CtrlOps
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Getting Started

Quick Start

Secure your workstation and connect to your first production server in minutes

Welcome! This guide will get you from zero to managing your first server in under 5 minutes.

Prerequisites

Before you begin, you'll need:

  • A Linux server (Ubuntu 22.04+, CentOS Stream 9+, Debian 11+, or Fedora 38+)
  • Your server's IP address
  • SSH access to your server (username + password or SSH key)

Don't have a server yet? You can use:

  • AWS EC2 (Amazon Linux 2023, Ubuntu 22.04/24.04)
  • DigitalOcean Droplet (Ubuntu 22.04/24.04 LTS)
  • Google Compute Engine (Debian 12, Ubuntu 22.04/24.04)
  • Azure VMs (Ubuntu 22.04/24.04 LTS, CentOS Stream 9)
  • Any cloud provider with Linux VMs
  • A local VM (UTM for Mac, VirtualBox, VMware)
  • Raspberry Pi 4/5 with Raspberry Pi OS or Ubuntu

Step-by-Step Guide

Download CtrlOps

Download the latest version for your platform:

Install the Application

  • Mac: Open the .dmg file and drag CtrlOps to Applications
  • Windows: Run the installer and follow the prompts
  • Linux: Extract the archive and run ./ctrlops

Launch and Connect

  1. Open CtrlOps
  2. Click "Add Server" in the top right
  3. Enter your server details:
    • Name: My Server (any name you want)
    • IP Address: Your server's IP
    • Username: Usually root or your username
  4. Upload your SSH key or enter password
  5. Click "Connect"

Start Managing!

Once connected, you'll see:

  • Terminal: Execute commands with AI assistance
  • File Manager: Browse and edit files visually
  • Monitoring: Real-time CPU, RAM, and disk usage
  • Deployments: Set up automated deployments

What's Next?

The Human Element: Once connected, you’ll see the Agentic Persona selector. This isn't just a chatbot; it's a senior engineer tuned to your specific task—be it a midnight outage or a security audit.

Engineering Support: If the handshake fails, don't waste time guessing. Contact our team at daxesh@tsttechnology.in for direct, human-to-human technical support.

Next Steps

Now that you've established your first bridge, explore the AI Terminal to see how the system translates complex kernel states into plain, actionable engineering prose.

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