milk-infrastructure

milk-infrastructure

Milk Infrastructure uses AI to automatically deploy, manage, and scale production-grade Kubernetes clusters on any cloud or on-premises, aiming to eliminate the need for dedicated DevOps.

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Free
#131 in Developer Tools (131 tools)
Just launched
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Quick Overview

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What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Developer Tools

Pricing snapshot

Free from $55/month (example shown: 1 cluster @ $50 per cluster + 1 service @ $5 per service = $55/month)

Next step

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milk-infrastructure

Milk Infrastructure provides an AI-driven platform that automatically deploys, manages, and scales production-grade Kubernetes clusters on any cloud or on-premises. The product targets developers and teams that want to deploy services without requiring DevOps expertise by abstracting infrastructure concerns and providing built-in CI/CD, localhost testing, and one-click production clones. Milk emphasizes minimal resource usage by creating clusters with the absolute minimum resources required and scaling dynamically to reduce costs.

AI-powered infrastructure for deploying, managing, and scaling Kubernetes on any cloud.

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Key Features

AI-powered deployment and management

AI automatically deploys, manages, and scales production-grade Kubernetes clusters, reducing the need for human DevOps.

Connect GitHub and repo types

Connect your GitHub and choose whether you're deploying a repository as a service, cron-job, or worker.

Infrastructure as Code

Milk's AI systems create and manage clusters by writing infrastructure as code.

Built-in CI/CD

Built-in CI/CD deploys the latest commits automatically.

Autoscaling and minimal resource clusters

Creates clusters with the minimum resources required and scales everything dynamically to reduce costs.

Any cloud or on-premises

Works with any cloud provider or on-premises environments.

Seamless developer experience

Provides one-click production clones, seamless localhost testing, and a developer-friendly workflow.

Compliance and production grade

Creates production-grade, secure, compliant Kubernetes clusters (SOC2 mentioned).

Pricing

Example estimate (slider-based)

$55/month (example shown: 1 cluster @ $50 per cluster + 1 service @ $5 per service = $55/month)
  • Per-cluster charge (example $50 per cluster shown)
  • Per-service charge (example $5 per service shown)
  • Estimated monthly cost displayed via sliders

Use Cases

Deploy repositories as services, cron-jobs, or workers

Connect GitHub repositories and choose deployment types (service, cron-job, worker) to have Milk create and run the appropriate Kubernetes infrastructure.

Run production-grade Kubernetes without hiring DevOps

Teams can manage and deploy Kubernetes in production without dedicated DevOps engineers, as described in the testimonial.

Multi-cloud or on-prem deployments

Deploy applications on any cloud provider or on-premises infrastructure while Milk handles cluster creation and scaling.

Integrations

GitHub

Connect repositories to Milk to deploy them as services, cron-jobs, or workers and trigger built-in CI/CD.

Any cloud provider / on-premises

Milk works with any cloud provider or on-premises infrastructure to create and manage Kubernetes clusters.

Benefits

Removes the need for in-house DevOps by automating Kubernetes deployment and management
Reduces cloud costs by creating minimal-resource clusters and scaling dynamically
Supports any cloud or on-premises environment for deployment flexibility
Provides production-grade, secure, and SOC2-compliant clusters
Delivers a frictionless developer experience with built-in CI/CD and localhost testing

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Sign up for Milk and access the dashboard
  2. 2 Step 2: Connect your GitHub account to Milk
  3. 3 Step 3: Select a repository and choose whether to deploy it as a service, cron-job, or worker; Milk will create a Kubernetes cluster, write infrastructure as code, and use built-in CI/CD to deploy commits automatically

Support

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API

Available: No

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