Monday, April 27, 2009
Monday, April 20, 2009
Bike Parkour
My jaw dropped and stayed down the whole video. This guy is just so inventive and graceful, and totally insane:
I love the shots where after he jumps over some 20 foot railing, everyone around comes to look over the edge to see if he's ok:
"wtf? did that guy just..."
(thanks steve)
Labels: cycling
Thursday, April 16, 2009
Wednesday, April 15, 2009
Friday, April 10, 2009
Where The Hackers Get Together
PRI's The Takeaway did a nice short video spot on the mixed media hacker collective phenomenon, specifically about NYC Resistor:
"Hacker spaces" are giving geek tinkerers a place to gather, create and collaborate
(My brother is the guy with the bags full of hacked iPods)
Thursday, April 02, 2009
The Buried Lead in Amazon's Elastic MapReduce Announcement

Amazon just announced that you can now run Hadoop based MapReduce operations on massive data collections stored in S3, computed on their EC2 cloud service:
Amazon Elastic MapReduce
This is almost magically beautiful, the possibilities for small science teams to be able to do super-computer level computation (that would traditionally require big teams and big budgets) with a small team and almost no budget... just, wow.
What I also find interesting is the buried lead in this announcement though. That is that this is the first time that Amazon is directly trying to compete against Google's App Engine. The distinction being that App Engine is "platform as service" while AWS is "infrastructure as service". In human words, Google lets you build applications and let worrying about how the infrastructure will scale up your application to meet huge usage patterns up to Google's engineers.
In contrast, Amazon's AWS lets you build your own scalable infrastructure easily with their services, but you need to develop all of your own load balancing and auto-scaling features (or use someone like Scalr's or Rightscale's wrapper around AWS, if you are willing to pay the considerable price)
With this new service launch you just upload your data to their cloud storage (S3), write your data crunching application to their API, then upload it to their service and hit go. This is exactly the workflow of App Engine.
Glad to see the competition is fierce and fast in cloud services right now, this is a great time to be a developer.
Labels: cloud-computing, coding

