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Hey, it's HighScalability time: A feather? Brass relief? River valley? Nope. It's frost on mars! * $10 billion: Microsoft data center spend per year; 1: hours from London to New York at mach 4.5; 1+: million Facebook requests per second; 25TB: raw data collected per day
Interesting
How do you program a computer with 10 terabytes of RAM in a single address space? When the great Adrian Cockcroft was interviewed for Enterprise Initiatives Episode blog, that’s one of the answers he gave to the question of “What’s the next big thing?” Adrian says we are
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Who's Hiring? * VoltDB's in-memory SQL database combines streaming analytics with transaction processing in a single, horizontal scale-out platform. Customers use VoltDB to build applications that process streaming data the instant it arrives to make immediate, per-event, context-aware decisions. If you want to join our ground-breaking engineering
Strategy
Daniel Bryant gave an energetic talk at Devoxx UK 2015 on lessons learned from over five years of experience with microservice based projects. The talk: The Seven Deadly Sins of Microservices: Redux (video, slides). If you don't want to risk your immortal API then be sure to avoid:
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Hey, it's HighScalability time: Where does IBM's Watson or Google Translate fit? (SciencePorn) * 40Tb/s: Bandwidth for Windows 10 launch; 4.04B: Facebook Q2 revenue; 37M: Americans who don't use the web; * Quotable Quotes: * @BoredElonMusk: We would have already discovered Earth 6.0 if
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Warning: A quote I use in this article is quite graphic. That's the power of the writing, but if you are at all squirmy you may want to turn back now. Debugging requires a particular sympathy for the machine. You must be able to run the machine and
Strategy
This is a guest repost by Alex Petrov. Find the original article here. Most problem are quite straightforward to solve: when something is slow, you can either optimize it or parallelize it. When you hit a throughput barrier, you partition a workload to more workers. Although when you face problems
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The most frequent questions we answer for developers and devops are about our architecture and how we achieve such high availability. Some of them are very skeptical about high availability with bare metal servers, while others are skeptical about how we distribute data worldwide. However, the question I prefer is
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Hey, it's HighScalability time: Walt Disney doesn't mouse around. Here's how he makes a goofy business plan. * 81%: AWS YOY growth; 400: hours of video uploaded to YouTube EVERY MINUTE; 9,000: # of mineable asteroids near earth; 1,400: light years to Earth'
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This is aimed towards taking you through key architectural decisions which will make a social application a true next generation social product. The proposed changes addresses following attributes; a) availability b) reliability c) scalability d) performance and flexibility towards extensions (not modifications) Goals a) Ensuring that user’s content is
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Who's Hiring? * Make Tumblr fast, reliable and available for hundreds of millions of visitors and tens of millions of users. As a Site Reliability Engineer you are a software developer with a love of highly performant, fault-tolerant, massively distributed systems. Apply here now! * At Scalyr, we're
Example
The most frequent questions we answer for developers and devops are about our architecture and how we achieve such high availability. Some of them are very skeptical about high availability with bare metal servers, while others are skeptical about how we distribute data worldwide. However, the question I prefer is