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Hey, it's HighScalability time:
- Quotable Quotes:
- Chris Anderson: Petabytes allow us to say: ‘Correlation is enough.’
- @adron: Back to writing the micro-services for my composite app with regionally distributed, highly available, key value crypto stores of unicorns!
- DevOps Cafe: when the canary dies you don't buy a stronger canary.
- Mark Pagel: Creativity, like evolution, is merely a series of thefts.
- GitHub: Whoever has more capacity wins.
- The Master: We balance probabilities and choose the most likely. It is the scientific use of the imagination.
- Jonathan Ive: Steve, and I don’t recognize my friend in much of it. Yes, he had a surgically precise opinion. Yes, it could sting. Yes, he constantly questioned. ‘Is this good enough? Is this right?’ but he was so clever. His ideas were bold and magnificent. They could suck the air from the room. And when the ideas didn’t come, he decided to believe we would eventually make something great. And, oh, the joy of getting there!”
- @joestump: Turns out the correct amount of RAM is always 16GB more than you have.
- From a spec of sand does a pearl grow. In this case the oyster is Facebook, the irritant is PHP, and the pearl is Hack, a new improved version of PHP developed by Facebook. Hack now runs all of Facebook's front-end code. Lots of great comments on Hacker News and on Reddit with much lang on PHP hate. Realize Facebook is not trying to build the next perfect language. Historically they coded their web tier in PHP so they have a lot of code working in production. It would be insane to throw that all away. Over the years they've put a lot of work into making PHP more efficient. Hack continues that work by making PHP a better language, coupling PHP's convenient interpreted nature with static typing and many other features commonly found in modern programming languages. If PHP bothers you, Hack is not for you, but that's OK.
- Dish Jump-Starts the Hopper With 8 Tuners and PS4 Support. Ultimate in local caching. Record all the things and then watch what you want later. Streaming access sucks. More local storage!
- Cassandra Hits One Million Writes Per Second on Google Compute Engine on 300 VMs with 300 1TB Persistent Disk volumes, 15,000 clients, median latency of 10.3 ms and 95% completing under 23 ms. It took 1 hour and 10 minutes at a cost of $330 USD. All benchmark caveats apply. They wrote small records of 170 bytes. What happens when you write a large range of data sizes? When you are reading? Are you running queries? Are you backing up? Are indexes being updated? Is there contention? Etc, etc. Still, it's impressive.
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