high_scalability high_scalability-2010 high_scalability-2010-802 knowledge-graph by maker-knowledge-mining

802 high scalability-2010-04-01-Hot Scalability Links for April 1, 2010


meta infos for this blog

Source: html

Introduction: Why NoSQL Will Not Die . Stephan Schmidt explains why you may wait a long time for NoSQL to go to that great bit bucket in the sky. DBMS Musings: Distinguishing Two Major Types of Column-Stores by Daniel Abadi. I have noticed that Bigtable, HBase, Hypertable, and Cassandra are being called column-stores with increasing frequency, due to their ability to store and access column families separately. This makes them appear to be in the same category as column-stores such as Sybase IQ, C-Store, Vertica, VectorWise, MonetDB, ParAccel, and Infobright, which also are able to access columns separately. Cloud Economics, By The Square Foot by Rich Miller. But cloud computing offers a middle path, offering cost and usability advantages for customers, as well as an attractive return for providers. PostgreSQL: meet your queue by Theo Schlossnagle . I really think that cueing your database to publish over AMQP is the bees knees and it turns out I wasn't alone! Scali


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 I have noticed that Bigtable, HBase, Hypertable, and Cassandra are being called column-stores with increasing frequency, due to their ability to store and access column families separately. [sent-4, score-0.099]

2 I really think that cueing your database to publish over AMQP is the bees knees and it turns out I wasn't alone! [sent-9, score-0.181]

3 In this recording from “NoSQL Live Boston” we learn how Graph Data Structures evolved from research into production . [sent-15, score-0.085]

4 MapReduce, Bigtable and Pregel have their origins in Google and they all deal with “large systems”. [sent-17, score-0.095]

5 But all of them may be dwarfed in size and complexity by a new project Google is working on. [sent-18, score-0.11]

6 Talks on “modified MapReduce architecture that allows data to be pipelined between operators” and “an exciting overview on the FlightCaster flight delays prediction service and some cool insights into the airline industry. [sent-21, score-0.261]

7 Technically, Puppet and Chef have similar capabilities, but Puppet has first mover advantage and has colonised most corners of the configuration management world. [sent-30, score-0.188]

8 Brewer’s CAP Theorem - The kool aid Amazon and Ebay have been drinking by Julian Browne. [sent-31, score-0.186]

9 Carefully evaluate the shape of your data, the semantics you want to impose on it, and the operational profile of your application when choosing how you structure your data in Riak. [sent-34, score-0.085]

10 I am against software patents because it is not reasonable to expect that the current patent system, nor even one designed to improve or replace it, will ever be able to accurately determine what might be considered legitimately patentable from the overwhelming volume of innovations in software. [sent-36, score-0.302]

11 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-39, score-0.33]

12 At the Social Developer Summit, industry experts will share tips and case studies for building high performance social web products. [sent-40, score-0.165]

13 At Glue, we'll explore the new technologies that are forming around web applications in a post-cloud world. [sent-42, score-0.089]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('patent', 0.207), ('puppet', 0.173), ('social', 0.165), ('nosql', 0.15), ('chef', 0.134), ('summit', 0.13), ('mike', 0.126), ('bigtable', 0.115), ('infobright', 0.11), ('dwarfed', 0.11), ('flightcaster', 0.11), ('paraccel', 0.11), ('storeby', 0.11), ('iq', 0.103), ('engineby', 0.103), ('monetdb', 0.103), ('amqp', 0.103), ('distinguishing', 0.103), ('julian', 0.103), ('developer', 0.1), ('drinking', 0.099), ('musings', 0.099), ('infrastructureby', 0.099), ('families', 0.099), ('mover', 0.099), ('uber', 0.095), ('gis', 0.095), ('japanese', 0.095), ('origins', 0.095), ('patents', 0.095), ('knees', 0.092), ('airline', 0.092), ('readable', 0.092), ('san', 0.091), ('bees', 0.089), ('spider', 0.089), ('corners', 0.089), ('forming', 0.089), ('aid', 0.087), ('con', 0.087), ('research', 0.085), ('flight', 0.085), ('impose', 0.085), ('shiny', 0.084), ('scaleby', 0.084), ('pipelined', 0.084), ('denver', 0.084), ('toadvertisea', 0.084), ('usfor', 0.084), ('vertica', 0.082)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0000005 802 high scalability-2010-04-01-Hot Scalability Links for April 1, 2010

