high_scalability high_scalability-2013 high_scalability-2013-1439 knowledge-graph by maker-knowledge-mining
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Introduction: Hey, it's HighScalability time: ( Ukrainian daredevil scaling buildings) 877,000 TPS : Erlang and VoltDB. Quotable Quotes: Hendrik Volkmer : Complexity + Scale => Reduced Reliability + Increased Chance of catastrophic failures @TheRealHirsty : This coffee could use some "scalability" @billcurtis_ : Angular.js with Magento + S3 json file caching = wicked scalability Dan Milstein : Screw you Joel Spolsky, We're Rewriting It From Scratch! Anil Dash : Terms of Service and IP trump the Constitution Jeremy Zawodny : Yeah, seek time matters. A lot. @joeweinman : @adrianco proves why auto scaling is better than curated capacity management. < 50% + Cost Saving @ascendantlogic : Any "framework" naturally follows this progression. Something is complex so someone does something to make it easier. Everyone rushes to it but needs one or two things from the technologies they left behind so they introduce that into the "new"
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1 js with Magento + S3 json file caching = wicked scalability Dan Milstein : Screw you Joel Spolsky, We're Rewriting It From Scratch! [sent-3, score-0.213]
2 @joeweinman : @adrianco proves why auto scaling is better than curated capacity management. [sent-6, score-0.083]
3 Over the years everyone's edge cases are accounted for with frameworks on top of frameworks and suddenly everyone is looking for the next big simplification. [sent-10, score-0.382]
4 I say this while using my nation wide power/telephone/road/defense system. [sent-15, score-0.107]
5 Making Black Swans work for you : Stick to simple rules; Decentralize; Develop layered systems; Build in redundancy and overcompensation; Resist the urge to suppress randomness; Ensure everyone has skin in the game; Give higher status to practitioners rather than theoreticians. [sent-18, score-0.284]
6 Edmund Jorgensen goes all counter intuitive in When it Comes to Chaos, Gorillas Before Monkeys : I believe that startups should (mostly) worry less about EC2 instances failing, and more about entire AZs degrading. [sent-19, score-0.105]
7 UC Berkeley's Peter Bailis and Ali Ghodsi "describe several notable developments in the theory and practice of eventual consistency, with a focus on immediately applicable takeaways for practitioners running distributed systems in the wild. [sent-26, score-0.195]
8 That's one way to look at it: Why Startups Should Choose Canada Over Silicon Valley : But for all the positives of the Bay Area, there’s one downside that few talk about which can kill startups: false positives. [sent-30, score-0.218]
9 The eventual cause was that ORDER BY clauses are sometimes ignored which causes data to be written in a different order on the master than slaves. [sent-40, score-0.16]
10 Lots of other cool new features too: multi-tenancy support; more powerful geospatial queries; and SolrCloud, with dynamically scalable auto sharding. [sent-46, score-0.083]
11 In the past I've wanted exactly this, now it exists - elephant : Elephant is an S3-backed key-value store with querying powered by Elastic Search. [sent-53, score-0.08]
12 Here's another win for less - In-kernel memory compression : Wouldn't it be nice if it were possible to increase the effective amount of data stored in RAM? [sent-59, score-0.109]
13 And, since those CPUs are waiting anyway, perhaps we could use those spare CPU cycles to contribute towards that objective? [sent-60, score-0.077]
14 This is the goal of in-kernel compression: We keep more data — compressed — in RAM and use otherwise idle CPU cycles to execute compression and decompression algorithms. [sent-61, score-0.186]
15 dekhn says it best : The PC (including servers) world went down a path of high physical integration- the bus, the CPU, the memory, and the peripherals are all one unit that couldn't really be carved up. [sent-63, score-0.227]
16 Now people are realizing they can build a server from a bunch of parts connected by fast fabric, and you can pull/place items in the fabric and use them immediately, or take them apart. [sent-64, score-0.088]
17 The MULTICS machine was actually carved into two pieces live, every night, to run two instances, then re-merged in the morning(! [sent-65, score-0.159]
18 ) Hardware virtualization - and component aggregation - were always great ideas, and now the technology exists to deploy it at the middle-tier commodity server level. [sent-66, score-0.08]
19 ) Leo Meyerovich identifies a powerful technique that can help anyone parsing large chunks of data. [sent-68, score-0.095]
20 ” The Bw-Tree: A B-tree for New Hardware : Our new form of B tree, called the Bw-tree achieves its very high performance via a latch-free approach that effectively exploits the processor caches of modern multi-core chips. [sent-82, score-0.074]
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