I am curious about this because I see opposing views expressed by different people.
My sample size is me and my immediate friends. I suspect that if you have a resilient multi-cloud deployment, then you'll use it to hunt for a metric you want to hit (speed/price/latency)
However, the engineering cost to get there is pretty high, and almost negates the point of having the cloud (unless you have a scaling requirement where you need 10x at short notice.)
I worked at a large news company, and it was decided that it was cheaper to just pay for the hosted services than pay for the people to run them (think RDS vs home grown DB) RDS is what 2x the cost of a normal instance, but thats still cheaper than the three engineers + oncall to manage a custom deployment and manage the backups and migrations. (along with conway's law of having DBAs)
Comments
My sample size is me and my immediate friends. I suspect that if you have a resilient multi-cloud deployment, then you'll use it to hunt for a metric you want to hit (speed/price/latency)
However, the engineering cost to get there is pretty high, and almost negates the point of having the cloud (unless you have a scaling requirement where you need 10x at short notice.)
I worked at a large news company, and it was decided that it was cheaper to just pay for the hosted services than pay for the people to run them (think RDS vs home grown DB) RDS is what 2x the cost of a normal instance, but thats still cheaper than the three engineers + oncall to manage a custom deployment and manage the backups and migrations. (along with conway's law of having DBAs)