high_scalability high_scalability-2009 high_scalability-2009-569 knowledge-graph by maker-knowledge-mining
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Introduction: I found this resources: High Scalable Architecture: - YouTube Architecture - Facebook Chat Architecture - Amazon Architecture Blogs: - Scalability Guidelines for building scalable software system (part 1) - Scalability Guidelines for building scalable software system (part 2) - Scalability Guidelines for building scalable software system (part 3) - Scalability Worst Practices - how to minimize load time for fast user experiences - Scalability principles - Challanges for Developing Enterprise Application on the Cloud - high-performance web page real-world examples netflix case study - Intro to Caching,Caching algorithms and caching frameworks part 1 - Amdahl’s low - How I Learned to Stop Worrying and Love Using a Lot of Disk Space to Scale - Top 25 Most Dangerous Programming Mistakes
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Introduction: I found this resources: High Scalable Architecture: - YouTube Architecture - Facebook Chat Architecture - Amazon Architecture Blogs: - Scalability Guidelines for building scalable software system (part 1) - Scalability Guidelines for building scalable software system (part 2) - Scalability Guidelines for building scalable software system (part 3) - Scalability Worst Practices - how to minimize load time for fast user experiences - Scalability principles - Challanges for Developing Enterprise Application on the Cloud - high-performance web page real-world examples netflix case study - Intro to Caching,Caching algorithms and caching frameworks part 1 - Amdahl’s low - How I Learned to Stop Worrying and Love Using a Lot of Disk Space to Scale - Top 25 Most Dangerous Programming Mistakes
2 0.52900559 552 high scalability-2009-04-01-Art of scalability (1) - Scalability principles
Introduction: Art of scalability - series in my blog about Scalability principles, and guild lines. To read the whole series: Art of scalability (1) - Scalability principles Art of scalability (2) - Scalability guidelines part 1 Art of scalability (3) - Scalability guidelines part 2 Art of scalability (4) - Scalability guidelines part 3
3 0.3123188 121 high scalability-2007-10-14-Newbie in scalability design issues
Introduction: I have 3 exp in building website using java.I work on only single server.Website is not very scalable.I always wonder how ebay,youtube,monster handle traffic, giving responses within seconds.From the google i find this site and i hope i can also able to build very scalable website .I need guidelines from where to start ,what are the things we needed.I know that scalability comes through the use of distributed applications but don't how to implement it. I see many website build in languages other than java so java is good choice for building high scalable website. Thanks
4 0.11855865 407 high scalability-2008-10-10-The Art of Capacity Planning: Scaling Web Resources
Introduction: Update 3: The book was released! Find it on Amazon at The Art of Capacity Planning . Update 2: Maybe the iPhone can use a little capacity planning? What's Behind the iPhone 3G Glitches : One source says Apple programmed the Infineon chip to demand a more powerful 3G signal than the iPhone really requires. So if too many people try to make a call or go on the Internet in a given area, some of the devices will decide there's insufficient power and switch to the slower network—even if there is enough 3G bandwidth available. Update: To get a taste of what will be served, mySQL DBA has a nice post titled Capacity Planning, Architecture, Scaling, Response time, Throughput . You learn how to figure out when your application will break by building a 3rd order polynomial. Cool stuff! John Allspaw who is the Operations Engineering Manager at Flickr is about to publish a book with O'Reilly. There are not much details so far but it seems interesting and relev
5 0.088737257 646 high scalability-2009-07-01-Podcast about Facebook's Cassandra Project and the New Wave of Distributed Databases
Introduction: In this podcast , we interview Jonathan Ellis about how Facebook's open sourced Cassandra Project took lessons learned from Amazon's Dynamo and Google's BigTable to tackle the difficult problem of building a highly scalable, always available, distributed data store.