Introduction: Why NoSQL Will Not Die . Stephan Schmidt explains why you may wait a long time for NoSQL to go to that great bit bucket in the sky. DBMS Musings: Distinguishing Two Major Types of Column-Stores by Daniel Abadi. I have noticed that Bigtable, HBase, Hypertable, and Cassandra are being called column-stores with increasing frequency, due to their ability to store and access column families separately. This makes them appear to be in the same category as column-stores such as Sybase IQ, C-Store, Vertica, VectorWise, MonetDB, ParAccel, and Infobright, which also are able to access columns separately. Cloud Economics, By The Square Foot by Rich Miller. But cloud computing offers a middle path, offering cost and usability advantages for customers, as well as an attractive return for providers. PostgreSQL: meet your queue by Theo Schlossnagle . I really think that cueing your database to publish over AMQP is the bees knees and it turns out I wasn't alone! Scali

2 0.23585901 804 high scalability-2010-04-06-Sponsored Post: Event - Social Developer Summit

Introduction: Social Developer Summit - June 29, 2010 - San Franciso, CA A meeting of the technically social - Building, scaling, and profiting in a social age 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. As new technologies emerge to address the challenges faced by social application developers, it's increasingly important to come together for knowledge sharing purposes. 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 . At the Social Developer Summit, industry experts will share tips and case studies for building high performance social web products. For more information please take a look at Social Developer Summit . If you are interested in a sponsored pos

3 0.23585901 814 high scalability-2010-04-20-Sponsored Post: Event - Social Developer Summit

Introduction: Social Developer Summit - June 29, 2010 - San Franciso, CA A meeting of the technically social - Building, scaling, and profiting in a social age 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. As new technologies emerge to address the challenges faced by social application developers, it's increasingly important to come together for knowledge sharing purposes. 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 . At the Social Developer Summit, industry experts will share tips and case studies for building high performance social web products. For more information please take a look at Social Developer Summit . If you are interested in a sponsored pos

4 0.2066372 811 high scalability-2010-04-16-Hot Scalability Links for April 16, 2010

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

5 0.17069107 954 high scalability-2010-12-06-What the heck are you actually using NoSQL for?

Introduction: It's a truism that we should choose the right tool for the job . Everyone says that. And who can disagree? The problem is this is not helpful advice without being able to answer more specific questions like: What jobs are the tools good at? Will they work on jobs like mine? Is it worth the risk to try something new when all my people know something else and we have a deadline to meet? How can I make all the tools work together? In the NoSQL space this kind of real-world data is still a bit vague. When asked, vendors tend to give very general answers like NoSQL is good for BigData or key-value access. What does that mean for for the developer in the trenches faced with the task of solving a specific problem and there are a dozen confusing choices and no obvious winner? Not a lot. It's often hard to take that next step and imagine how their specific problems could be solved in a way that's worth taking the trouble and risk. Let's change that. What problems are you using NoSQL to sol

6 0.14490283 429 high scalability-2008-10-25-Product: Puppet the Automated Administration System

7 0.13007018 1408 high scalability-2013-02-19-Puppet monitoring: how to monitor the success or failure of Puppet runs

8 0.1269452 1064 high scalability-2011-06-20-35+ Use Cases for Choosing Your Next NoSQL Database

9 0.12151387 801 high scalability-2010-03-30-Running Large Graph Algorithms - Evaluation of Current State-of-the-Art and Lessons Learned

10 0.1193962 835 high scalability-2010-06-03-Hot Scalability Links for June 3, 2010

11 0.11492749 935 high scalability-2010-11-05-Hot Scalability Links For November 5th, 2010

12 0.11457038 183 high scalability-2007-12-12-Report from OpenSocial Meetup at Google

13 0.11427258 931 high scalability-2010-10-28-Notes from A NOSQL Evening in Palo Alto

14 0.11022426 848 high scalability-2010-06-25-Hot Scalability Links for June 25, 2010

