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redu.cloud

redu.cloud offers an agent-native cloud platform designed for speed and reliability, allowing users to deploy, scale, and manage infrastructure through AI agents. It provides real VMs, networks, and databases, enabling operations at agent speed with reduced waiting times and token usage. The platform supports various use cases, from self-hosting open-source tools to running private AI stacks.

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redu.cloud is an agent-native cloud platform that redefines how users interact with cloud infrastructure, emphasizing speed, reliability, and control. Unlike traditional cloud providers or PaaS solutions, redu.cloud offers direct access to real virtual machines, networks, and databases, which are managed and operated by AI agents. This approach allows users to run cloud operations at near-agent speed, significantly reducing waiting times and token usage, a feat previously considered impossible.

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The platform enables agents to handle the entire lifecycle of a project, from initial deployment to live fixes. Users can connect their agents through the redu MCP (Master Control Program), which prepares a detailed deployment plan, including cost estimates, for review and approval. Once approved, the agent deploys the application to a live URL. Post-deployment, the same agent can modify configurations, scale capacity, read logs, and fix issues directly within the infrastructure, all while operating within the user's account and quota, with every step visible.

redu.cloud's infrastructure is built on its own stack, not as a reseller, offering real machines with no minimums. It includes a free tier with an always-on server and a Postgres database. The platform supports a wide array of use cases, including hosting SaaS applications, deploying open-source tools like Supabase and Gitea, managing private databases (PostgreSQL, Redis, Qdrant, ClickHouse, MySQL), and building private AI stacks with local models and vector search capabilities. It also facilitates autoscaling web applications behind load balancers and self-hosting internal tools like Uptime Kuma and Ghost.

Security is a core focus, with practices such as encryption in transit (TLS for all connections), encryption at rest (disk-level encryption in Germany), and robust access control based on the principle of least privilege. Customer accounts are isolated, API keys are hashed, and administrative access is restricted. The platform also provides infrastructure isolation, audit logging, and monitoring. While redu.cloud manages the security of the underlying platform, customers are responsible for operating system security, firewall configurations, access management for their teams, and data backup within their instances. The platform offers a pay-as-you-go model, billed hourly with no minimums, and a free tier to get started.

  • CategoryAI DevOps & Cloud Tools
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Agent-native cloud operations

  • Deploy, scale, and configure via AI agents

  • Real virtual machines, networks, and databases

  • Costed deployment plans for review and approval

  • Automated incident fixing and log reading by agents

  • Always-on free server and Postgres database

  • Support for open-source application deployments

  • Managed databases (PostgreSQL, Redis, Qdrant, ClickHouse, MySQL)

  • Private network for app-database communication

  • Self-host private AI stacks with local models

  • Autoscaling web applications with load balancers

  • Self-host internal tools like monitoring and analytics

  • Encryption in transit (TLS) and at rest

  • Customer account and infrastructure isolation

  • Hourly, pay-as-you-go pricing with no minimums

  1. Connect Agent: Point your AI agent at the redu MCP.

  2. Provision Project: Give your agent your project to prepare a deployment plan with costs.

  3. Review & Approve: Review the deployment plan and cost, then approve it.

  4. Deploy Application: Your agent deploys the application to a live URL.

  5. Manage & Scale: Ask the same agent to change configuration or add capacity.

  6. Fix Incidents: If something breaks, your agent reads logs and fixes it in place with your steering.

  • SaaS Hosting
  • Open-Source Tool Deployment
  • Managed Private Databases
  • Private AI Stack Hosting
  • Autoscaling Web Applications
  • Internal Tool Self-Hosting
  • Staging Environments
  • Edge Workloads

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