02 Feature Breakdown

UDIP – Detailed Feature Breakdown

This document provides an in-depth analysis of each core feature, explaining what it does, how it works, whether it involves long-running operations, and how it interacts with other platform components.

1. Unified Dashboard

Description

A web-based single pane of glass that provides real-time visibility into all projects, services, processes, deployments, and system health metrics.

Runtime Characteristics

  • Short-lived: The dashboard itself is a frontend interface that queries backend services
  • Real-time updates: Uses WebSocket connections to receive live status updates

Why It Exists

Developers need a centralized view of everything happening across multiple projects and services without switching between terminal windows, browser tabs, and monitoring tools.

Interactions with Other Features

  • Aggregates data from Project Launcher, Monitoring, Deployment Panel, and Logs
  • Provides navigation to Terminal, File Explorer, and AI Assistant
  • Displays alerts and notifications from Alerting & Automation

2. Project Launcher & Service Manager

Description

A process supervision system that starts, stops, restarts, and monitors long-running services (web servers, APIs, background jobs, databases, etc.).

Runtime Characteristics

  • Long-running: Continuously supervises child processes, ensuring they stay alive
  • Auto-restart on failure: Automatically restarts crashed services based on policy
  • Multi-project support: Can manage services across multiple projects simultaneously

Why It Exists

Developers need a PM2-like tool to keep services running, with automatic restart policies, log capture, and health monitoring—without manually managing multiple terminal windows.

Interactions with Other Features

  • Sends process output to Monitoring & Logs
  • Triggers events in Alerting & Automation when services fail or restart
  • Exposes status to Unified Dashboard
  • Can be started/stopped via Terminal or AI Assistant

3. Integrated Terminal & Command Runner

Description

A web-based terminal interface that allows users to execute commands, run scripts, and interact with the system shell—without leaving the browser.

Runtime Characteristics

  • Long-running: Terminal sessions persist and can be reconnected
  • Multiplexed: Multiple terminal instances can run simultaneously
  • Interactive: Supports full TTY emulation for editors like vim, interactive CLIs, etc.

Why It Exists

Developers need terminal access to run ad-hoc commands, debug issues, and execute scripts—but switching to an external terminal breaks the flow.

Interactions with Other Features

  • Can start/stop services via Project Launcher
  • Command output can be captured by Monitoring & Logs
  • AI Assistant can suggest and execute terminal commands
  • Used by Deployment Panel to run deployment scripts

4. File Explorer & Code Editor

Description

A built-in file browser and code editor for viewing, editing, and managing project files directly in the browser.

Runtime Characteristics

  • Short-lived: File operations are on-demand (open, edit, save)
  • Syntax highlighting and basic IDE features: Code completion, search, and multi-file editing

Why It Exists

Developers need to quickly edit config files, scripts, and code without switching to an external editor—especially when debugging or making small changes.

Interactions with Other Features

  • Edits config files used by Project Launcher and Deployment Panel
  • Used by AI Assistant to apply code changes or generate files
  • Logs file changes for audit purposes in Monitoring & Logs

5. Monitoring & Logs

Description

A centralized logging and metrics aggregation system that collects: - Service logs (stdout, stderr) - System resource usage (CPU, memory, disk) - Process health checks - Error tracking and alerting

Runtime Characteristics

  • Long-running: Continuously collects and indexes logs and metrics
  • Real-time streaming: Logs are streamed to the dashboard as they are generated

Why It Exists

Developers need a single place to view all logs, track errors, and monitor system health—without tailing files or using external tools.

Interactions with Other Features

  • Receives logs from Project Launcher, Terminal, and Deployment Panel
  • Sends alerts to Alerting & Automation when thresholds are breached
  • Provides data to AI Assistant for debugging and analysis
  • Displays aggregated metrics in Unified Dashboard

6. Deployment Panel

Description

A config-driven deployment orchestration system that: - Executes pre-defined deployment workflows - Supports multi-stage deployments (build, test, deploy) - Provides rollback readiness

Runtime Characteristics

  • Long-running: Deployment jobs can take minutes to hours
  • Stateful: Tracks deployment history, success/failure, and rollback points

Why It Exists

Developers need a repeatable, auditable way to deploy applications locally or to remote servers—without manually running scripts.

