high_scalability high_scalability-2010 high_scalability-2010-893 knowledge-graph by maker-knowledge-mining
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Introduction: With summer almost gone, it's time to fall into some good links... Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. Tweets of Gold lenidot : with 12 staff, @ tumblr serves 1.5billion pageviews/month and 25,000 signups/day. Now that's scalability! jmtan24 : Funny that whenever a high scalability article comes out, it always mention the shared nothing approach mfeathers : When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade. OyvindIsene : Met an old man with mustache today, he had no opinion on #noSQL . Note to myself: Don't grow a mustache, now or later. vlad003 : Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? And they're both said to be the future. You may be interested in a new DevOps Meetup organized by Dave
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1 With summer almost gone, it's time to fall into some good links. [sent-1, score-0.082]
2 Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. [sent-4, score-0.082]
3 In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. [sent-5, score-0.089]
4 Tweets of Gold lenidot : with 12 staff, @ tumblr serves 1. [sent-6, score-0.087]
5 jmtan24 : Funny that whenever a high scalability article comes out, it always mention the shared nothing approach mfeathers : When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade. [sent-9, score-0.486]
6 OyvindIsene : Met an old man with mustache today, he had no opinion on #noSQL . [sent-10, score-0.37]
7 vlad003 : Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? [sent-12, score-0.216]
8 HP Labs teams up with Hynix to manufacture memristors, plans assault on flash memory in 2013 . [sent-20, score-0.226]
9 MIT developed software that can simulate complicated physical phenomena — how cracks form in building materials, for instance, or fluids flow through irregular channels — on an ordinary smartphone . [sent-22, score-0.769]
10 Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data . [sent-28, score-0.082]
11 Google exec compares colocation cost to cloud computing, critics say apples to sausage . [sent-29, score-0.51]
12 Not surprisingly people disagree and Matt Stansberry has a nice collection of the different arguments. [sent-31, score-0.087]
13 Ricky Ho teaches us how to use Map/Reduce to recommend people connection . [sent-33, score-0.094]
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Introduction: With summer almost gone, it's time to fall into some good links... Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. Tweets of Gold lenidot : with 12 staff, @ tumblr serves 1.5billion pageviews/month and 25,000 signups/day. Now that's scalability! jmtan24 : Funny that whenever a high scalability article comes out, it always mention the shared nothing approach mfeathers : When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade. OyvindIsene : Met an old man with mustache today, he had no opinion on #noSQL . Note to myself: Don't grow a mustache, now or later. vlad003 : Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? And they're both said to be the future. You may be interested in a new DevOps Meetup organized by Dave
2 0.099180475 823 high scalability-2010-05-05-How will memristors change everything?
Introduction: A non-random sample of my tech friends shows that not many have heard of memristors (though I do suspect vote tampering). I'd read a little about memristors in 2008 when the initial hubbub about the existence of memristors was raised. I, however, immediately filed them into that comforting conceptual bucket of potentially revolutionary technologies I didn't have to worry about because like most wondertech, nothing would ever come of it. Wrong. After watching Finding the Missing Memristor by R. Stanley Williams I've had to change my mind. Memristors have gone from "maybe never" to holy cow this could happen soon and it could change everything. Let's assume for the sake of dreaming memristors do prove out. How will we design systems when we have access to a new material that is two orders of magnitude more efficient from a power perspective than traditional transistor technologies, contains multiple petabits (1 petabit = 128TB) of persistent storage, and can be reconfigured t
3 0.084375918 1461 high scalability-2013-05-20-The Tumblr Architecture Yahoo Bought for a Cool Billion Dollars
Introduction: It's being reportedYahoo bought Tumblr for $1.1 billion. You may recallInstagram was profiled on HighScalabilityand they were also bought by Facebook for a ton of money. A coincidence? You be the judge.Just what is Yahoo buying? The business acumen of the deal is not something I can judge, but if you are doing due diligence on the technology then Tumblr would probably get a big thumbs up. To see why, please keep on reading...With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do.Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisingly huge scales: 500 million page views a day, a peak rate of ~40k requests per second, ~3TB of new data to store a day, all running on 1000+ servers.One of the common patt