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Introduction: I found this resources: High Scalable Architecture: - YouTube Architecture - Facebook Chat Architecture - Amazon Architecture Blogs: - Scalability Guidelines for building scalable software system (part 1) - Scalability Guidelines for building scalable software system (part 2) - Scalability Guidelines for building scalable software system (part 3) - Scalability Worst Practices - how to minimize load time for fast user experiences - Scalability principles - Challanges for Developing Enterprise Application on the Cloud - high-performance web page real-world examples netflix case study - Intro to Caching,Caching algorithms and caching frameworks part 1 - Amdahl’s low - How I Learned to Stop Worrying and Love Using a Lot of Disk Space to Scale - Top 25 Most Dangerous Programming Mistakes
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3 0.67661959 121 high scalability-2007-10-14-Newbie in scalability design issues
Introduction: I have 3 exp in building website using java.I work on only single server.Website is not very scalable.I always wonder how ebay,youtube,monster handle traffic, giving responses within seconds.From the google i find this site and i hope i can also able to build very scalable website .I need guidelines from where to start ,what are the things we needed.I know that scalability comes through the use of distributed applications but don't how to implement it. I see many website build in languages other than java so java is good choice for building high scalable website. Thanks
4 0.63858545 1047 high scalability-2011-05-25-Stuff to Watch from Surge 2010
Introduction: Surge is a conference put on by OmniTI targeting practical Scalability matters. OmniTI specializes in helping people solve their scalability problems, as is only natural, as it was founded by Theo Schlossnagle, author of the canonical Scalable Internet Architectures . Now that Surge 2011 is on the horizon, they've generously made available nearly all the videos from the Surge 2010 conference. A pattern hopefully every conference will follow (only don't wait a year please). We lose a lot of collective wisdom from events not being available online in a timely manner. In truth, nearly all the talks are on topic and are worth watching, but here are a few that seem especially relevant: Going 0 to 60: Scaling LinkedIn by Ruslan Belkin, Sr. Director of Engineering, LinkedIn. Have you ever wondered what architectures the site like LinkedIn may have used and what insights teams have learned while growing the system from serving just a handful to close to a hundred m
5 0.63182855 94 high scalability-2007-09-17-Blog: Adding Simplicity by Dan Pritchett
Introduction: Dan has genuine insight into building software and large scale scalable systems in particular. You'll always learn something interesting reading his blog. A Quick Hit of What's Inside Inverting the Reliability Stack , In Support of Non-Stop Software , Chaotic Perspectives , Latency Exists, Cope! , A Real eBay Architect Analyzes Part 3 , Avoiding Two Phase Commit, Redux Site: http://www.addsimplicity.com/
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1 0.95016545 363 high scalability-2008-08-12-Strategy: Limit The New, Not The Old
Introduction: One of the most popular and effective scalability strategies is to impose limits ( GAE Quotas , Fotolog , Facebook ) as a means of protecting a website against service destroying traffic spikes . Twitter will reportedly limit the number followers to 2,000 in order to thwart follow spam. This may also allow Twitter to make some bank by going freemium and charging for adding more followers. Agree or disagree with Twitter's strategies, the more interesting aspect for me is how do you introduce new policies into an already established ecosystem? One approach is the big bang. Introduce all changes at once and let everyone adjust. If users don't like it they can move on. The hope is, however, most users won't be impacted by the changes and that those who are will understand it's all for the greater good of their beloved service. Casualties are assumed, but the damage will probably be minor. Now in Twitter's case the people with the most followers tend to be o
2 0.94981498 251 high scalability-2008-02-18-How to deal with an I-O bottleneck to disk?
Introduction: A site I'm working with has an I/O bottleneck. They're using a static server to deliver all of the pictures/video content/zip downloads ecetera but now that the bandwith out of that server is approaching 50Mbit/second the latency on serving small files has increased to become unacceptable. I'm curious how other people have dealt with this situation. Seperating into two different servers would require a significant change to the sites architecutre (because the premise is that all uploads go into one server, all subdirectorie are created in one directory, etc.) and may not really solve the problem.
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Introduction: I found this resources: High Scalable Architecture: - YouTube Architecture - Facebook Chat Architecture - Amazon Architecture Blogs: - Scalability Guidelines for building scalable software system (part 1) - Scalability Guidelines for building scalable software system (part 2) - Scalability Guidelines for building scalable software system (part 3) - Scalability Worst Practices - how to minimize load time for fast user experiences - Scalability principles - Challanges for Developing Enterprise Application on the Cloud - high-performance web page real-world examples netflix case study - Intro to Caching,Caching algorithms and caching frameworks part 1 - Amdahl’s low - How I Learned to Stop Worrying and Love Using a Lot of Disk Space to Scale - Top 25 Most Dangerous Programming Mistakes
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Introduction: Here are a few updates on the article Paper: Don’t Settle For Eventual: Scalable Causal Consistency For Wide-Area Storage With COPS from Mike Freedman and Wyatt Lloyd. Q: How software architectures could change in response to casual+ consistency? A : I don't really think they would much. Somebody would still run a two-tier architecture in their datacenter: a front-tier of webservers running both (say) PHP and our client library, and a back tier of storage nodes running COPS. (I'm not sure if it was obvious given the discussion of our "thick" client -- you should think of the COPS client dropping in where a memcache client library does...albeit ours has per-session state.) Q: Why not just use vector clocks? A : The problem with vector clocks and scalability has always been that the size of vector clocks in O(N), where N is the number of nodes. So if we want to scale to a datacenter with 10K nodes, each piece of metadata must have size O(10K). And in fact, vector
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Introduction: A consequence of Service Oriented Architectures is the burning need to provide services at scale. The architecture that has evolved to satisfy these requirements is a little known technique called the Cell Architecture. A Cell Architecture is based on the idea that massive scale requires parallelization and parallelization requires components be isolated from each other. These islands of isolation are called cells. A cell is a self-contained installation that can satisfy all the operations for a shard . A shard is a subset of a much larger dataset, typically a range of users, for example. Cell Architectures have several advantages: Cells provide a unit of parallelization that can be adjusted to any size as the user base grows. Cell are added in an incremental fashion as more capacity is required. Cells isolate failures. One cell failure does not impact other cells. Cells provide isolation as the storage and application horsepower to process requests is independent of othe
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