I've been encountering a recurring topic in recent cloud discussions: optimizing cloud resources for performance/efficiency. On one side, there are tools offering 100% automatic scaling and cost management, while on the other, there are manual configurations requiring fine-tuning. Which approach do you think is more correct? How reliable are fully automated systems in the long run? Or what are the pros and cons of manual fine-tuning?
In cloud optimization, is manual intervention better, or are fully automated systems the way to go?
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It's comparable to an automatic vs. manual transmission in a car: automatic systems like AWS Auto Scaling or Azure Automation save time and respond quickly to load spikes, but sometimes they lack the fine-tuning for specific workloads—just like an automatic car doesn’t always choose the most efficient driving style.