15 0.11015403 739 high scalability-2009-11-09-10 NoSQL Systems Reviewed

16 0.10994319 1111 high scalability-2011-09-06-Sponsored Post: FreeAgent, Percona Live!, Strata, Box, BetterWorks, New Relic, NoSQL Now!, Surge, Tungsten, AppDynamics, Couchbase, CloudSigma, ManageEngine, Site24x7

17 0.10959809 1120 high scalability-2011-09-20-Sponsored Post: Rocketfuel, FreeAgent, Percona Live!, Strata, Box, BetterWorks, New Relic, NoSQL Now!, Surge, Tungsten, AppDynamics, Couchbase, CloudSigma, ManageEngine, Site24x7

18 0.10947437 787 high scalability-2010-03-03-Hot Scalability Links for March 3, 2010

19 0.10880785 838 high scalability-2010-06-08-Sponsored Post: Jobs: Digg, Huffington Post Events: Velocity Conference, Social Developer Summit

20 0.10757077 517 high scalability-2009-02-21-Google AppEngine - A Second Look


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.201), (1, 0.038), (2, 0.079), (3, 0.091), (4, 0.077), (5, 0.087), (6, -0.103), (7, -0.042), (8, 0.053), (9, 0.053), (10, 0.045), (11, -0.022), (12, -0.002), (13, -0.069), (14, -0.026), (15, 0.01), (16, 0.002), (17, 0.04), (18, 0.095), (19, 0.039), (20, -0.04), (21, -0.006), (22, 0.047), (23, -0.003), (24, 0.043), (25, 0.017), (26, -0.027), (27, -0.03), (28, -0.073), (29, -0.052), (30, 0.055), (31, -0.032), (32, 0.086), (33, 0.013), (34, 0.065), (35, -0.046), (36, -0.065), (37, 0.047), (38, 0.051), (39, 0.064), (40, 0.022), (41, -0.028), (42, -0.034), (43, 0.042), (44, -0.039), (45, 0.001), (46, -0.063), (47, 0.036), (48, 0.034), (49, 0.011)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.9546181 802 high scalability-2010-04-01-Hot Scalability Links for April 1, 2010

Introduction: Why NoSQL Will Not Die . Stephan Schmidt explains why you may wait a long time for NoSQL to go to that great bit bucket in the sky. DBMS Musings: Distinguishing Two Major Types of Column-Stores by Daniel Abadi. I have noticed that Bigtable, HBase, Hypertable, and Cassandra are being called column-stores with increasing frequency, due to their ability to store and access column families separately. This makes them appear to be in the same category as column-stores such as Sybase IQ, C-Store, Vertica, VectorWise, MonetDB, ParAccel, and Infobright, which also are able to access columns separately. Cloud Economics, By The Square Foot by Rich Miller. But cloud computing offers a middle path, offering cost and usability advantages for customers, as well as an attractive return for providers. PostgreSQL: meet your queue by Theo Schlossnagle . I really think that cueing your database to publish over AMQP is the bees knees and it turns out I wasn't alone! Scali

2 0.83944607 811 high scalability-2010-04-16-Hot Scalability Links for April 16, 2010

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

3 0.72442025 183 high scalability-2007-12-12-Report from OpenSocial Meetup at Google

Introduction: Update: Facebook pulls a Microsoft and embraces and extends by opening their platform to other social sites like Bebo. Very smart and unexpected. More info at Facebook to let other sites access platform code . This month's regular Facebook Meetup was held at Google and the topic of the day was OpenSocial . For those of you with real lives, OpenSocial "provides a common set of APIs for social applications across multiple websites." Over 200 excited people, hoping to do very exciting things, and dreaming of making an exciting pile of money, watched an OpenSocial presentation put on by a couple of appropriately knowledgeable evangelists. I could feel my social graph being more successfully monetized with each passing minute. Normally the meetings are much smaller, but Google puts on a very nice spread, so I think people may have showed up to dine :-) Or they could have showed up to learn why and how they should code to the new uber social API. By the looks of the full pl

4 0.71297491 804 high scalability-2010-04-06-Sponsored Post: Event - Social Developer Summit

