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LabSync Project Roadmap

Execution Period: January 2026 – May 2026 Primary Goal: To develop a modular RMM (Remote Monitoring and Management) system capable of managing a heterogeneous IT environment (Windows/Linux).

1. Monthly Execution Plan​

This plan details the work scheduled for each month of the project.

January: Architectural Foundation & Security​

The goal of the first stage is to create a stable system skeleton and ensure secure communication between all components.

  • Finalize Agent Architecture: Implement the Micro-Kernel pattern and the mechanism for dynamically loading modules (plugins) from external libraries.
  • Agent Registration Workflow: Implement a device authorization flow that requires administrator approval, blocking access for unverified agents.
  • Network Communication: Stabilize the transport layer between the agent and server, and configure the containerized environment (Docker) and PostgreSQL database.
  • Code Refactoring: Organize the project structure, separating business logic from the infrastructure layer.

February: Remote Access Module (VNC)​

This month is dedicated to the most complex system component: the remote desktop implementation.

  • Screen Capture: Develop an efficient, system-level screen capture mechanism within the agent.
  • Data Transmission: Implement the dedicated Data Plane using WebRTC for high-performance, low-latency desktop streaming. The Control Plane (SignalR) will be used to initiate and manage the connection state.
  • Input Forwarding: Develop mechanisms to send input device events (mouse, keyboard) from the web interface to the remote system.
  • Optimization: Implement data compression to reduce network bandwidth consumption.

March: Task & Automation System​

This stage focuses on enabling remote management of the operating system.

  • Job Queuing: Create a backend system for command distribution (Job Queue) and logic for agents to fetch tasks, including offline support.
  • Script Execution: Implement the SoftwareExecutionModule responsible for running shell commands and automation scripts.
  • Result Handling: Implement a mechanism for capturing standard output (stdout/stderr) and sending execution logs back to the administrator's dashboard.
  • Web Console: Create a UI for interacting with the remote system's shell.

April: Telemetry & Group Management​

Expand the system with analytics and tools for managing multiple workstations simultaneously.

  • Metrics Collection: Extend the agent with modules (SystemInfoModule) to monitor hardware resource usage (CPU, RAM, Disk, Network).
  • Data Storage: Optimize the database for storing large volumes of time-series telemetry data.
  • Data Visualization: Implement charts and reports in the admin dashboard to display hardware health over time.
  • Bulk Operations: Implement logic for grouping devices (e.g., "Computer Lab 101") and executing actions on multiple targets at once.

May: Stabilization, Testing, and Finalization​

The final stage is dedicated to quality assurance and preparing for a production-ready deployment.

  • Load Testing: Verify system performance with a large number of concurrent agent connections and during video streaming.
  • Security Audit: Review authentication and authorization mechanisms and secure sensitive configuration data.
  • Documentation: Prepare technical API documentation, deployment instructions, and end-user guides.
  • UI/UX Finalization: Polish the user interface, fix bugs, and prepare a final demo version for project defense.

2. Project Phases​

The following phases define the functional priorities and success criteria for the project's development.

Phase 1: Core System (MVP)​

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Priority: Critical

Goal: Deliver a stable MVP that fulfills the core requirements for a live demonstration, focusing on the two main pillars: Remote View (VNC) and Script Execution.

  • Functional Scope:
    • Support for Windows 10/11 and Linux on the Agent side.
    • Real-time, bidirectional communication via SignalR for the Control Plane (Online/Offline status, commands, logs). The VNC video stream will use a separate, high-performance WebRTC channel (Data Plane).
    • An execution module (SoftwareExecutionModule) to interpret tasks and select the correct engine (PowerShell/Bash/Nix).
    • An application repository that abstracts the OS (e.g., winget install for Windows vs. nix-env for Linux under a single definition).
  • Expected Outcome: A system that allows an Agent to be run on Windows and Linux, see both as "Online" in the dashboard, establish a VNC connection, and install a test application on both machines simultaneously while receiving logs.

Phase 2: Management & Automation​

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Priority: High

Goal: Enable scalable management of the entire fleet of devices.

  • Computer Groups: Logical grouping (e.g., "Lab 101") and bulk operations.
  • Interactive VNC: Full desktop control (mouse/keyboard input forwarding).
  • Machine Profiles (Desired State): Define the target state of an environment and have agents automatically conform to it.
  • Job Queuing: Handle tasks for offline machines, ensuring execution upon reconnection.

Phase 3: Monitoring & Extensions​

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Priority: Medium

Goal: Provide enhanced support for helpdesk and analytics.

  • System Telemetry: Collect metrics (CPU, RAM, Disk) and configure alerts.
  • Hardware Inventory: Automatically report hardware specifications.
  • Extended Support Tools: Finalize tools for system operators.

3. Security First​

Security is a Core Requirement

Given the system's nature—executing remote commands—security is the highest priority at every stage of development.

  • Tokenization (JWT): Every Agent uses a unique JWT to authorize its SignalR connection.
  • Encryption (HTTPS/WSS): All traffic, including commands and video streams, is encrypted in transit.
  • Command Sanitization (No-Eval): The Agent never interprets an arbitrary string as a script. It only runs predefined system processes with controlled parameters to prevent remote code execution vulnerabilities.
  • Isolation: The Agent Host runs as a privileged service, but the modular architecture allows for future separation of privileges for individual plugins.