• Scrubbles@poptalk.scrubbles.tech
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    2 months ago

    Oh god my story. Okay so I was building out a video transcoding service for a company. We all know video transcoding is hella expensive. So I’m using kubernetes to help manage scale, and we’re on the cloud. I warn them hey, cloud is hella expensive, this is going to be… a lot. Well what do you recommend? Glad you asked, and I pitched that we have 3 heavy server nodes sitting either in a rack if we want it official, or even we were small enough we could just have them in the office. They would be VPN’d into the cluster, members of the cluster, and those get the priority. If a transcode job comes in use those nodes, only spin up cloud nodes if the scale is too high. I quoted about 20k for 3 beefy performant machines for the node.

    Executives balked at the price. Way too much money, what a ridiculous idea anyway, we’re a cloud company.

    Two months into the cloud only solution they were averaging 12 grand just on CPU compute! Why is it so high?! That’s ridiculous!

    Absolute fuckers, the morons. I swear I’ve seen so many companies hemorrhage money because they refuse to listen to legit experts in the field. You fuckers, I was trying to save you money, but no your MBA and accounting degrees taught you how to run fucking cloud operations.

    • neidu2@feddit.nl
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      2 months ago

      We spent several hundreds of thousands of dollars last year doing geophysical processing in azure. But it was an emergency: It was a hot fix to avoid losing out on hundred times that amount. Turned out the contract negotiator never bothered telling operations that they agreed to deliver the data with some processing already applied.

      We considered building a processing cluster on site, but buying the necessary hardware and shipping it halfway around the world in a timely manner would’ve been even more costly. Plus I would be the one who had to build the rig, and I was all tied up on a different project a few countries over at that time.