Recommend Stuff The Internet Says On Scalability For January 22nd, 2016 (Email)

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Hey, it's HighScalability time:


The Imaginary Kingdom of Aurullia. A completely computer generated fractal. Stunning and unnerving.

 

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  • 42,000: drones from China securing the South China Sea; 1 billion: WhatsApp active users; 2⁻¹²²: odds of a two GUIDs with 122 random bits colliding; 25,000 to 70,000: memory chip errors per billion hours per megabit; 81,500: calories in a human body; 62: people as wealthy as half of world's population; 1.66 million: App Economy jobs in the US; 521 years: half-life of DNA; 0.000012%: air passenger fatalities; $1B: Microsoft free cloud resources for nonprofits; 4000-7000+: BBC stats collected per second; $1 billion: Google's cost to taste Apple's pie;

  • Quotable Quotes:
    • @mcclure111: 1995: Every object in your home has a clock & it is blinking 12:00 / 2025: Every object in your home has a IP address & the password is Admin
    • @notch: Coming soon to npm: tirefire.js, an asynchronous framework for implementing helper classes for reinventing the wheel. Based on promises.
    • @ayetempleton: Fun fact: You are MORE likely to win a million or more dollars in the #powerball lottery than to lose an #AWS #S3 object in a given year.
    • @viktorklang: IMO biggest lie in performance work: constant factors don't matter in Big-Oh.
    • Flavien Boucher: We all came to the conclusion that Docker is adding a complexity layer compare to a virtual machine approach, and this complexity will be for the deployment, development and build.
    • @Frances_Coppola: Uber is a cab cartel. And AirBNB is wealthy - though its suppliers aren't. They are simply firms with apps.
    • Susan Sontag: The method especially appeals to people handicapped by a ruthless work ethic – Germans, Japanese and Americans. Using a camera appeases the anxiety which the work driven feel about not working when they are on vacation and supposed to be having fun. They have something to do that is like a friendly imitation of work: they can take pictures.
    • @SachaNauta: "It's never been easier to be a billionaire and never been harder to be a millionaire" @profgalloway #DLD16
    • @Techmeme: Google Play saw 100% more downloads than iOS App Store, but Apple generated 75% more revenue 
    • Ryan Shea: we’ve concluded that 8MB blocks are simply too large to be considered safe for the network at this point in time, considering the current global bandwidth levels.
    • @RichRogersHDS: "In the old world you spent 30% of your time building a great service & 70% shouting about it. In the new world, that inverts." - Jeff Bezos
    • @thetinot: When you have an SDN, yes, networking throughput does grow on trees. Why @googlecloud is faster than #AWS and #Azure 
    • @GOettingerEU: Digital tech has contributed to around 1/3 of EU GDP growth in over the past decade and I believe this number will continue to grow #wef16
    • @COLRICHARDKEMP: More women fly F16s in Israel than drive cars in Saudi Arabia. KA. 
    • @JoshZumbrun: The total collapse in shopping mall construction
    • @jeffjarvis: 44 million people saw NY Fashion Show content on Instagram last year says Instagram's Marne Levine. Attn: Conde & Hearst!  #DLD16
    • @HackerNewsOnion: Developer Accused Of Unreadable Code Refuses To Comment
    • Lloyds online banking: in a 60-second period: 12,900 people visit its website, 400 bills are paid, 1,500 customers log onto the mobile app, 350 transfers are made and 3,000+ logins
    • @bdha: 2013: DevOps 2014: Docker 2015: Containers 2016: Unikernels 2017: Threads 2018: Syscalls 2019: Inodes
    • hacknat: Two things need to happen to make unikernels attractive. A new Hypervisor needs to get made, one that is just as extensible as an OS around the isolated primitives. It should also have something extra too (like the ability to fine tune resource management better than an OS can). Secondly a user friendly mechanism like Docker needs to happen.

  • It's a winner take all world, but not everywhere. Brian Brushwood on Cordkillers with an insightful breakdown of how the new diversified market for TV content has actually become far less of a winner take all system. We have more good content than ever. Gone are the days of Mash when everyone watched the same show at the same time. Is it bad that actors are making less? No. We are seeing the destruction of the tournament, as explained in the book Freakonomics, is the idea that those at the very top make all the money, those at the bottom of the pyramid make next to nothing. And the winners only have to win by a nose to reap all the rewards, the don't even need to win on merit. This is an inefficient system. Now we are reaching an artistically efficient system. If you have a story to tell and no budget you can tell it on YouTube. This is the democratization of talent. It's inconvenient for those who used to be at the top. What we have now is more working actors producing more content than ever.  And since a lot of this content does not have to pander to advertisers to get made the content is more diverse and more interesting than ever as well.

  • The RAMCloud Storage System: RAMCloud combines low-latency, large scale, and durability. Using state of the art networking with kernel bypass, RAMCloud expects small reads to complete in less that 10µs on a cluster of 10,000 nodes. This is 50 – 1,000 times faster that storage systems commonly in use.

  • All Change Please. Adrian Colyer makes the case that we are transitioning to a new part of the technology cycle that promises great change. Networking: 40Gbps and 100Gbps ethernet. Memory: battery backed RAM; 3D XPoint, MRAM, MeRAM, etc. Storage: NVRAM and fast PCIe. Processing: GPUs; integrated on processor FPGAs; hardware transactional memory. This is the question: What happens when you combine fast RDMA networks with ample persistent memory, hardware transactions, enhanced cache management support and super-fast storage arrays? It’s a whole new set of design trade-offs that will impact the OS, file systems, data stores, stream processing, graph processing, deep learning and more. And this is before we’ve even introduced integration with on-board FPGAs, and advances in GPUs…

Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading)...


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