here2learnstuff

Are you saying your event-ticketing business having downtime is not acceptable or that having downtime for the Spanish demographic is not acceptable?

Not bad, but also, forgive how mean this is going to come across: not using a product from someone who just started their undergrad.

It’s impressive someone early in their career shipped this. There seems to be a stark increase in high-quality AI/data projects from early-career engineers lately and I'm super curious what’s driving that (and honestly speaking: a little jealous).

What is it that you don't like about Pulumi? As I mentioned in another comment, my team of backend-engineers who took over an infra team went from Cloudformation -> CDK -> Terraform -> Pulumi and honestly find it the most approachable for other engineers familiar with normal programming languages (sorry HCL). We've been using it since 2021 and have a "what's on main is what's deployed" philosophy and adopted a RunAtlantis inspired workflow where previews are run as status checks on PRs and require explicit approvals, apply is run on merge to main and periodically, and drift checks run preview+refresh and alerts if what's checked in doesn't match what exists. We don't really use stacks, we just use a separate project for everything and write code to encapsulate modules (and luckily we can easily write unit tests and runtime assertions).

Please expand on your experiences, because I've had great luck with Pulumi at my company since October 2021. No engineer liked HCL, our demographic was engineers who were familiar with programming languages who wanted to self service basic infrastructure (AWS SecretsManager, IRSA roles, Databricks Service Principals, etc). We were pretty easily able to shim in a RunAtlantis inspired system that displayed previews that required explicit approval when a PR was raised, performed apply on merge to main, and ran drift checks periodically.