Introduction: Social Developer Summit - June 29, 2010 - San Franciso, CA A meeting of the technically social - Building, scaling, and profiting in a social age 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. As new technologies emerge to address the challenges faced by social application developers, it's increasingly important to come together for knowledge sharing purposes. 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 . At the Social Developer Summit, industry experts will share tips and case studies for building high performance social web products. For more information please take a look at Social Developer Summit . If you are interested in a sponsored pos

5 0.71297491 814 high scalability-2010-04-20-Sponsored Post: Event - Social Developer Summit

Introduction: Social Developer Summit - June 29, 2010 - San Franciso, CA A meeting of the technically social - Building, scaling, and profiting in a social age 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. As new technologies emerge to address the challenges faced by social application developers, it's increasingly important to come together for knowledge sharing purposes. 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 . At the Social Developer Summit, industry experts will share tips and case studies for building high performance social web products. For more information please take a look at Social Developer Summit . If you are interested in a sponsored pos

6 0.70296007 723 high scalability-2009-10-16-Paper: Scaling Online Social Networks without Pains

7 0.68505108 842 high scalability-2010-06-16-Hot Scalability Links for June 16, 2010

8 0.68405044 1015 high scalability-2011-04-01-Stuff The Internet Says On Scalability For April 1, 2011

9 0.67066932 883 high scalability-2010-08-20-Hot Scalability Links For Aug 20, 2010

10 0.66730833 838 high scalability-2010-06-08-Sponsored Post: Jobs: Digg, Huffington Post Events: Velocity Conference, Social Developer Summit

11 0.65039116 1327 high scalability-2012-09-21-Stuff The Internet Says On Scalability For September 21, 2012

12 0.63906831 1040 high scalability-2011-05-13-Stuff The Internet Says On Scalability For May 13, 2011

13 0.63863492 787 high scalability-2010-03-03-Hot Scalability Links for March 3, 2010

14 0.63070047 1115 high scalability-2011-09-14-Big List of Scalabilty Conferences

15 0.63063067 722 high scalability-2009-10-15-Hot Scalability Links for Oct 15 2009

16 0.62966126 797 high scalability-2010-03-19-Hot Scalability Links for March 19, 2010

17 0.62620634 846 high scalability-2010-06-22-Sponsored Post: Jobs: Etsy, Digg, Huffington Post Event: Velocity Conference

18 0.62200099 1067 high scalability-2011-06-24-Stuff The Internet Says On Scalability For June 24, 2011

19 0.61709434 753 high scalability-2009-12-21-Hot Holiday Scalability Links for 2009

20 0.60611433 1007 high scalability-2011-03-18-Stuff The Internet Says On Scalability For March 18, 2011


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(1, 0.169), (2, 0.15), (30, 0.026), (56, 0.046), (61, 0.104), (74, 0.192), (79, 0.107), (85, 0.043), (94, 0.076)]

similar blogs list:

simIndex simValue blogId blogTitle

1 0.94117785 1263 high scalability-2012-06-13-Why My Soap Film is Better than Your Hadoop Cluster

Introduction: The ever amazing slime mold is not the only way to solve complex compute problems without performing calculations. There is another: soap film . Unfortunately for soap film it isn’t nearly as photogenic as slime mold, all we get are boring looking pictures, but the underlying idea is still fascinating and ten times less spooky. As a quick introduction we’ll lean on Long Ouyang, who has really straightforward  explanation of how soap film works in Approaching P=NP: Can Soap Bubbles Solve The Steiner Tree Problem In Polynomial . It’s computers, so playing the role of the motivating graph problem we have the Steiner tree problem , which Ouyang explains as: Find the minimum spanning tree for a bunch of vertices, given that you can add additional points. Soap helps solve this problem because: Soap, in water, acts a surfactant, which decreases the surface tension in water. This acts to minimize the surface energy of the liquid. This should minimize surf

same-blog 2 0.89820749 802 high scalability-2010-04-01-Hot Scalability Links for April 1, 2010

