Cloud platforms like Azure, AWS, or GCP are game-changers for scaling fast, but those bills can hit hard—think oversized servers or sneaky usage spikes. I’ve been thinking over how Large Language Models (LLMs) are making cloud cost management way easier, and it’s honestly super cool!

Here’s why I’m excited:

Smart Tips: LLMs can analyze your textual software's cloud setup, their related business processes, and functional and non-functional requirements, delivering tailored recommendations to optimize resources, boost performance, and cut costs while aligning with your business goals.

Plan for Growth: They can predict what scaling up will cost by providing your future scaling goals and analyzing your current textual cloud setup, so you’re ready when your business takes off.

No Jargon: Complex cloud pricing structures can be confusing, but our AI-powered insights break them down in plain English. Everyone on your team can understand costs, optimize spending, and make informed decisions together.

Bonus for Azure Users: Got an Azure estimate Excel file exported from Azure Pricing Calculator? Feed it to an LLM along with its respective business process. The LLM analyzes the nature of the business process and will give you tailored feedback on where to trim costs or fix gaps.

It’s like having a budget-savvy sidekick for your cloud! Who else is using AI to keep cloud costs in check? Who else is using AI to keep cloud costs in check? Drop a comment or let’s swap ideas!