On odd things that are just entertaining.
My space heater stopped working. The switch’s light would turn on, but no fan, no heat. Although there were “no user serviceable parts inside,” I thought I’d take it apart.
After poking around with a multi-meter, I found that there was 120 being distributed around, but the ground wasn’t getting past the bimetal thermostat. Nothing obviously wrong with it, but careful investigation showed what looked like bits of fluff in it. Poking at the contacts, there were three ants squeezed between them (or perhaps one trapped and two would be saviors electrocuted).
Now that I’ve debugged my space heater, it works properly.
Reliving Grace Hopper’s history.
It is a childproof security feature as their little hands won’t reach.
Where else can you find a store like this at the airport?
Never trust your business, applications, or critical data to a cloud service because you are at the mercy of the provider both for security and availability, neither of which are terribly likely. Cloud services are the .coms of the 2nd decade of the 21st century, they come and go and with them so go your data and possibly your entire enterprise. Typically the argument is that larger brands are safer, that a company like Google would not wipe out a service leaving their customers or partners high and dry, that they would be safe.
That would be a false assumption.
It is necessary to understand the mathematics of serial risk to evaluate the risk-weighted cost of integrating a cloud-provisioned service into a business. It is important to note that this is entirely different from integrating third party code, which just as frequently becomes abandonware; while abandonware can result in substantial enterprise costs in engineering an internally developed replacement, a could service simply vanishes when the provisioning company “pivots” or craters, instantly breaking all dependent applications and even entire dependent enterprises: it is a zero day catastrophe.
Serial risks create an exponential risk of failure. When one establishes a business with N critical partners, the business risk of failure is mathematically similar to RAID 0. If each business has a probability of failure of X%, the chances of the business failing is 1-(1-X/100)^N. If X is 30% and your startup is dependent on another startup providing, say, a novel authentication mechanism to validate your cloud service, then the chances of failure for your startup rise from 30% to 51%. Two such dependencies and chances of failure rise to 64% (survival is a dismal 36%).
This morning Kitty brought a live mouse into the house. They seemed to be enjoying staring at each other, so I let them play. Looks like kitty got tired of playing.