This is a guest post by Mike Chesnut, Director of Operations Engineering at Crittercism. This June, Mike will present at MongoDB World on how Crittercism scaled to 30,000 requests/second (and beyond) on MongoDB.
MongoDB is capable of scaling to meet your business needs — that is why its name…
No soft landing, no happy ending—we simply failed.
It’s been a long four year journey, full of highs and lows. I am simultaneously incredibly proud, and incredibly disappointed.
I’m incredibly proud of an amazing team and all that they have accomplished. Our most recent product, …
Engaging honesty and great learning!
Building an open source Nest
"Google’s recent acquisition of Nest, the maker of smart thermostats and smoke detectors, has sparked concerns of future plans for the devices, and how Google’s omnipresent thirst for information will affect them. Thus, a team of engineers at Spark sat down and roughed out a prototype for an open source version of Nest. It looks surprisingly good for such a short development cycle, and they’ve posted their code on Github. The article has a number of short videos illustrating the technology they used, and how they used it. Quoting: ‘All in, we spent about $70 on components to put this together (including $39 for the Spark Core); the wood and acrylic were free. We started working at 10am and finished at 3am, with 3.5 engineers involved (one went to bed early), and the only work we did in advance was order the electronic components. We’re not saying that you can build a $3.2 billion company in a day. But we are saying that you can build a $3.2 billion company, and it’s easier now than it’s ever been before.’”
An open source Nest… nice!
Just announced — IBM Watson Group
The new division, based in New York City’s Silicon Alley, will have about 2,000 employees focused on software, services, research, experts and sales people.
- IBM Watson Discovery Advisor is aimed at pharmaceutical, publishing and education research. The promise here is that Watson will wade through search results to deliver data and context faster for researchers.
- IBM Watson Analytics Advisor is designed to be used by enterprises to send questions and raw data sets to Watson and allow the system to deliver insight.
Exciting possibilities !
The “cloud” will become more intelligent, not just a place to store data—Cloud intelligence will evolve into becoming an active resource in our daily lives, providing analysis and contextual advice. Virtual agents could, for example, design your family’s weekly menu based on everyone’s health profiles, fitness goals, and taste preferences.
It is now possible to identify the meaning of words with multiple meanings, without using their semantic context
Two Brazilian physicists have now devised a method to automatically elucidate the meaning of words with several senses, based solely on their patterns of connectivity with nearby…
You know what drives me crazy? It’s all these people talking about how great technology is, and how it saves all this time. But, what good is saved time, if nobody uses it? If it just turns into more busy work. You never hear somebody say, ‘With the time I’ve saved by using my word processor, I’m gonna go to a Zen monastery and hang out.’ I mean, you never hear that.