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And likely a company who does not use cloud resorts to Chef/Puppet/TFE and what not to manage their machines. Such scripting tools may work for a small team as
by hintymad 4y ago
And likely a company who does not use cloud resorts to Chef/Puppet/TFE and what not to manage their machines. Such scripting tools may work for a small team as the engineers deal with their specific needs day in and day out, but it is expensive to scale out to larger teams. I'd assume only a few engineers would enjoy writing hundreds if not thousands of lines of yaml or the whatever so-called DSLs offered by the aforementioned tools. Plus, it takes effort to implement autoscaling, metadata management, image-building process like AMI, security groups or something similar, availability zones, and etc.
- boltzmann-brain 4y agoThere's a lot of other businesses that blindly do cloud for no good reason at all. I calculated the forecast of aws vs own infrastructure (aws is what was being used) for an ML company doing major compute backfills. I did that at the height of the GPU price craze and the whole move would have still amortized itself after just 6 months. Why people stick to aws for that sort of stuff is beyond me. If you ever need to spin up VMs on aws rather than on your own metal, you can always do it then. It boggles the mind that people want to throw away millions to get worse performance and higher error rates.