Automating Infrastructure as Code with Vertex AI

A lot of companies are trying to figure out how AI can be used to improve their business. Most of them are struggling to not just implement AI, but to even find use cases that aren’t contrived and actually add value to their customers. We recently discovered a compelling use case for AI integration in our Konfigurate platform, and we found that implementing generative AI doesn’t require a great deal of complexity. I'm going to walk you through what we learned about integrating an AI assistant into our production system. There's a ton of noise out there about what you "need" to integrate AI into your product. The good news? You don't need much. The bad news? It took too much time sifting through nonsense to find what actually helps deliver value with AI.

We’ll show you how to leverage Google’s Vertex AI with Gemini 1.5 to implement multimodal input for automating the creation of infrastructure as code. We’ll see how to make our AI assistant context-aware, how to configure output to be well-structured, how to tune the output without needing actual model tuning, and how to test the model.

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