"virtual machines" entries
Scale-out applications need scaled-in virtualization.
Data center operating systems are emerging as a first-class category of distributed system software. Hadoop, for example, is evolving from a MapReduce framework into YARN, a generic platform for scale-out applications.
To enable a rich ecosystem of diverse applications to coexist on these platforms, providing adequate isolation is crucial. The isolation mechanism must enforce resource limits, decouple software dependencies among applications and the host, provide security and privacy, confine failures, etc. Containers offer a simple and elegant solution to the problem. However, a question that comes up frequently is: Why not virtual machines (VMs)? After all, these systems face a number of the same challenges that have been solved by virtualization for traditional enterprise applications.
All problems in computer science can be solved by another level of indirection, except of course for the problem of too many indirections” — David Wheeler
A collection of must-see keynotes from Velocity Santa Clara, with bonus videos of some of the best sessions.
Editor’s note: this post originally appeared on Steve Souders’ blog; it is published here with permission.
Velocity Santa Clara was our biggest show to date. There was more activity across the attendees, exhibitors, and sponsors than I’d experienced at any previous Velocity. A primary measure of Velocity is the quality of the speakers. As always, the keynotes were livestreamed — the people who tuned in were not disappointed. I recommend reviewing all of the keynotes from the Velocity YouTube Playlist. All of them were great, but here’s a collection of some of my favorites.
Start. Here. Scott Hanselman’s walk through the evolution of the web and cloud computing is informative and hilarious: