Hey, it's HighScalability time:

Cool geneology of Relational Database Management Systems.

• 9,000: Artifacts Uncovered in California Desert; 400 Million: LinkedIn members; 100: CEOs have more retirement assets than 41% of American families; $160B: worth of AWS; 12,000: potential age of oldest oral history; fungi: world's largest miners 


• Quotable Quotes:
  • @jaykreps: Someone tell @TheEconomist that people claiming you can build Facebook on top of a p2p blockchain are totally high.
  • Larry Page: I think my job is to create a scale that we haven't quite seen from other companies. How we invest all that capital, and so on.
  • Tiquor: I like how one of the oldest concepts in programming, the ifdef, has now become (if you read the press) a "revolutionary idea" created by Facebook and apparently the core of a company's business. I'm only being a little sarcastic.
  • @DrQz: +1 Data comes from the Devil, only models come from God. 
  • @DakarMoto: Great talk by @adrianco today quote of the day "i'm getting bored with #microservices, and I’m getting very interested in #teraservices.”
  • @adrianco: Early #teraservices enablers - Diablo Memory1 DIMMs, 2TB AWS X1 instances, in-memory databases and analytics...
  • @PatrickMcFadin: Average DRAM Contract Price Sank Nearly 10% in Oct Due to Ongoing Supply Glut. How long before 1T memory is min?
  • @leftside: "Netflix is a monitoring system that sometimes shows people movies." --@adrianco #RICON15
  • Linus: So I really see no reason for this kind of complete idiotic crap.
  • Jeremy Hsu: In theory, the new architecture could pack about 25 million physical qubits within an array that’s 150 micrometers by 150 µm. 
  • @alexkishinevsky: Just done AWS API Gateway HTTPS API, AWS Lambda function to process data straight into AWS Kinesis. So cool, so different than ever before.
  • @highway_62: @GreatDismal Food physics and candy scaling is a real thing. Expectations and ratios get blown. Mouth feel changes.
  • @randybias:  #5 you can’t get automation scaling without relative homogeneity (homologous) and that’s why the webscale people succeeded
  • Brian Biles: Behind it all: VMs won.  The only thing that kept this [Server Centric Storage is Killing Arrays] from happening a long time ago was OS proliferation on physical servers in the “Open Systems” years.  Simplifying storage for old OS’s required consolidative arrays with arbitrated-standard protocols.
  • @paulcbetts: This disk is writing at almost 1GB/sec and reading at ~2.2GB/sec. I remember in 2005 when I thought my HD reading at 60MB/sec was hot shit.
  • @merv: One of computing’s biggest challenges for architects and designers: scaling is not distributed uniformly in time or space.


• To Zookeeper or to not Zookeeper? This is one of the questions debated on an energetic mechanical-sympathy thread. Some say Zookeeper is an unreliable and difficult to manage. Others say Zookeeper works great if carefully tended. If you need a gossip/discovery service there are alternatives: JGroups, Raft, Consul, Copycat.


• Algorithms are as capable of tyranny as any other entity wielding power. Twins denied driver’s permit because DMV can’t tell them apart. 


• Odd thought. What if Twitter took stock or options as payment for apps that want to use Twitter as a platform (not Fabric)? The current user caps would effectively be the free tier. If you want to go above that you can pay. Or you can exchange stock or options for service. This prevents the Yahoo problem of being King Makers, that is when Google becomes more valuable than you. It gives Twitter potential for growth. It aligns incentives because Twitter will be invested in the success of apps that use it. And it gives apps skin in the game. Although Twitter has to recognize the value of the stock they receive as revenue, they can offset that against previous losses.


• One of the best stories ever told. Her Code Got Humans on the Moon—And Invented Software Itself: MARGARET HAMILTON WASN’T supposed to invent the modern concept of software and land men on the moon...But the Apollo space program came along. And Hamilton stayed in the lab to lead an epic feat of engineering that would help change the future of what was humanly—and digitally—possible. 

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