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The physical and informational barriers we once used to differentiate between our "private" and "public" selves are being eroded by technology, and the erosion is accelerating. If we persist in utilizing a zero-sum, spatial conception of privacy to implement the Fourth Amendment, we will render it ineffective as a guarantor of privacy in the face of arbitrary government action. If we continue along this path, the Fourth Amendment will become, in effect, an artifact - a device that protects against a limited class of real-world intrusions (which will become increasingly unnecessary given the other alternatives).

Have you signed up to try Google App Engine for Java yet? We were so overwhelmed with the response to our early look at Java support on App Engine that we decided to let more developers in now, without waiting. Thus, we're expanding the early look signups to 25,000 developers, in order to give more of you a chance to try it out. So please sign up, give it a try, and let us know what you think. We've already seen a number of interesting apps built and deployed. Stay tuned for us to point some of the cooler ones out in the coming weeks.

Absolutely brilliant example. Imagine dynamic scalable VOIP infrastructure.

Asterisk, a somewhat resource consuming application is considered not fitting for Amazon EC2 structures. This talk will discuss the various issues related to creating dynamically extending platforms, using Asterisk, Amazon EC2, Amazon S3 and some web mesh-ups.

OpenSim 3D Virtual World Server

System hardening guidelines for Amazon EC2

Yahoo! and Cloudera have worked together to produce a couple of training videos for Pig. There is Introduction to Pig, a 50 minute talk on Pig, including copious examples of writing Pig Latin scripts, an overview of how Pig works, and a discussion of the advantages of Pig versus other Hadoop interfaces

Pig Training Available Online Yahoo! and Cloudera have worked together to produce a couple of training videos for Pig. There is Introduction to Pig, a 50 minute talk on Pig, including copious examples of writing Pig Latin scripts, an overview of how Pig works, and a discussion of the advantages of Pig versus other Hadoop interfaces

Learned lessons from the largest player (Flickr, YouTube, Google, etc)

Today we are introducing Amazon Elastic MapReduce , our new Hadoop-based processing service. I'll spend a few minutes talking about the generic MapReduce concept and then I'll dive in to the details of this exciting new service.

The Fair Scheduler gives each user a configurable share of the cluster when he/she has running jobs, but assigns these resources to other users when the user is inactive.

ControlTier for fully automated provisioning

Automatic provisioning and deployment

Move running virtual machines from one physical server to another with no impact to end users

Imagine that a Singapore-based sales manager is accessing a CRM application which was once local, but is now based in the Hong Kong data center. But it's end of quarter and the peak load on the Hong Kong CRM application is over the specified capacity limit, so the transaction (running on a virtual machine) is transferred via VMotion to the data center in San Francisco, completed and sent back to the Singapore sales office.

IBM report about Reservoir