high_scalability high_scalability-2014 high_scalability-2014-1603 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: Hey, it's HighScalability time: Plus ça change, plus c'est la même chose ( full ) Quotable Quotes: @ML_Hipster : A machine learning researcher, a crypto-currency expert, and an Erlang programmer walk into a bar. Facebook buys the bar for $27 billion. OH: Network effects don't happen on toll roads. Benedict Evans : Google is a vast machine learning engine... and it spent 10-15 years building that learning engine and feeding it data. Mining Experiment: Running 600 Servers for a Year Yields 0.4 Bitcoin . Yes, this is a far superior way of doing things. Chew up the commons for marginal gain. It's like old times. Game designers, forget the sardines and go hunt some whale . Swrve found : half of free-to-play games’ in-app purchases came from 0.15 percent of players. Only 1.5 percent of players of games in the Swrve network spent any money at all. Google has a beta version of their cloud pricing calculator . The interface is a little fun
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1 5 percent of players of games in the Swrve network spent any money at all. [sent-17, score-0.145]
2 The interface is a little funky with separate "Add to Estimate" sections, but the prices look good. [sent-19, score-0.144]
3 Financial Times’ CTO John O’Donovan : We make more money from our content than from advertising which is a really interesting shift – we are pushing boundaries in terms of how we are getting our content into these different services and platforms. [sent-29, score-0.162]
4 The military wants to be a MoT (Military of Things), not people. [sent-30, score-0.111]
5 Think of WL as a programmable cross between Google's knowledge graph and IBM's Watson. [sent-39, score-0.212]
6 Only Google's knowledge graph is closed and only profits Google. [sent-40, score-0.212]
7 " It's a symbolic knowledge based language where knowledge about computations and about the world is built into the language. [sent-45, score-0.496]
8 It has features like how to get your friend network from Facebook and build a graph automagically. [sent-52, score-0.177]
9 The graph isn't just a picture, it can be queryied. [sent-53, score-0.103]
10 You can ask it how do your friends break into group? [sent-54, score-0.086]
11 You can also ask it to get the current image from your computer's camera. [sent-56, score-0.086]
12 The fact that it is symbolic means all its capabilities are composable. [sent-64, score-0.126]
13 But the most revolutionary aspect of the technology is that it can be used to fulfill Tesla's idea of wireless power transmission. [sent-76, score-0.176]
14 Chunk balancing took a long time propagate as the number connections between mongos routers and mongod shard servers went into the thousands. [sent-89, score-0.32]
15 The solution was to consolidate mongos routers onto a few hosts. [sent-90, score-0.247]
16 Is this a thing now, making APIs keys readable only once and forever? [sent-98, score-0.096]
17 If you want a good overview of cell phone techology then this page is excellent: It would be useful to give an overview of the cell phone technology here as this is quite inline with our installation. [sent-106, score-0.61]
18 I wish for more hacker-inspired innovation in the protocol arena, where people just invent things only to push boundaries and see how something else might work. [sent-111, score-0.091]
19 On replication strategies, or the return of the long article by Ayende @ Rahien is very good overview of the subject. [sent-112, score-0.089]
20 Covers master/slaves, primary/secondary, multi master, multi write partners, log shipping, oplog, divergent writes. [sent-113, score-0.208]
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Introduction: Hey, it's HighScalability time: Plus ça change, plus c'est la même chose ( full ) Quotable Quotes: @ML_Hipster : A machine learning researcher, a crypto-currency expert, and an Erlang programmer walk into a bar. Facebook buys the bar for $27 billion. OH: Network effects don't happen on toll roads. Benedict Evans : Google is a vast machine learning engine... and it spent 10-15 years building that learning engine and feeding it data. Mining Experiment: Running 600 Servers for a Year Yields 0.4 Bitcoin . Yes, this is a far superior way of doing things. Chew up the commons for marginal gain. It's like old times. Game designers, forget the sardines and go hunt some whale . Swrve found : half of free-to-play games’ in-app purchases came from 0.15 percent of players. Only 1.5 percent of players of games in the Swrve network spent any money at all. Google has a beta version of their cloud pricing calculator . The interface is a little fun
