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Hey, it's HighScalability time:
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- 40.4 million: iPhones sold this quarter; 7: number of times Facebook has avoided the IRS; 104: new exoplanets; 100: new brain regions found; 2x: HTTPS adoption;
- Quotable Quotes:
- @mat: Apple is doomed: "the nearly $8 billion in profits this quarter is more than twice what Facebook made in 2015"
- Bruce Schneier: The truth is that technology magnifies power in general, but the rates of adoption are different. The unorganized, the distributed, the marginal, the dissidents, the powerless, the criminal: they can make use of new technologies faster. And when those groups discovered the Internet, suddenly they had power. But when the already powerful big institutions finally figured out how to harness the Internet for their needs, they had more power to magnify. That’s the difference: the distributed were more nimble and were quicker to make use of their new power, while the institutional were slower but were able to use their power more effectively.
- @mjasay: What AWS does for AMZN: $2.89B in revenue (up from $1.8B last year), earning 56% of Amazon profits (EPS was $1.78, up from $0.19 last year)
- @kurtseifried: I wonder how discrete cloud billing can get? Per cpu cycle? bit moved in and out? I suspect yes.
- Algorithms to Live By: More generally, our intuitions about rationality are too often informed by exploitation rather than exploration. When we talk about decision-making, we usually focus just on the immediate payoff of a single decision—and if you treat every decision as if it were your last, then indeed only exploitation makes sense.
- Pinterest: As it turns out, it’s damn hard to design consistent and beautiful things at scale.
- @obfuscurity: OH: “god i hate having to lie about loving containers all the time”
- @beaucronin: Leah McGuire: "Metrics are the unit tests of data science"; without them you won't know when things break and you'll be exposed #wrangleconf
- @tsantero: OH: "Blockchain: a system that allows a bunch of non-CS people to suddenly be distributed computing experts."
- zeveb: People want safety; they want security; they want conformity; they want power over others.
- Richard Watson: My take-home [re Pokemon Go]: even the very best can be surprised when the scale hits the fan.
- @xaibeha: HTTP/2: Because a hundred requests per page load is just a fact of nature.
- mdatwood: many people have this irrational hate for Java, or they hate the Java from 10 years ago. Todays Java is fast, has tons of mature frameworks, and is probably one of the best tools to use from building a web service back end.
- @BenedictEvans: Obvious: an iPhone has hundreds of times more compute power than the original Pentium. More important: $50 Androids in rural Africa do too
- Dark Silicon: infeasible to operate all on-chip components at full performance at the same time due to the thermal constraints (peak temperature, spatial and temporal thermal gradients etc.
- @Sneakyness: Why do people always assume that companies have scaling issues, and not that they've determined that 85% uptime is enough to make money
- @cdixon: Alternative headline: "Alphabet invests $859M in long-term projects."
- @xaprb: We were promised a Utopian vision with the “semantic web,” but it turns out it’s actually Feedly, IFTT, Slack, and Pocket that fulfill it.
- Amit: Let's drop 10¢ coins and $10 bills and treat them like 50¢ coins, $2 bills, $50 bills — they exist but we don't use them widely.
- Graham Templeton: One major advantage of life over modern engineering is power efficiency.
- @neil_conway: @t_crayford @kellabyte >10k threads running native code + user-defined stored procedures in a single address space sounds pretty scary.
- Niantic is looking for a Software Engineer - Server Infrastructure to help make Pokemon go. You think it's easy? Think again: Create the server infrastructure to support our hosted AR/Geo platform underpinning projects such as Pokémon GO using Java and Google Cloud. You will work on real-time indexing, querying and aggregation problems at massive scales of hundreds of millions of events per day, all on a single, coherent world-wide instance shared by millions of users.
- DDos attacks as a reason to bypass the kernel. Why we use the Linux kernel's TCP stack: During some attacks we are flooded with up to 3M packets per second (pps) per server...With this scale of attack the Linux kernel is not enough for us. We must work around it. We don't use the previously mentioned "full kernel bypass", but instead we run what we call a "partial kernel bypass". With this the kernel retains the ownership of the network card, and allows us to perform a bypass only on a single "RX queue".
- BTW, I bought nothing on Prime Day. How AWS Powered Amazon’s Biggest Day Ever: This wave of traffic then circled the globe, arriving in Europe and the US over the course of 40 hours and generating 85 billion clickstream log entries. Orders surpassed Prime Day 2015 by more than 60% worldwide and more than 50% in the US alone. On the mobile side, more than one million customers downloaded and used the Amazon Mobile App for the first time.
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