amazon
Please see The Updated Big List Of Articles On The Amazon Outage for a new improved list. So many great articles have been written on the Amazon Outage. Some aim at being helpful, some chastise developers for being so stupid, some chastise Amazon for being so incompetent, some talk about
Hadoop
A demonstration, with repeatable steps, of how to quickly fire-up a Hadoop cluster on Amazon EC2, load data onto the HDFS (Hadoop Distributed File-System), write map-reduce scripts in Ruby and use them to run a map-reduce job on your Hadoop cluster. You will not need to ssh into the cluster,
Paper
Write a little "Hello World" program these days and it runs inside a bewildering Russian Doll of nested environments, each layer adding its own special performance and complexity tax. First, a language executes in its own environment of data structure libraries, memory management, and so on. That, more
Strategy
Vaibhav Puranik in Web serving in the cloud – our experiences with nginx and instance sizes describes their experience trying to maximum traffic and minimum their web serving costs on EC2. Initially they tested with two m1.small instance types and then they the switched to two c1.mediums instance types.
Product
This is a part interview part guest with Sebastian Stadil, founder of Scalr, a cheaper open-source version of RightScale. Scalr takes care of all the web site infrastructure bits to on Amazon (and other clouds) so you don’t have to. I first met Sebastian at one of the original
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
amazon
With so many database options available these days, like for the rest of life, it's natural to wonder how it all fits together. Amazon complicated, or rather expanded the available options by introducing RDS, their relational database service. RDS is MySQL safely cocooned as a manageable cloud element,
EC2
This slide show presents eHarmony.com experience (one of the biggest dating sites out there) in using Amazon EC2 and MapReduce to scale their service. Go to the Slideshare presentation
Java
Google App Engine (GAE) is focused on making development easy, but limits your options. Amazon Web Services is focused on making development flexible, but complicates the development process. Real enterprise applications require both of these paradigms to achieve success… What we really want is the flexibility of AWS and the
Example
Mather Corgan, president of HotPads, gave a great talk on how HotPads uses AWS to run their real estate search engine. I loved the presentation for a few reasons: It gives real costs on on their servers, how many servers they have, what they are used for, and exactly how
Product
Update 35: How and Why Glue is Using Amazon SimpleDB instead of a Relational Database. Discusses a key design decision that required duplicating data in order to mimic RDBMS joins: Given the trade off between potential inconsistencies and scalability, social services have to choose the latter. Update 34: Apparently Amazon
Scalability
Scalability Perspectives is a series of posts that highlights the ideas that will shape the next decade of IT architecture. Each post is dedicated to a thought leader of the information age and his vision of the future. Be warned though – the journey into the minds and perspectives of these