This link has been bookmarked by 172 people . It was first bookmarked on 29 Jul 2007, by Joel Liu.
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Rodrigo ChappaGoogle Architecture - High Scalability -
IFTTT interesting pending TODO toreview tostudy tagme google architecture design scalability interview prep
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BigTable is a distributed hash mechanism built on top of GFS.
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Each row is stored in one or more tablets. A tablet is a sequence of 64KB blocks in a data format called SSTable.
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A 1,000-fold computer power increase can be had for a 33 times lower cost if you you use a failure-prone infrastructure rather than an infrastructure built on highly reliable components. You must build reliability on top of unreliability for this strategy to work.
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Quite informative but lacks the nity grity details.
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I've found it a great source for cogitation about architecture of some projects I'm working on.
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Google is the King of scalability. Everyone knows Google for their large, sophisticated, and fast searching, but they don't just shine in search. Their platform approach to building scalable applications allows them to roll out internet scale applications at an alarmingly high competition crushing rate. Their goal is always to build a higher performing higher scaling infrastructure to support their products.
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- When you have a lot of machines how do you build them to be cost efficient and use power efficiently?
- Use ultra cheap commodity hardware and built software on top to handle their death.
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Distributed Systems Infrastructure: GFS, MapReduce, and BigTable.
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The run-time system takes care of the details of partitioning the input data, scheduling the program's execution across a set of machines, handling machine failures, and managing the required inter-machine communication.
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This allows programmers without any experience with parallel and distributed systems to easily utilize the resources of a large distributed system.
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Terry Wanglarge diversity of languages: Python, Java, C++
google architecture scalability performance high-availability
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Rich HintzGoogle goal is always to build a higher performing higher scaling infrastructure to support their products. How do they do that?
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- high reliability across data centers
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- scalability to thousands of network nodes
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- huge read/write bandwidth requirements
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- Nice way to partition tasks across lots of machines.
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- Handle machine failure.
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Commercial databases simply don't scale to this level and they don't work across 1000s machines.
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Use ultra cheap commodity hardware and built software on top to handle their death.
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Ognian MladenovGoogle is the King of scalability. Everyone knows Google for their large, sophisticated, and fast searching, but they don't just shine in search. Their platform approach to building scalable applications allows them to roll out internet scale applications
Amazon Analysis blog Business Coding Google Engineering web2.0 Optimization MySQL server technology
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