u/Loyd2888

AWS has been my whole world for a long time. It's where I'm comfortable, and honestly I've never had a real reason to leave it.

But "only knows one cloud" is starting to feel like a limitation I've put on myself rather than a real constraint. So I'm thinking about picking up Azure, mostly to broaden out and not be a single-cloud person forever.

For people who've actually worked in both: what did learning Azure give you that AWS didn't? And on the flip side, what did you find yourself missing once you were in it?

I run an AWS cost-visualization and optimization platform. Today everything is deterministic, recommendations come straight from the data pipeline, no model in the loop, and I like it that way. I'm considering adding one optional thing: a chatbot (via AWS Bedrock) that can answer questions against your own cost data and recommendations "why did EC2 jump last month," "what's Team X spending," etc. The deterministic engine stays exactly as-is; this is purely an optional Q&A layer.

The wrinkle is that the chatbot has real per-query cost, and usage will vary wildly, some teams will lean on it daily, many won't touch it. For those of you who buy tooling like this, which pricing model would you actually trust?

1. Pass-through - you see and pay your own AI usage (transparent, but variable/unpredictable)
2. Bundled - a flat platform price increase that covers it for everyone (predictable, but light users subsidize heavy ones)
3. Credits - a monthly allotment included, pay-as-you-go beyond it

Less interested in "which sounds nicest" and more in: which would make you distrust the vendor or feel nickel-and-dimed? And does an AI add-on like this even appeal, or do you specifically value the deterministic-only approach?