
Milk Infrastructure
AI that builds, deploys, and manages k8s infra
Milk Infrastructure launched on June 27, 2024 with 1 votes. The site was still online in September 2026, 2 years on.
What it does
The system writes infra as code to your Github repos and automatically containerizes and scales any services (public or private). The goal is to give your average engineer a vercel-like deployment experience for any service in any language at minimal cost.
Point the official OpenAI SDK at Milk Parlor. Milk Man processes completed requests and responses from object storage.
Your app gets its answer. Milk puts the saved traffic to work. Keep the official OpenAI SDK and your existing calls. Change the URL and key. Sends your model calls and returns the answers. Saves eligible request–response pairs in the background. Give it a goal. It runs commands, starts cloud models, measures results, and saves what it learns. Parlor handles the request. Milk Man works on what comes after. The saved file fills the dashboard. Open it to see what changed. Example milestones · set with MILK_SUMMARY_THRESHOLDS . One exchange is a request and its response. Save each eligible request and answer under your account's unique ID. Related exchanges stay grouped as one task. Count new…from milkinfrastructure.com
Does a similar job
all alternatives →- MIMilk Infrastructure – AI that builds, deploys, manages infra2024 · milkinfrastructure.com · ▲6
I've been working on a platform that uses LLMs to build maintain and manage k8s clusters on any cloud. The system writes infra as code to your Github repos and automatically containerizes and scales any services (public or private). The goal is to give your average engineer a vercel-like deployment experience for any service in any language at minimal cost. We have humans involved at the moment auditing LLM outputs and keeping an eye on clusters. We are looking for folks who may be thinking about their first infra/devops hire. Just connect your github and your cloud provider. The system…



- Infrabase2025 · infrabase.co · ▲142
We too at first thought that letting an LLM manage your AWS account must be a bad idea. What could possibly go wrong?? However we couldn’t resist building it, and when we did, we were surprised how much it can do even in plain vanilla form, which currently is just the ai-sdk frontend with some aws sdk code generation (inspared by aws-mcp). We all but stopped using the AWS console internally and switched to Infrabase - a lot of the time it’s much faster to prompt than to click around in AWS console, especially for things that involve multiple steps, IAM roles, etc. So we started to think of…

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