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Re:OnMetal: The Right Way To Scale by x0x0 on Thursday June 19, 2014 @02:46PM (#7917651)
ime non-vm servers are an enormous win over ec2, and probably vms in general. A previous employer moved a large data processing pipeline from ec2 to softlayer; we saw costs fall from ~$100k/mo to high $40k/mo while tripling the throughput for roughly a 6x perf boost.

The one area that this announcement doesn't address, however, is contended networking. Rack local servers with a 2G (or ideally 10G) full port-to-port simultaneous switch did amazing things for our app's performance. When you're looking at whole-app performance, you're sensitive to contention on all of cpu, io, and networking. Hadoop is particularly sensitive to contended i/o, but secondarily sensitive to networking.

edit: s/big data/large data/ -- people who say bigdata are tools

Re:OnMetal: The Right Way To Scale by jayofdoom on Thursday June 19, 2014 @03:10PM (#7917766)
As we talk about here: http://developer.rackspace.com/blog/how-we-run-ironic-and-yo..., each instance is provisioned with redundant 10Gbit network links with minimal network over-provisioning in each cab.
Re:OnMetal: The Right Way To Scale by x0x0 on Thursday June 19, 2014 @03:14PM (#7917786)
oh awesome; did I miss that in the article? Reading is hard...
Re:OnMetal: The Right Way To Scale by lambdaops on Thursday June 19, 2014 @06:12PM (#7918567)
This is why I just say bigger than last week's data.