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
Introduction: "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 consider we have no planet wide applications yet. None.Tomorrow the numbers foreshadow a newCambrian explosionof connectivity that will look as
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Introduction: Rick Reedin an upcoming talk in March titledThat's 'Billion' with a 'B': Scaling to the next level at WhatsAppreveals some eye poppingWhatsAppstats:What has hundreds of nodes, thousands of cores, hundreds of terabytes of RAM, and hopes to serve the billions of smartphones that will soon be a reality around the globe? The Erlang/FreeBSD-based server infrastructure at WhatsApp. We've faced many challenges in meeting the ever- growing demand for our messaging services, but as we continue to push the envelope on size (>8000 cores) and speed (>70M Erlang messages per second) of our serving system.But since we don't have that talk yet, let's take a look at a talk Rick Reed gave two years ago on WhatsApp:Scaling to Millions of Simultaneous Connections.Having built a high performance messaging bus in C++ while at Yahoo, Rick Reed is not new to the world of high scalability architectures. The founders are also ex-Yahoo guys with not a little experience scaling systems. So WhatsApp comes by thei
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Introduction: Hey, it's HighScalability time: ( Giant Hurricane on Saturn , here's one in New Orleans ) 1,966,080 cores : Time Warp synchronization protocol using up to 7.8M MPI tasks on 1,966,080 cores of the {Sequoia} Blue Gene/Q supercomputer system. 33 trillion events processed in 65 seconds yielding a peak event-rate in excess of 504 billion events/second using 120 racks of Sequoia. Quotable Quotes: Thad Starner : the longer accessing a device exceeds 2s, the more its actually usage would decrease exponentially. Thus, he made a claim that wrist watch interface always sitting on one's wrist ready to use should be more successful than mobile phones which have to pulled out of the pocket. @joedevon : We came for scalability but we stayed for agility #NoSQL @jahmailay : "Our user base is exploding. I really wish we spent more time on scalability instead of features customers don't use." - Everybody, always. @bsletten : I don’t think it is a
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Introduction: If you’ve got the time, we’ve got the HighScalability: 9nm : IBM's carbon nanotube transistor that outperforms silicon; YouTube : 4 Billion Views/Day; 864GB RAM : 37signals Memcache, $12K Quotable Quotes: Chad Dickerson : You can only get growth by feeding opportunities. @launchany : It amazes me how many NoSQL database vendors spend more time detailing their scalability and no time detailing the data model and design Google : Let's make TCP faster. WhatsApp : we are now able to easily push our systems to over 2 million tcp connections! Sidney Dekker : In a complex system…doing the same thing twice will not predictably or necessarily lead to the same results. @Rasmusfjord : Just heard about an Umbraco site running on Azure that handles 20.000 requests /*second* Herb Sutter with an epic post, Welcome to the Jungle , touching on a lot of themes we've explored on HighScalability, only in a dramatically more competent way. What's after
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Introduction: This post is by Hasan Ceylan , an Open Source software enthusiast from Istanbul. I loved the JPA 1.0 back in early 2000s. I started using it together with EJB 3.0 even before the stable releases. I loved it so much that I contributed bits and parts for JBoss 3.x implementations. Those were the days our company was considerably still small in size. Creating new features and applications were more priority than the performance, because there were a lot of ideas that we have and we needed to develop and market those as fast as we can. Now, we no longer needed to write tedious and error prone xml descriptions for the data model and deployment descriptors. Nor we needed to use the curse called “XDoclet”. On the other side, our company grew steadily, our web site has become the top portal in the country for live events and ticketing. We now had the performance problems! Although the company grew considerably, due to the economics in the industry, we did not make a lot of money. The ch
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