high_scalability high_scalability-2007 high_scalability-2007-94 knowledge-graph by maker-knowledge-mining
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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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Introduction: Follow this blog and you'll learn a lot about MySQL and how to make it sing. A Quick Hit of What's Inside Working with large data sets in MySQL, PHP Large result sets and summary tables, Implementing efficient counters with MySQL. Site: http://www.mysqlperformanceblog.com/
3 0.10580871 331 high scalability-2008-05-27-eBay Architecture
Introduction: Update 2: EBay's Randy Shoup spills the secrets of how to service hundreds of millions of users and over two billion page views a day in Scalability Best Practices: Lessons from eBay on InfoQ. The practices: Partition by Function, Split Horizontally, Avoid Distributed Transactions, Decouple Functions Asynchronously, Move Processing To Asynchronous Flows, Virtualize At All Levels, Cache Appropriately. Update: eBay Serves 5 Billion API Calls Each Month . Aren't we seeing more and more traffic driven by mashups composed on top of open APIs? APIs are no longer a bolt on, they are your application. Architecturally that argues for implementing your own application around the same APIs developers and users employ. Who hasn't wondered how eBay does their business? As one of the largest most loaded websites in the world, it can't be easy. And the subtitle of the presentation hints at how creating such a monster system requires true engineering: Striking a balance between site stabilit
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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/
2 0.76297164 87 high scalability-2007-09-10-Blog: Esoteric Curio by Theo Schlossnagle
Introduction: Theo Schlossnagle is the author of Scalable Internet Architecture and the funder of OmniTI , a global leader in Internet technology services that power the World Wide Web and email. As you might imagine Theo frequently posts on interesting topics for the scalable website builder. A Quick Hit of What's Inside Partitioning vs. Federation vs. Sharding , PostgreSQL warm standby on ZFS crack , Scalability vs. Performance: it isn't a battle  Site: http://lethargy.org/~jesus
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Introduction: Unlike Theo Schlossnagle, author of Scalable Internet Architectures , I am not a stickler for semantics because I have an unswerving faith in the ultimate unknowability of the world as experienced by others. That's why it is Theo who bravely tackles the differences in his informative blog post Partitioning vs. Federation vs. Sharding . Royans Tharakan also talks about it on his blog . Is there a difference and does it really matter to all our intrepid scalable website builders? Generally whatever Theo says is probably close to the truth. Yet, in my mind I think of partitioning as a basic level category and federation and sharding as more specific (subordinate) instances of partitioning. And partitioning is a more specific instance of the more more general (superordinate) category divide-and-conquer. Which isn't a useful way to think about the topic at all. So, let's say federation is like Star Trek. The Vulcans, Klingons, and Humans live in very separate p
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Introduction: Just thought I'd drop a brief suggestion to anyone building a large mail system. Our solution for scaling mail pickup was to develop a sharded architecture whereby accounts are spread across a cluster of servers, each with imap/pop3 capability. Then we use a cluster of reverse proxies (Perdition) speaking to the backend imap/pop3 servers . The benefit of this approach is you can use simply use round-robin or HA loadbalancing on the perdition servers that end users connect to (e.g. admins can easily move accounts around on the backend storage servers without affecting end users). Perdition manages routing users to the appropriate backend servers and has MySQL support. What we also liked about this approach was that it had no dependency on a distributed or networked filesystem, so less chance of corruption or data consistency issues. When an individual server reaches capacity, we just off load users to a less used server. If any server goes offline, it only affects the fraction of users
2 0.8421452 81 high scalability-2007-09-06-Scaling IMAP and POP3
Introduction: Another scalability strategy brought to you by Erik Osterman: Just thought I'd drop a brief suggestion to anyone building a large mail system. Our solution for scaling mail pickup was to develop a sharded architecture whereby accounts are spread across a cluster of servers, each with imap/pop3 capability. Then we use a cluster of reverse proxies (Perdition) speaking to the backend imap/pop3 servers . The benefit of this approach is you can use simply use round-robin or HA load balancing on the perdition servers that end users connect to (e.g. admins can easily move accounts around on the backend storage servers without affecting end users). Perdition manages routing users to the appropriate backend servers and has MySQL support. What we also liked about this approach was that it had no dependency on a distributed or networked file system, so less chance of corruption or data consistency issues. When an individual server reaches capacity, we just off load users to a less u
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