high_scalability high_scalability-2010 high_scalability-2010-811 knowledge-graph by maker-knowledge-mining

811 high scalability-2010-04-16-Hot Scalability Links for April 16, 2010


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Introduction: Twitter gets a total of 3 billion requests a day via its API ; 105,779,710 registered users; 300,000 new registered users a day; 180 million unique visitors a month; 55 million tweets a day. Who has the most servers? Google 1 million+; Intel 100K; 1&1 Internet 70K; Facebook 30K; Akamai 61K; Rackspace 56k+. Cloud Computing Economies of Scale . James Hamilton gives a fabulous talk breaking down where the costs are in the cloud. It's not where you may think. Higher utilization is the key. More here . Erlang Factory: Andy Gross: Distributed Erlang Systems In Operation: Patterns and Pitfalls by Martin J. Logan. Great overview of architecting distributed systems in Erlang. Covers what you want and don't want in a distributed system and how to compromise those elements, what's common, system design, cluster membership, load balancing, upgrades, debugging, and more. Extreme Scale Computing by Irving Wladawsky-Berger . “An exascale supercomputer capable of a million tr


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1 Twitter gets a total of 3 billion requests a day via its API ; 105,779,710 registered users; 300,000 new registered users a day; 180 million unique visitors a month; 55 million tweets a day. [sent-1, score-0.39]

2 James Hamilton gives a fabulous talk breaking down where the costs are in the cloud. [sent-5, score-0.075]

3 We show that an efficient MMT design can give significant performance improvement by extracting parallelism. [sent-16, score-0.077]

4 A transparently scalable distributed programming language allowing the creation of web applications which can scale transparently through a novel portable continuation-based approach. [sent-21, score-0.343]

5 Swarm embodies the maxim "move the computation, not the data". [sent-22, score-0.174]

6 Gear6 makes memcached infrastructure lower cost on cloud . [sent-30, score-0.083]

7 Infinite web scalability & resilience with Amazon Web Services . [sent-36, score-0.225]

8 Wille Faler provides a simple overview of how to serve semi-dynamic web content with almost infinite horizontal scalability and resilience using Amazon Web Services, with the added boon of making server restores a non-issue . [sent-37, score-0.477]

9 Gear6 decided to use the key-value store Redis because it already had traction among NoSQL users . [sent-43, score-0.079]

10 Amazon Simple Notification Service (Amazon SNS ) is a web service that makes it easy to set up, operate, and send notifications from the cloud. [sent-45, score-0.107]

11 Whether it's social games, social news, social discovery, social search, or other forms of social solutions , developers today are facing new hurdles in building instantly scalable products. [sent-54, score-1.386]

12 The first Social Developer Summit will bring together social application developers to discuss the challenges, solutions, and best practices for building applications in the rapidly expanding social web economy . [sent-55, score-0.629]

13 At the Social Developer Summit, industry experts will share tips and case studies for building high performance social web products. [sent-56, score-0.368]

14 Big Data Workshop - A one-day unconference on Friday, April 23 in Mountain View, CA with a deliberately broad scope including NoSQL, MapReduce, and anything related. [sent-57, score-0.165]


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Introduction: Twitter gets a total of 3 billion requests a day via its API ; 105,779,710 registered users; 300,000 new registered users a day; 180 million unique visitors a month; 55 million tweets a day. Who has the most servers? Google 1 million+; Intel 100K; 1&1 Internet 70K; Facebook 30K; Akamai 61K; Rackspace 56k+. Cloud Computing Economies of Scale . James Hamilton gives a fabulous talk breaking down where the costs are in the cloud. It's not where you may think. Higher utilization is the key. More here . Erlang Factory: Andy Gross: Distributed Erlang Systems In Operation: Patterns and Pitfalls by Martin J. Logan. Great overview of architecting distributed systems in Erlang. Covers what you want and don't want in a distributed system and how to compromise those elements, what's common, system design, cluster membership, load balancing, upgrades, debugging, and more. Extreme Scale Computing by Irving Wladawsky-Berger . “An exascale supercomputer capable of a million tr

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Introduction: Twitter gets a total of 3 billion requests a day via its API ; 105,779,710 registered users; 300,000 new registered users a day; 180 million unique visitors a month; 55 million tweets a day. Who has the most servers? Google 1 million+; Intel 100K; 1&1 Internet 70K; Facebook 30K; Akamai 61K; Rackspace 56k+. Cloud Computing Economies of Scale . James Hamilton gives a fabulous talk breaking down where the costs are in the cloud. It's not where you may think. Higher utilization is the key. More here . Erlang Factory: Andy Gross: Distributed Erlang Systems In Operation: Patterns and Pitfalls by Martin J. Logan. Great overview of architecting distributed systems in Erlang. Covers what you want and don't want in a distributed system and how to compromise those elements, what's common, system design, cluster membership, load balancing, upgrades, debugging, and more. Extreme Scale Computing by Irving Wladawsky-Berger . “An exascale supercomputer capable of a million tr

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Introduction: If you’ve got the time, we’ve got the HighScalability: Google+: 90 million users ; Internet 2011 : 2.1 billion Internet users, 1 trillion YouTube views, 5.9 billion mobile subscriptions; Fusion-io: One Billion IOPS ; 12 atoms: size of IBM's new memory bit ; 32 Million: Stack monthly visitors ; Gmail: 350 Million Users ; TimTebow: 1.5 million Tweets Quotable Quotes: Similarity  : There is no canonical schema anymore. Instead you should ask: What high-volume queries will I need to serve with my data? Then work backwards from there. @kvirjee  : Dis/Agree? -- "there is no problem but scalability, and architecture is its solution" @robpegoraro  : Eternal vigilance can be crowdsourced. Didn't Bill Gates say once that 48 bits would always be enough for an ID? Well, Oracle ran out of bits:  Fundamental Oracle flaw revealed . 64 bits, that's the ticket, ipv6 went 128 bits.  The day Kodak died : We developed the world's first consumer digital camera bu

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