Introduction: Why NoSQL Will Not Die . Stephan Schmidt explains why you may wait a long time for NoSQL to go to that great bit bucket in the sky. DBMS Musings: Distinguishing Two Major Types of Column-Stores by Daniel Abadi. I have noticed that Bigtable, HBase, Hypertable, and Cassandra are being called column-stores with increasing frequency, due to their ability to store and access column families separately. This makes them appear to be in the same category as column-stores such as Sybase IQ, C-Store, Vertica, VectorWise, MonetDB, ParAccel, and Infobright, which also are able to access columns separately. Cloud Economics, By The Square Foot by Rich Miller. But cloud computing offers a middle path, offering cost and usability advantages for customers, as well as an attractive return for providers. PostgreSQL: meet your queue by Theo Schlossnagle . I really think that cueing your database to publish over AMQP is the bees knees and it turns out I wasn't alone! Scali

3 0.87548649 566 high scalability-2009-04-13-High Performance Web Pages – Real World Examples: Netflix Case Study

Introduction: This read will provide you with information about how Netflix deals with high load on their movie rental website. It was written by Bill Scott in the fall of 2008. Read or download the PDF file here

4 0.86479831 390 high scalability-2008-09-23-Scaling your cookie recipes

Introduction: This article on scaling cookie baking recipes showed up in one my key word alerts. Lots of weird things show up in alerts, but I really like cookies and the parallels were just so delicious. Scaling in the cookie baking world is: the process of multiplying your recipe by many times to produce much more dough for many more cookies. It’s the difference between making enough dough in one batch to make two dozen cookies, or 2000 cookies. Hey, pretty close to the website notion. Yet as any good cook knows any scaled up recipe must be tweaked a little as things change at scale. Let's see what else we're supposed to do (quoted from the article): Be Patient - When making large batches of cookies, the most important thing that you have to remember is not to rush. Use Fresh Ingredients - This is always an important thing to keep in mind. Don’t use as much leavening - When you’re making a large batch of cookie dough, remember to scale down the amount of baking powder that you

5 0.83357823 229 high scalability-2008-01-29-Building scalable storage into application - Instead of MogileFS OpenAFS etc.

Introduction: I am planning the scaling of a hosted service, similar to typepad etc. and would appreciate feedback on my plan so far. Looking into scaling storage, I have come accross MogileFS and OpenAFS. My concern with these is I am not at all experienced with them and as the sole tech guy I don't want to build something into this hosting service that proves complex to update and adminster. So, I'm thinking of building replication and scalability right into the application, in a similar but simplified way to how MogileFS works (I think). So, for our database table of uploaded files, here's how it currently looks (simplified): fileid (pkey) filename ownerid For adding the replication and scalability, I would add a few more columns: serveroneid servertwoid serverthreeid s3 At the time the user uploads a file, it will go to a specific server (managed by the application) and the id of that server will be placed in the "serverone" column. Then hourly or so, a cro

6 0.80865526 598 high scalability-2009-05-12-P2P server technology?

7 0.80135703 581 high scalability-2009-04-26-Map-Reduce for Machine Learning on Multicore

8 0.80113941 906 high scalability-2010-09-22-Applying Scalability Patterns to Infrastructure Architecture

9 0.80087996 1180 high scalability-2012-01-24-The State of NoSQL in 2012

10 0.80006093 576 high scalability-2009-04-21-What CDN would you recommend?

11 0.79912692 1216 high scalability-2012-03-27-Big Data In the Cloud Using Cloudify

12 0.79816431 304 high scalability-2008-04-19-How to build a real-time analytics system?

13 0.79672074 1037 high scalability-2011-05-10-Viddler Architecture - 7 Million Embeds a Day and 1500 Req-Sec Peak

14 0.79484397 1102 high scalability-2011-08-22-Strategy: Run a Scalable, Available, and Cheap Static Site on S3 or GitHub

15 0.7946865 1063 high scalability-2011-06-17-Stuff The Internet Says On Scalability For June 17, 2011

16 0.79459721 720 high scalability-2009-10-12-High Performance at Massive Scale – Lessons learned at Facebook

17 0.79458827 1559 high scalability-2013-12-06-Stuff The Internet Says On Scalability For December 6th, 2013

18 0.79317069 851 high scalability-2010-07-02-Hot Scalability Links for July 2, 2010

19 0.79222822 1040 high scalability-2011-05-13-Stuff The Internet Says On Scalability For May 13, 2011

20 0.79212451 1399 high scalability-2013-02-05-Ask HighScalability: Memcached and Relations