Adopting Microservices at Netflix: Lessons for Architectural Design — you want to think of servers like cattle, not pets. If you have a machine in production that performs a specialized function, and you know it by name, and everyone gets sad when it goes down, it’s a pet. Instead you should think of your servers like a herd of cows. What you care about is how many gallons of milk you get. If one day you notice you’re getting less milk than usual, you find out which cows aren’t producing well and replace them. People for Ethical Treatment of Iron, your time has come!
Your Job is Not to Write Code (Laura Klein) — I know what you’re thinking. This will all take so long! I’ll be so much less effective! This isn’t true. You’ll be far more effective because you will actually be doing your job. Amen to it all.
Making Wrong Code Look Wrong (Joel Spolsky) — This makes mistakes even more visible. Your eyes will learn to “see” smelly code, and this will help you find obscure security bugs just through the normal process of writing code and reading code.
Simple Testing Can Prevent Most Critical Failures — We found the majority of catastrophic failures could easily have been prevented by performing simple testing on error handling code – the last line of defense – even without an understanding of the software design. We extracted three simple rules from the bugs that have lead to some of the catastrophic failures, and developed a static [Java] checker, Aspirator, capable of locating these bugs. One of the tests is a FIXME or TODO in an exception handler.
Quantum Machine Learning Algorithms: Read the Fine Print (Scott Aaronson) — In the years since HHL, quantum algorithms achieving “exponential speedups over classical algorithms” have been proposed for other major application areas […]. With each of them, one faces the problem of how to load a large amount of classical data into a quantum computer (or else compute the data “on-the-fly”), in a way that is efficient enough to preserve the quantum speedup.
dash — offline access to API documentation. Useful for those long-haul flights without wifi …
Gartner’s Top Trends for 2015 — ubicomp, IoT, 3d printing, pervasive analytics, context, smart machines, cloud computing, software-defined everything, web-scale IT, and security. Still not the year of the Linux desktop.
Move Fast, Break Nothing (Zach Holman) — Gartner talks about “web-scale IT”, but I think the processes and tools for putting code into product (devops) are far more transformative than the technology that scales the product delivery.
OATV Fund III Pitch Deck (Slideshare) — contains a list of what they were investing in, and what they want to invest in with the new round. Then: Quantified self; Internet subsystems; Smart networks of things; Manipulation and visualization of big data; sustainability; Maker movement. Now: Quantified Self Pro; Maker Pro; Hacking Education; Hidden Economies; Operations as Competitive Advantage; A Router in Every Pocket; The Internet Operating System. The move to “Pro” interests me, too. (via Bryce Roberts)
The Network is Reliable — Many applications silently degrade when the network fails, and resulting problems may not be understood for some time—if they are understood at all. […] much of what we know about the failure modes of real-world distributed systems is founded on guesswork and rumor. […] In this post, we’d like to bring a few of these stories together. We believe this is a first step towards a more open and honest discussion of real-world partition behavior, and, ultimately, more robust distributed systems design.
Wisee (PDF) — recognising gestures using disturbances in the (wifi) force. Our results show that WiSee can identify and classify a set of nine gestures with an average accuracy of 94%. (via BoingBoing)
Why Your Users Hate Agile Development (IT World) — What developers see as iterative and flexible, users see as disorganized and never-ending. Here’s how some experienced developers have changed that perception. (via Slashdot)
Github Says No to Bots (Wired) — what’s interesting is that bots augmenting photos is awesome in Flickr: take a photo of the sky and you’ll find your photo annotated with stars and whatnot. What can GitHub learn from Flickr?
NeoVictorian Computing (Mark Bernstein) — read this! I think we all woke up one day to find ourselves living in the software factory. The floor is hard, from time to time it gets very cold at night, and they say the factory is going to close and move somewhere else. […] The Arts & Crafts movement failed in consumer goods, but it could succeed in software. (via James Governor)
Participatory Budgeting — research shows participation is more effective than penalties in taxation compliance. Participation is more effective than penalties in almost everything.
MIT-Developed Microthrusters — a flat, compact square — much like a computer chip — covered with 500 microscopic tips that, when stimulated with voltage, emit tiny beams of ions. Together, the array of spiky tips creates a small puff of charged particles that can help propel a shoebox-sized satellite forward. You say satellite, but it’s only a matter of time until this powers a DIY RC rocket with a camera payload. (via Hacker News)
Yelp Checkins to Measure Geopositioning Accuracy Across Phones — By analyzing millions of data points, we can easily see how, on average, different platforms perform. iPhones consistently have the most accurate positioning, with a fairly small accuracy radius. Android phones are often inaccurate, but reliably reported that inaccuracy. And finally, iPods using Wi-Fi positioning proved the least accurate and usually reported incorrect accuracy radii.
Mary Meeker’s Internet Trends 2012 (PDF) — what caught my eye: a Japanese games company with USD418 ARPU via in-game currency sales; she has a fantastic array of “technology has changed everything” slides topped by a sharp “and that’s just the beginning” slide; she’s bearish on US and global economies.
DNA Sans — writing 100nm tall, in DNA. There’s even a font sample. This is so cool. (via Ed Yong)
New Digital Divide = Wasting Time Online (NY Times) — “Despite the educational potential of computers, the reality is that their use for education or meaningful content creation is minuscule compared to their use for pure entertainment,” said Vicky Rideout, author of the decade-long Kaiser study. “Instead of closing the achievement gap, they’re widening the time-wasting gap.” Self-control and internal discipline is just as important in kids as adults: success in school and in life only comes with the ability to say “no” to Facebook, porn sites, endless IM, and all the other distractions that the Internet offers.
Gun Part on Thingiverse — we’re used to thinking of the legal problems caused by cheap and decentralized copies of digital works. Now the problems we had with pipe bombs (designs are free on the net, the parts are cheap) are just as applicable to every type of restricted object (in this case, a gun). The difference between regulating speech (design of an object) and regulating possession of objects is blurring and it’ll be interesting to see where this goes. (via Jesse Robbins)
Mobile Data (Luke Wrobewski) — Mobile data traffic is now outpacing fixed broadband traffic. Last year, it grew 4.2 times as fast. The entire list of interesting numbers repays reading.
Technology Time Out (Slideshare) — my presentation to employees embarking on a hackathon, about future trends, the role of software developers, and the need to work on meaningful stuff.
Mobile Economics will Trend Towards Web Economics (Fred Wilson) — A central issue with the Internet, no matter what device and presentation layer you use to access it, is that there is an unlimited amount of content available. Evan Williams calls it “a web of infinite information” in this chat with Om Malik. What is valuable is filtering and curation. Restricting access to content doesn’t work. Someone else’s content will get filtered and curated instead of yours. Scarcity is not a viable business model on the Internet.
Magic Tile — geometric and topological analogues of Rubik’s Cube. Mindblowing fun with math.
Ray Kurzweil Does Not Understand The Brain (Pharyngula) — To simplify it so a computer science guy can get it, Kurzweil has everything completely wrong. The genome is not the program; it’s the data. The program is the ontogeny of the organism, which is an emergent property of interactions between the regulatory components of the genome and the environment, which uses that data to build species-specific properties of the organism. He doesn’t even comprehend the nature of the problem, and here he is pontificating on magic solutions completely free of facts and reason.