OPERATING SYSTEMSOS Linux

Is the cloud over-engineered and overpriced?

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Article: https://www.inc.com/sean-kim/how-tech-startups-can-crack-code-of-cloud-infrastructure-costs.html#:~:text=According%20to%20a%202020%20study,to%20the%20other%20enormous%20costs.

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0:00 Introduction

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– Learn Linux Bash for Free https://aka.ms/bashforbeginners
– Learn the Fundamentals of Cloud: https://learntocloud.guide
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16 thoughts on “Is the cloud over-engineered and overpriced?

  • A lot of infra people (like myself) moved to cloud because it meant less time having to go hands on physical kit in the middle of the night when something breaks. Also gives you better bargaining for working from home

  • I’ve been in ops for over 20 years and moved to CE (Azure 😉) for the last 4. Worked for every size company. The one constant with everywhere I’ve worked is lack of upfront planning. Most solutions are management induced duct tape and baling wire. “Get it up and worry about it later.” This is true with self hosted or cloud.

    The nice thing about cloud is it has just about everything most companies need native. If you don’t need it don’t use it, but it’s there if you do.

    I think where companies get into trouble is when they don’t have a clear vision on what they’re going to do and just deploy a ton of cloud infrastructure because they think they need it and it’s “easy” to deploy. This leads to a ton of waste and large bills. Also this toxic trend of the hot new tech is burning VC money with high test gas. For example purchasing the hot new (insert expensive 3rd party software here) because someone wrote an article about it and you don’t use or need most (if any) of the features it offers to get the job done. It’s sad because this type of thinking can result in real world consequences (layoffs).

    Cloud isn’t a silver bullet, but it’s pretty darn nice. 😊

  • Testing the cloud waters… I often time think cloud might be overengineered, altough I mostly dismiss the thoughts with telling myself I will understand more as I learn deeper

  • Different use cases, different abstractions.
    Keeping on with the fundamentals 🎯

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