4 0.082184151 1191 high scalability-2012-02-13-Tumblr Architecture - 15 Billion Page Views a Month and Harder to Scale than Twitter
Introduction: With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do.Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisingly huge scales: 500 million page views a day, a peak rate of ~40k requests per second, ~3TB of new data to store a day, all running on 1000+ servers.One of the common patterns across successful startups is the perilous chasm crossing from startup to wildly successful startup. Finding people, evolving infrastructures, servicing old infrastructures, while handling huge month over month increases in traffic, all with only four engineers, means you have to make difficult choices about what to work on. This was Tumblr's situation. Now with twenty engineers there's enough energy to work on issues an
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Introduction: With summer almost gone, it's time to fall into some good links... Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. Tweets of Gold lenidot : with 12 staff, @ tumblr serves 1.5billion pageviews/month and 25,000 signups/day. Now that's scalability! jmtan24 : Funny that whenever a high scalability article comes out, it always mention the shared nothing approach mfeathers : When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade. OyvindIsene : Met an old man with mustache today, he had no opinion on #noSQL . Note to myself: Don't grow a mustache, now or later. vlad003 : Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? And they're both said to be the future. You may be interested in a new DevOps Meetup organized by Dave
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Introduction: Submitted for your reading pleasure on this tomato killing frosty morn... Now we really know why vampires feed on blood...they are elastically acquiring more compute power. Your Next Computer May Be Made of...Blood! It's those memristors again. Ancient vamps are really just giant super computers. Twitter now at 155 million tweets a day , up from 55 million a year ago. 10,000-core Linux supercomputer built in Amazon cloud By Jon Brodkin. T he 10,000 cores were composed of 1,250 instances with eight cores each, as well as 8.75TB of RAM and 2PB disk space. The cluster ran for eight hours at a cost of $8,500 . Quotable Quotes for $273 Alex: @davidklemke : Holy balls Windows Azure Tables is awesome. Man am I regretting not getting into this cloud stuff sooner, it's scalability heaven. @nik : The volume of tweets we are flowing into HBase is truly staggering #bigdata #datasift @wattersjames : One of the key points I mentioned before: Scalability is being abl
3 0.72821152 1109 high scalability-2011-09-02-Stuff The Internet Says On Scalability For September 2, 2011
Introduction: Scale the modern way / No brush / No lather / No rub-in / Big tube 35 cents - Drug stores / HighScalability: 8868 Tweets per second during VMAs ; Facebook: 250 million photos uploaded each day ; Earth: 7 Billion People Strong Potent quotables: @kevinweil : Wow, 8868 Tweets per second last night during the #VMAs. And that's just the writes -- imagine how many reads we were doing! @tristanbergh : #NoSQL isn't cool, it's a working kludge of existing architectures, bowing to the current tech limits, not transcending them @krishnan : I would love to switch the backend infra to Amazon anytime but our top 20 customers will not allow us @ianozsvald : Learning about all the horrible things that happen when you don't plan (@socialtiesapp) for scalability. Trying to be creative now... After a particularly difficult Jeopardy match, Watson asked IBM to make him a new cognitive chip so he could conti
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Introduction: Submitted for your reading pleasure on this beautiful morning: Group Decision Making in Honey Bee Swarms . In distributed computing systems nodes reach a quorum when deciding what to do as a group. It turns out bees also use quorum logic when deciding on where to nest! Bees do it a bit differently of course: A scout bee votes for a site by spending time at it, somehow the scouts act and interact so that their numbers rise faster at superior sites, and somehow the bees at each site monitor their numbers there so that they know whether they've reached the threshold number (quorum) and can proceed to initiating the swarm's move to this site. Ants use similar mechanisms to control foraging. Distributed systems may share common mechanisms based on their nature as being a distributed system, the components may not matter that much. Fire! Fire! Brent Chapman shows how to put that IT fire out in Incident Command for IT: What We Can Learn from the Fire Department .
