milk-infrastructure
Milk Infrastructure is an AI-powered platform that automatically deploys, manages, and scales production-grade Kubernetes clusters on any cloud or on-premises, aiming to remove the need for human DevOps and minimize infrastructure cost.
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Quick Overview
Best for: Developer Tools
What it does
Developer Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Developer Tools
Pricing snapshot
Free from Example shown on page: $55/month (1 cluster @ $50 per cluster + 1 service @ $5 per service)
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milk-infrastructure
Milk Infrastructure is an AI-driven platform that automates deployment, management, and autoscaling of production-grade Kubernetes clusters across any cloud provider or on-premises environments. It targets developers and teams that want to avoid hiring dedicated DevOps by providing built-in CI/CD, infrastructure-as-code management, and dynamic resource scaling. Users connect a GitHub repository, choose a deployment type (service, cron-job, or worker), and Milk creates a minimally sized Kubernetes cluster and deploys commits automatically.
AI-powered infrastructure for deploying, managing, and scaling Kubernetes on any cloud.
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Claim this listing for $29Key Features
AI-driven provisioning and management
Uses AI to automatically deploy, manage, and scale Kubernetes clusters with minimal human intervention.
Any cloud / on-premises support
Works with any cloud provider or on-premises infrastructure so teams can run workloads where they prefer.
Built-in CI/CD
Integrated CI/CD that deploys latest commits automatically as part of the platform workflow.
Infrastructure as Code
AI systems create and manage clusters by writing infrastructure-as-code.
Autoscaling and minimal resource footprint
Creates clusters with the absolute minimum resources required and scales everything dynamically to reduce costs.
Multiple deployment types
Supports deploying a repository as a service, cron-job, or worker.
Developer experience features
One-click production clones and seamless localhost testing to simplify developer workflows.
Compliance and production readiness
Claims SOC2 compliance and production-grade Kubernetes clusters.
Pricing
Estimated usage example
Example shown on page: $55/month (1 cluster @ $50 per cluster + 1 service @ $5 per service)- Per-cluster pricing component
- Per-service pricing component
- Dynamic scaling to reduce costs
Use Cases
Deploy services without DevOps hires
Teams can deploy production services and manage Kubernetes without dedicated DevOps engineers, using Milk's automated provisioning and management.
Run scheduled or background jobs
Deploy repositories as cron-jobs or workers to run scheduled tasks or background processing with automated scaling.
Cost-optimized production workloads
Automatically provision minimal resources and autoscale to reduce cloud spend for production workloads.
Multi-cloud or on-prem deployment
Run Kubernetes clusters on any cloud or on-premises to meet data residency, compliance, or cloud preference requirements.
Integrations
GitHub
Connect your GitHub repository to Milk to enable automatic CI/CD and deployment flows.
Any cloud / On-premises
Works with any cloud provider or on-premises infrastructure (page states "Any cloud" and on-premises support).
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Sign up for Milk and access the dashboard.
- 2 Step 2: Connect your GitHub repository to Milk.
- 3 Step 3: Choose how to deploy the repo (service, cron-job, or worker); Milk will create a Kubernetes cluster, write infrastructure-as-code and deploy commits via built-in CI/CD.
Support
Contact
Contact link on the site (the page shows a 'Contact' reference; no explicit email or phone is provided in the supplied content).
Docs
Product claims and onboarding flow are described on the site, but no separate documentation URL was provided in the supplied content.
API
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