high_scalability high_scalability-2007 high_scalability-2007-93 knowledge-graph by maker-knowledge-mining
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Introduction: It's pretty slick! olla
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Introduction: Facebook made quite a splash when they released their native iOS app , not because of their app per se, but because of their conclusion that their biggest mistake was betting on HTML5 , so they had to go native. As you might imagine this was a bit like telling a Great White Shark that its bark is worse than its bite. A common refrain was Facebook simply had made a bad HTML5 site, not that HTML5 itself is bad, as plenty of other vendors have made slick well performing mobile sites. An interesting and relevant conversation given the rising butt kickery of mobile. But we were lacking details. Now we aren't. If you were wondering just why Facebook ditched HTML5, Tobie Langel in Perf Feedback - What's slowing down Mobile Facebook , lists out the reasons: Tooling / Developer APIs . Most importantly, the lack of tooling to track down memory problems. Scrolling performance. Scrolling must be fast and smooth and full featured. It's not. GPU. A clunky API and black box ap
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Introduction: Update: Google added videos on Cluster Computing and MapReduce . There are five lectures: Introduction, MapReduce, Distributed File Systems, Clustering Algorithms, and Graph Algorithms . Advanced website design depends on deep distributed system design knowledge. Where do you get this knowledge? Try Google. They have a a whole Code for Educators program with tutorials and lectures on AJAX programming, distributed systems, and web security. Looks pretty nice.
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Introduction: It looks like I'll have the chance to interview someone tomorrow from Justin.tv about their architecture, which is pretty exciting given their leadership role in live broadcasting. They get 30 million uniques a month, can handle 1 million simultaneous broadcasts and hope to grow another magnitude in the near future. That must take some doing. Here's your opportunity, especially if you think my questions suck, to ask your own sucky questions :-) What would you like to know about Justin.tv?
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Introduction: The main thrust of the Packet Pushers Show 41 episode was to reveal and ruminate over the horrors of a successful attack on RSA , which puts the whole world security complex at risk. Near the end, at about 46 minutes in, there was an excellent section on how to go about building out a low cost datacenter. Who cares? Well, someone emailed me this exact same question awhile back and I had a pretty useless response. So here's making up for that by summarizing the recommendations from the elite Packet Pushers cabal: Look at Arista and Juniper. Juniper Has a range of stackable switches, which includes some 10 gig. If your budget can stretch for it they might make a good deal on their new QFX proto-fabric product. You can't get a full sized fabric solution, but you can get a few switches together to make a two port fabric. Good solution if you are running 10 gig and only need 30 or 40 10 gig ports. Thinks Juniper would make a good deal in order to get a few re
3 0.38927898 1399 high scalability-2013-02-05-Ask HighScalability: Memcached and Relations
Introduction: Hi everybody I'm wondering what you would do: I develop a webapp using Grails, Memcached and Mysql as persistence. Now, I have following domain classes (simplified): Product : Can be in one category Category : Can have nested children, and have multiple products. I need to access all product objects by id which led me to the idea to store all products in one big Memcached-entry with a key: PRODUCTMAP and as value, all product attributes as array, like: [productId1: [title: 'title'], productId2: [title: 'title']] If I browse to category 4, I simply get my map categoryMap with value [cateoryId: [productId1, productId2]] I also can list all products of a certain category by providing that id. The bad thing about this is that I always have to put back everything if I modify a single product. Who can give advice how to realize that? Any help will be appreciated! Thanks, Best Sullivan
Introduction: Who's Hiring? Kabam is looking for a Quantitative Analyst and a Senior Data Engineer to join the Business Intelligence group at our social gaming startup. Opera Solutions is looking for Senior Software Engineers to work with Big Data analytics, Hadoop, Python, and Java for a rapidly growing analytics firm. Fun and Informative Events Interested in CouchDB Training? The CouchDB Training World Tour starts this month with new CouchDB training classes in five major cities. Cool Products and Services ScaleOut StateServer - Scale Out Your Server Farm Applications! aiCache creates a better user experience by increasing the speed scale and stability of your web-site. WAPT is a load, stress and performance testing tool for websites and web-based applications. Karmasphere is bringing Apache Hadoop power to developers and analysts. Download your Free Community Edition today! Newrelic - What are you doing to ensure the performance of your apps?
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Introduction: Imagine if you will that car rental agencies rented cars like programmers are hired at many software companies... Agency : So sorry you had to wait in the reception area for an hour. Nobody knew you were coming to today. I finally found 8 people to interview before we can rent you a car. If we like you you may have to come in for another round of interviews tomorrow because our manager isn't in today. I didn't have a chance to read your application, so I'll just start with a question. What car do you drive today? Applicant : I drive a 2008 Subaru. Agency : That's a shame. We don't have a Subaru to rent you. Applicant : That's OK. Any car will do. Agency : No, we can only take on clients who know how to drive the cars we stock. We find it's safer that way. There are so many little differences between cars, we just don't want to take a chance. Applicant : I have a drivers license. I know how to drive. I've been driving all kinds of cars for 15 years, I am sure I can adapt.
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Introduction: In my last post , I outlined considerations that need to be taken into account when choosing between a centralized and federated security model. So, how do we implement the chosen model? Based on a real-world case study, I will outline a Kerberos architecture that enables cutting-edge collaborative research through federated sharing of resources. Read more on BigDataMatters.com
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Introduction: SmugMug's CEO & Chief Geek Don MacAskill smugly (hard to resist) gushes over finally finding, after a long and arduous quest, their "best bang-for-the-buck storage array." It's the Dell MD300 . His in-depth explanation of why he prefers the MD3000 should help anyone with their own painful storage deliberations. His key points are: The price is right; DAS via SAS, 15 spindles at 15K rpm each, 512MB of mirrored battery-backed write cache; You can disable read caching; You can disable read-ahead prefetching; The stripe sizes are configurable up to 512KB; The controller ignores host-based flush commands by default; They support an ‘Enhanced JBOD’ mode. His reasoning for the desirability each option is astute and he even gives you the configuration options for carrying out the configuration. This is not your average CEO. Don also speculates that a three tier system using flash (system RAM + flash storage + RAID disks) is a possible future direction. Unfortunately, flash
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Introduction: Update: Barbara Liskov’s Turing Award, and Byzantine Fault Tolerance . Henry Robinson has created an excellent series of articles on consensus protocols. We already covered his 2 Phase Commit article and he also has a 3 Phase Commit article showing how to handle 2PC under single node failures. But that is not enough! 3PC works well under node failures, but fails for network failures. So another consensus mechanism is needed that handles both network and node failures. And that's Paxos . Paxos correctly handles both types of failures, but it does this by becoming inaccessible if too many components fail. This is the "liveness" property of protocols. Paxos waits until the faults are fixed. Read queries can be handled, but updates will be blocked until the protocol thinks it can make forward progress. The liveness of Paxos is primarily dependent on network stability. In a distributed heterogeneous environment you are at risk of losing the ability to make updates. Users hate t
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