Software house, DevOps and AI workspaces

DataHouse.net for software houses: developer environments, CI/CD, staging, tests, containers, repositories, AI-agent servers and secure access.

Industry and concrete problem

Software house, DevOps and AI workspaces

Development teams need repeatable dev/test/stage/prod environments, fast CI/CD servers, containers, test databases and a safe place for AI agents working with code.

Dev/test/stage/prod

Cloud Pro, VPS and dedicated servers help separate environments, versions, resources, databases and team access.

CI/CD and containers

Docker, Kubernetes, Proxmox, Git runners and private registries can run on dedicated infrastructure with monitoring and backup.

A home for your AI agent

A server can host workspaces for Codex, Claude and similar tools: repositories, tests, logs, documentation and secure integrations.

Project security

VPN, IP restrictions, backup, snapshots, client separation and secret control reduce the risk of code or test environment leaks.

Decision signals

Best fit

software houses, DevOps teams, SaaS vendors, integrators, R&D teams, AI startups and operations teams

Main problem

environment separation, fast tests, CI/CD, containers, code backup, secrets and AI workspaces

Core services

Cloud Pro, VPS, dedicated servers, GPU, administration, Docker/Kubernetes, backup and monitoring

Search intent

server for software house, AI workspace for developers, CI/CD server, Docker Kubernetes hosting

Frequently asked questions

Should an AI workspace have a separate server?

It is safer when the agent has access to repositories, tests, secrets, documentation or client data.

Can Docker/Kubernetes run in DataHouse?

Yes. VPS, Cloud Pro, dedicated or GPU servers can be selected for containers, CI/CD and test environments.

How can software-house clients be separated?

Use separate environments, VLAN/VPN, access policies, backup, separate keys, monitoring and change documentation.