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Hey, it's HighScalability time:
- 1 million: Airbnb's room inventory; 2 billion: Telegram messages sent daily; Two billion: photos shared daily on Facebook; 10,000: sensors in every Airbus wing
- Quotable Quotes:
- Silicon Valley: “We’re about shaving yoctoseconds off latency for every layer in the stack,” he said. “If we rent from a public cloud, we’re using servers that are, by definition, generic and unpredictable.”
- @liviutudor: Netflix: approx 250 Cassandra clusters over 7,000+ server instances #cloud
- @GreylockVC: "More billion-dollar marketplaces will be created in the next five years than in the previous 20." - @simonrothman
- CDIXON: Exponential growth curves in the “feels gradual” phase are deceptive. There are many things happening today in technology that feel gradual and disappointing but will soon feel sudden and amazing.
- @badnima: OH: "The gossip protocol has reached its scaling limits"
- marcosdumay: People get pretty excited every time physicists talk about information. The bottom line is that information manipulation is just Math, viewed by a different angle.
- Bill Janeway: There's only one way to hedge against uncertainty in venture capital...cash and control. Enough cash that when something goes wrong you can buy time to figure out what is and assess what you can do about it.
- zylo4747's coworker: Where's the step about preparing to have all your plans crushed and rushing shit out the door as fast as possible?
- Martin Fowler: don't even consider microservices unless you have a system that's too complex to manage as a monolith.
- @postwait: Ingesting, querying, & visualizing data isn't a monitoring system. It isn't even sufficient plumbing for such a system. #srecon15europe
- @techsummitpr: "Up to date weather conditions? It's not a marvel from Google, it's a marvel from the National Weather Service." @timoreilly #techsummitpr
- @sovereignfund: Verified as legit: The top 25 hedge fund managers earn more than all kindergarten teachers in U.S. combined.
- Adrian Colyer: In their evaluation, the authors found that mixing MapReduce and memcached traffic in the same network extended memcached latency in the tail by 85x compared to an interference free network.
- @BenedictEvans: US ecommerce revenues 1999: $12bn 2013: $219bn
- Gregory Hickok: the brain samples the world in rhythmic pulses, perhaps even discrete time chunks, much like the individual frames of a movie. From the brain’s perspective, experience is not continuous but quantized.
- David Bollier: There is no master inventory of commons. They can arise whenever a community decides it wishes to manage a resource in a collective manner, with a special regard for equitable access, use and sustainability.
- What’s Next for Moore’s Law?: I predict that Intel's 10nm process technology will use Quantum Well FETs (QWFETs) with a 3D fin geometry, InGaAs for the NFET channel, and strained Germanium for the PFET channel, enabling lower voltage and more energy efficient transistors in 2016, and the rest of the industry will follow suit at the 7nm node.
- Don't read How to Build a Unicorn From Scratch – and Walk Away with Nothing if you are easily frightened. Years of work down the drain. **chills** To walk safely through the Valley: Focus on terms, not just valuation; Build a waterfall; Don’t do bad business deals just to get investment capital; Understand the motivations of others; Understand your own motivation.
- How do you build a real-time chat system? Scaling Secret: Real-time Chat. Goal was to handle 50,000 simultaneous conversations. Pusher was used to deliver messages. For a database Secret used Google App Engine’s High-Replication Datastore. Some nice details on the schema and other issues. Good thread on HN where the main point of contention is should an expensive service like Pusher be used to do something so simple? Usual arguments about wasting money vs displaying your hacker plumage.
- Under the hood: Facebook’s cold storage system. A top to bottom reengineering to save power for infrequently accessed photos. Yes, that's cool. Each cold storage datacenter uses 1/6th the energy as a normal datacenter while storing hundreds of petabytes of data. Erasure coding is used to store data. Data is scanned every 30 days to recreate any lost data. As capacity is added data is rebalanced to the new racks. No file system is used at all.
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