hot links
1. Google's Research Areas of Interest: Building scalable, robust cluster applications. At Google we see distributed systems as a technology in its infancy, with huge gaps in the supporting research that represent some of the most important problems in the space. Here are some examples: Resource sharing, Balancing
Product
With the success of Neo4j as a graph database in the NoSQL revolution, it's interesting to see another graph database, HyperGraphDB, in the mix. Their quick blurb on HyperGraphDB says it is a: general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism. It is a graph database
This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. There's a pattern, already begun, that has accelerated by the need for applications to scale and increase complexity, the end result of which will be that applications give
cloud computing
During the last two years, I was involved in several projects deployed on the Amazon cloud. Being a relatively early adopter was a fantastic experience that provided lots of opportunities to burn my fingers and learn from mistakes. It also seriously challenged my view of scalable software architectures. I spoke
Example
How do you scale a viral Facebook app that has skyrocketed to a mind boggling 65 million installs (the population of France)? That's the fortunate problem BuddyPoke co-founder Dave Westwood has and he talked about his solution at Wednesday's Facebook Meetup. Slides for the complete talk
This and the next post will discuss how virtualization and cloud computing, as we know it today, is only a small part of the solution for today’s IT inefficiencies. While new technologies and delivery models have made it much simpler to manage the infrastructure, this is not where our
This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. We tend to think compute of resources as residing primarily in datacenters. Given the fast pace of innovation we will likely see compute resources become pervasive. Some will reside in
hot links
1. Has Amazon EC2 become over subscribed? by Alan Williamson. Systemic problems hit AWS as users experience problems across Amazon's infrastructure. It seems the strange attractor of a cloud may be the same as for a shared hosting service. 2. Understanding Infrastructure 2.0 by James Urquhart. We
Strategy
Ivan Zuzak wrote a fascinating article on Real-time feed processing and filtering using Google App Engine to build Feed-buster, a service that inserts MediaRSS tags into feeds that don't have them. He talks about using polling and PubSubHubBub (real-time) to process FriendFeed feeds. Ivan is trying to devise
This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. Have we reached the end of scaling? That's what I asked myself one day after noticing a bunch of "The End of" headlines. We've
This is a guest posting by Marty Abbott and Michael Fisher, authors of The Art of Scalability. I'm still reading their book and will have an interview with them a little later. If 2010 is the year that you’ve decided to kickoff your startup or if you’
databases
Terrastore is a new-born document store which provides advanced scalability and elasticity features without sacrificing consistency. Here are a few highlights: * Ubiquitous: based on the universally supported HTTP protocol. * Distributed: nodes can run and live everywhere on your network. * Elastic: you can add and remove nodes dynamically to/from your