jm + aws   11

Amazon Web Services Blog: Amazon S3 Performance Tips & Tricks
Doug Grismore provides a very useful S3 performance tip; monotonically increasing keys will hurt performance, and describes a clean-enough way to avoid the problem
s3  performance  aws 
8 weeks ago by jm
Cloud Architecture Tutorial - Platform Component Architecture (2of3)
Amazing stuff from Adrian Cockroft at last week's QCon. Faceted object model, lots of Cassandra automation
cassandra  api  design  oo  object-model  java  adrian-cockroft  slides  qcon  scaling  aws  netflix 
10 weeks ago by jm
Cloudsmith Stack Hammer
something Chris Horn sent on -- using Puppet to build stacks and deploy to AWS using a simple point-and-click interface. looks cool
github  ec2  aws  puppet  stacks  cloudsmith  stack-hammer  via:chorn 
february 2012 by jm
Benchmarking Cassandra Scalability on AWS - Over a million writes per second
NetFlix' benchmarks -- impressively detailed. '48, 96, 144 and 288 instances', across 3 EC2 AZs in us-east, successfully scaling linearly
ec2  aws  cassandra  scaling  benchmarks  netflix  performance 
november 2011 by jm
Amazon hiring embedded OS developers
hey, I know a few of those! 'I need more help on a project I’m driving at Amazon where we continue to make big changes in our datacenter network to improve customer experience and drive down costs while, at the same time, deploying more gear into production each day than all of Amazon.com used back in 2000. It’s an exciting time and we have big changes happening in networking. If you enjoy and have experience in operating systems, networking protocol stacks, or embedded systems and you would like to work on one of the biggest networks in the world, [get in touch].' -- James Hamilton
james-hamilton  aws  jobs  amazon  networking  embedded 
october 2011 by jm
Building with Legos
Netflix tech blog on how they deploy their services. Notably, they avoid the Puppet/Chef approach, citing these reasons: 'One is that it eliminates a number of dependencies in the production environment: a master control server, package repository and client scripts on the servers, network permissions to talk to all of these. Another is that it guarantees that what we test in the test environment is the EXACT same thing that is deployed in production; there is very little chance of configuration or other creep/bit rot. Finally, it means that there is no way for people to change or install things in the production environment (this may seem like a really harsh restriction, but if you can build a new AMI fast enough it doesn't really make a difference).'
devops  cloud  aws  netflix  puppet  chef  deployment 
august 2011 by jm
Amazon EC2 outage: summary and lessons learned
Rightscale CTO on last week's outage; pretty detailed, good round-up of useful commentary from around the web, too
ebs  ec2  aws  cloud  availability  slas  rightscale  amazon 
april 2011 by jm
What Larry Page really needs to do to return Google to its startup roots
massively detailed critique of Google's corporate culture -- lots of internals exposed
google  management  culture  aws  corporate-culture  gossip  from delicious
march 2011 by jm
Quora’s Technology Examined
Python, Nginx, Tornado for COMET stuff, MySQL as a data store, memcached, Thrift, haproxy, AWS, Pylons.  fantastic, very detailed post (via Nelson)
quora  python  nginx  tornado  comet  mysql  memcached  thrift  haproxy  aws  pylons  via:nelson  from delicious
february 2011 by jm
Netflix: Dev and Ops internals
extensive details on the innards of Netflix' move to AWS, from the legendary Adrian Cockcroft
adrian-cockcroft  aws  netflix  ops  cloud  from delicious
november 2010 by jm

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