications Become Black Boxes Using Markets to Scale and Control CostsLet's Welcome our Neo-Feudal OverlordsThe Economic Argument for the Ambient CloudWhat Will Kill the Cloud?The Amazing Collective Compute Power of the Ambient CloudUsing the Ambient Cloud as an Application RuntimeApplications as Virtual StatesConclusionWe have not yet begun to scale. The world is still fundamentally disconnected and for all our wisdom we are still in the earliest days of learning how to build truly large planet-scaling applications.Today 350 million users on Facebook is a lot of users and five million followers on Twitter is a lot of followers. This may seem like a lot now, but c
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