5 0.72223669 848 high scalability-2010-06-25-Hot Scalability Links for June 25, 2010
Introduction: Royans Tharakan is blogging like a mad man at the Velocity Conference . Read a summary of many of the presentations on his blog . Zuckerberg almost guarantees 1 billion Facebook users . And I almost believe him. Northscale introduces Membase , a new distributed key-value NoSQL competitor featuring a memcache compatible interface, yet is persistent like a database. Hopefully we'll have more on their internals later. Notable Tweets: Aaron Cordova - scalability means "can change size" and also "works at large sizes" - this conflates two orthogonal features of cloud computing. Jaime Garcia Reinoso - I t's the scalability, stupid! Alex Averbuch - when I read/hear "unlimited/inifinite scalability" I stop reading/listening and start thinking about cake. Dennis Clark - I used to smirk at developers whose main DB experience was in MUMPS or Pick, until I realized those are old-school #NoSQL engines. Hypertable vs. HBase Performance Evaluation .
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1 0.85722804 505 high scalability-2009-02-01-More Chips Means Less Salsa
Introduction: Yes, I just got through watching the Superbowl so chips and salsa are on my mind and in my stomach. In recreational eating more chips requires downing more salsa. With mulitcore chips it turns out as cores go up salsa goes down, salsa obviously being a metaphor for speed. Sandia National Laboratories found in their simulations: a significant increase in speed going from two to four multicores, but an insignificant increase from four to eight multicores. Exceeding eight multicores causes a decrease in speed. Sixteen multicores perform barely as well as two, and after that, a steep decline is registered as more cores are added. The problem is the lack of memory bandwidth as well as contention between processors over the memory bus available to each processor. The implication for those following a diagonal scaling strategy is to work like heck to make your system fit within eight multicores. After that you'll need to consider some sort of partitioning strategy. What's interesti
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Introduction: With summer almost gone, it's time to fall into some good links... Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. Tweets of Gold lenidot : with 12 staff, @ tumblr serves 1.5billion pageviews/month and 25,000 signups/day. Now that's scalability! jmtan24 : Funny that whenever a high scalability article comes out, it always mention the shared nothing approach mfeathers : When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade. OyvindIsene : Met an old man with mustache today, he had no opinion on #noSQL . Note to myself: Don't grow a mustache, now or later. vlad003 : Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? And they're both said to be the future. You may be interested in a new DevOps Meetup organized by Dave
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Introduction: Every day brings news of either more failures of the financial systems or out-right fraud, with the $50 billion Bernard Madoff Ponzi scheme being the latest, breaking all records. This post provide a technical overview of a solution that was implemented for one of the largest banks in China. The solution illustrate how one can use Excel as a front end client and at the same time leverage cloud computing model and mapreduce as well as other patterns to scale-out risk calculations. I'm hoping that this type of approach will reduce the chances for seeing this type of fraud from happening in the future.
4 0.65213192 726 high scalability-2009-10-22-Paper: The Case for RAMClouds: Scalable High-Performance Storage Entirely in DRAM
Introduction: Stanford Info Lab is taking pains to document a direction we've been moving for a while now, using RAM not just as a cache, but as the primary storage medium. Many quality products have built on this model. Even if the vision isn't radical, the paper does produce a lot of data backing up the transition, which is in itself helpful. From the The Abstract: Disk-oriented approaches to online storage are becoming increasingly problematic: they do not scale grace-fully to meet the needs of large-scale Web applications, and improvements in disk capacity have far out-stripped improvements in access latency and bandwidth. This paper argues for a new approach to datacenter storage called RAMCloud, where information is kept entirely in DRAM and large-scale systems are created by aggregating the main memories of thousands of commodity servers. We believe that RAMClouds can provide durable and available storage with 100-1000x the throughput of disk-based systems and 100-1000x lower access lat
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