Recommend Stuff The Internet Says On Scalability For October 7th, 2016 (Email)

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Hey, it's HighScalability time:

 

The worlds oldest analog computer, from 87 BC, the otherworldly Antikythera mechanism.

 

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  • 70 billion: facts in Google's knowledge graph; 80 million: monthly visitors to walmart.com; 50%: lower cost for sending a container from Shanghai to Europe; 6 billion: Docker Hub pulls per 6 weeks; 5x: impact reduction using new airbag helmet; 400: node Cassandra + Spark Cluster in Azure; 66%: loss of installs when apps > 100MB; 223GB: Udacity open sources self-driving car data; 

  • Quotable Quotes:
    • rfrey: The success of many companies, and probably all of the unicorns, has nothing to do with technology. The tech is necessary, of course, but so are desks and an accounting department. Internalizing that has been difficult for me as an engineer.
    • @mza: 72 new features/services released last month on #AWS. 706 so far this year (up 42.9% YoY).
    • Marc Andreessen: To me the problem is clear: The problem is insufficient technological adoption, innovation, and disruption in these high-escalating price sectors of the economy. My thesis is that we're not in a tech bubble — we’re in a tech bust. Our problem isn't too much technology or people being too excited about technology. The problem is we don't have nearly enough technology. These cartel-like legacy industries are way too hard to disrupt.
    • @mfdii: What did the NSA agent say when it got access to all the email? Yahoo!
    • Ben Thompson~ [Google's Pixel event] was a huge event, you rarely see a company changing business models
    • @kerryb: News just in: databases to be “named and shamed” if they use foreign keys without trying to train local British keys first.
    • kazagistar: The biggest use of REST in our system (and I suspect a lot of large newer systems) is not "web client to backend server" but "microservice to microservice". And for this, GraphQL is severely immature.
    • @amcafee: Tesla software update: good braking "even if a UFO were to land on the freeway in zero visibility conditions."
    • evanelias: Facebook uses MySQL for countless other critical OLTP use-cases, and (for better or worse) even a few OLAP use-cases. It's the primary store of Facebook, across the entire company. It's the storage layer for ad serving, payments, async task persistence, internal tooling, many many other things. Most of these use-cases make full use of SQL and the relational model.
    • @rakamaric: Deschutes Brewery using light-weight formal methods (white-box fuzzing) to find bugs in their code! #soarlab
    • @tottinge: "Crowdsourcing is the tyranny of the herd, not the wisdom of crowds" @snowded #lascot16
    • @pedrolopesme: @toddlmontgomery "Your API is a protocol. Treat it like one."  #qconnyc 2016
    • Rodrick Brown: A pattern today many use to accomplish this [logging] is using a kafka logging library that hooks into their microservice and use something like spark to consume the logs from Kafka into elasticsearch. We're doing hundreds of thousands of events/sec on a tiny ~8 node ES cluster.
    • @dominicad: "The way people make decisions is key to understanding company culture. Instead of system analysis, record decisions." @snowded #lascot16
    • Hugh E. Williams: Engineers irrationally avoid hash tables because of the worst-case O(n) search time. In practice, that means they’re worried that everything they search for will hash to the same value
    • @JoeEmison: That's just not accurate. I've spent the last year trying to run on GCP and keep going back to AWS. It's not just perception.
    • boulos: Where I do agree is networking egress. The big three providers all have metered bandwidth rates that are way above the "all inclusive" fee you pay to Hetzner, OVH, DO, and others. The cheapest way to host an ftp server that serves 20 TB per month is certainly on one of these (today). None of these providers will let you serve 1 PB / month this way, but if you're in their sweet spot and they can make it work out on average, it's a good fit.
    • @DDDBE: "If you have a magical genie, you still have the problem of trying to explain what you want. That is domain complexity." @malk_zameth
    • avitzurel: The networking on AWS needs to be better. I don't want the strongest machine just to have a better transfer rate. It makes complete sense to have a micro machine for some services, but if those services are accessed or access other HTTP/s services, it will be unnecessarily slow
    • Alan Huang: the number of [Internet] hops can be reduced by 2X by converting the network into a toroid. The number of hops can be further reduced by recasting the network into N-dimensional hypercube or into a multistage network, such as a Perfect Shuffle or Banyan.
    • @jessfraz: Can we go back to ncurses apps instead of these memory hogging bullshits?
    • Russ White: The reality is we shouldn’t need DevOps for configuration at all. This is a bit of a revolution in my thinking in the last two or three years, but what I’m trying to do is to simply make DevOps, as it’s currently constituted, obsolete. DevOps should be about understanding how the network is working and making the network work better

  • Software is eating the world, but software is also eating software. Laugh. Cry. Shake your head and then your fist, but it's a satire that's all true: How it feels to learn JavaScript in 2016. Epic. Once you wipe away the tears you may also realize this is a great tutorial on all the different frameworks and how they fit together. You won't find better. 

  • Videos are available for Full Stack Fest 2016, held in Barcelon, with topics ranging from Docker, IPFS & GraphQL to Reactive Programming, Immutable Interfaces & Virtual Reality. 

  • Great analogy by paulddraper on cloud pricing: "Restaurant prices are ridiculous ... made the comparison between groceries and menu offerings of McDonalds, Taco Bell, Burger King ... Olive Garden (SO EXPENSIVE) and you pay 5 times at a restaurant for the same." You're not paying for hardware. You're paying for hardware, expertise, services, and convenience. On-prem or colocation may be a good choice. But limiting your comparison to raw computing power mischaracterizes the decision.

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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