Getting our applications out of the cloud provided the main celebration for our exit, but seeing the actual spend tumble is the prize. See, the only way to get pricing in the cloud down from obscene to merely offensive is through reserved instances. This is where you sign up for a year or more in advance on a certain level of spend. Th...
That’s the thing, ‘cloud’ is just another tool in your toolbox. It’s the right tool for some workloads and the wrong one for others. The fact they’ve shifted the work to their own servers and kept the ops team suggests it was the wrong sort of workload to be in the cloud in the first place.
For a while there was an obsession with moving everything to the cloud, and that was always going to be an expensive mistake in a number of different ways. Hopefully, as the hype dies down more nuanced decisions will be made. There’s a whole gamut of options between all in the cloud and all in the data centre, and when people jump straight from one end to the other I’m put in mind of Hamlet’s quote “There are more things in heaven and earth, Horatio, / Than are dreamt of in your philosophy.” Understand your workload, understand your business’ future plans and their needs, and then make a plan, considering all the tools at your disposal.
If there’s anything that 3 decades in Tech have taught me is that fad-following commonly rules it, even with the supposedly logical (but not really) techies.
Cloud storage and cloud computing became a fad about a decade ago (I still remember the hype repeated by people who had never actually designed distruted systems) so there were tons of people jumping headfirst without a plan into it for the hype and the seemingly cheaper price (if you didn’t think your needs and future evolution through) even though it wasn’t the best choice for them.
No doubt well see the same kind of fad-following over making-sense-for-us thing with the latest hype-train: AI.
Yeah, they use the buzz words but never explain why, in practical terms, it is an improvement over the non-buzzword version.
Oral-B has an “AI” electric toothbrush they sell, marketed as “artificial intelligence has learned from thousands of human brushing behaviors and instantly recognizes your brushing style”. What the hell?
Well, you can train a Neural Network on pretty much anything, even if there’s no point.
Putting ML in the middle doesn’t make it any less susceptible to the general problem with mathematical modeling that is Garbage-In = Garbage-Out - I would even say it makes it more susceptible because those doing it don’t even need to begin to understand what’s going on, unlike with more straightforward algorithms and formulas.
I hate the obsession to move to the cloud and the obsession towards serverless or functions.
Functions are stupid and crazy for anything that is actually used often.
For small utilities, they make a ton of sense, but next time I see an app with millions of requests per day using functions, I’m going to lose my mind.
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Years ago I was the senior techie in designing and implementing distributed high performance server systems and what you reminded me of just made my blood start to boil… :/