jm + services   5

Latency's Worst Nightmare: Performance Tuning Tips and Tricks [slides]
the basics of running a service stack (web, app servers, data stores) on AWS. some good benchmark figures in the final slides
benchmarks  aws  ec2  ebs  piops  services  scaling  scalability  presentations 
8 weeks ago by jm
Ironfan
'an expressive toolset for constructing scalable, resilient [service] architectures. It works in the cloud, in the data center, and on your laptop, and it makes your system diagram visible and inevitable. Inevitable systems coordinate automatically to interconnect, removing the hassle of manual configuration of connection points (and the associated danger of human error).' Looks like a pretty neat cluster deployment tool; driven from a single configuration file, using Chef, integrating closely with AWS and providing many useful additional features
chef  deployment  clusters  knife  services  aws  ec2  ops  ironfan  demo 
january 2013 by jm
runit
'a UNIX init scheme with service supervision' - philosophically similar to daemontools, widely packaged, LSB init.d-script-compliant, BSD-licensed
daemon  supervision  services  unix  lsb  server  ops 
january 2013 by jm
What Second Life can teach your datacenter about scaling Web apps
good scaling advice from Linden Labs' Ian Wilkes (who doesn't seem to have a blog, sadly)
linden  ian-wilkes  scaling  datacenters  scalability  deployment  ops  services  from delicious
february 2010 by jm

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