Interactions with Other Features

  • Uses Terminal to execute deployment commands
  • Logs deployment output to Monitoring & Logs
  • Triggers Alerting & Automation on deployment success/failure
  • Can be initiated via Unified Dashboard or AI Assistant

7. Alerting & Automation

Description

An event-driven automation system that: - Monitors service health, log patterns, and system metrics - Triggers alerts (email, Slack, webhook) when conditions are met - Automates responses (restart service, run script, scale resources)

Runtime Characteristics

  • Long-running: Continuously monitors event streams
  • Config-driven: Users define rules, conditions, and actions in configuration files

Why It Exists

Developers need proactive monitoring and automated remediation—without manually watching dashboards or responding to issues.

Interactions with Other Features

  • Receives events from Project Launcher, Monitoring, and Deployment Panel
  • Can trigger actions via Terminal or AI Assistant
  • Displays alerts in Unified Dashboard

8. Multi-Server Support

Description

The ability to manage services across multiple machines (local, VPS, on-premise servers) from a single interface.

Runtime Characteristics

  • Long-running: Maintains persistent connections to remote servers
  • Agent-based or SSH-based: Options for lightweight agents or direct SSH connections

Why It Exists

Developers and DevOps engineers often manage services across multiple servers—UDIP unifies control without switching contexts.

Interactions with Other Features

  • Project Launcher can start/stop services on remote servers
  • Terminal can open SSH sessions to remote machines
  • Monitoring & Logs aggregates data from all servers
  • Deployment Panel can deploy to multiple servers

9. Plugin System

Description

An extensibility framework that allows users to: - Add custom integrations (Git, Docker, Kubernetes, cloud providers) - Define custom workflows and automation - Extend the UI with custom panels

Runtime Characteristics

  • Short-lived or long-running: Depends on the plugin (some run as background services)
  • Sandboxed: Plugins run in isolated environments to prevent system-wide failures

Why It Exists

No single platform can cover all use cases—UDIP provides extensibility for custom tooling and integrations.

Interactions with Other Features

  • Plugins can register with Project Launcher to manage custom service types
  • Can add custom views to Unified Dashboard
  • Can hook into Alerting & Automation to trigger custom actions
  • AI Assistant can interact with plugins

10. AI Development Assistant

Description

An embedded AI agent that: - Understands live project context (files, logs, running services, configs) - Provides code suggestions, debugging assistance, and automation recommendations - Can execute actions (edit files, run commands, restart services)

Runtime Characteristics

  • Short-lived requests, long-running context: AI queries are on-demand, but context awareness is continuous
  • Context-aware: Has access to project state, logs, and execution history

Why It Exists

Traditional AI assistants (Copilot, ChatGPT) are disconnected from the development environment—UDIP's AI is embedded and context-aware.

Interactions with Other Features

  • Reads data from Monitoring & Logs to assist with debugging
  • Can edit files via File Explorer
  • Can execute commands via Terminal
  • Can start/stop services via Project Launcher
  • Provides suggestions in Deployment Panel and Alerting & Automation

11. Access Control (Future Feature)

Description

Multi-user support with role-based access control (RBAC) for team environments.

Runtime Characteristics

  • Long-running: Authentication and authorization checks on every request
  • Session management: Persistent user sessions

Why It Exists

Teams need to share access to UDIP without exposing sensitive operations to all users.

Interactions with Other Features

  • Controls access to Terminal, File Explorer, Deployment Panel
  • Logs user actions in Monitoring & Logs
  • AI Assistant respects user permissions

Feature Interaction Summary

flowchart TD
    Dashboard[Unified Dashboard]
    Launcher[Project Launcher]
    Terminal[Terminal]
    FileExplorer[File Explorer]
    Monitoring[Monitoring & Logs]
    Deployment[Deployment Panel]
    Alerting[Alerting & Automation]
    AI[AI Assistant]

    Dashboard --> Launcher
    Dashboard --> Terminal
    Dashboard --> FileExplorer
    Dashboard --> Monitoring
    Dashboard --> Deployment

    Launcher --> Monitoring
    Launcher --> Alerting

    Terminal --> Launcher
    Terminal --> Deployment

    FileExplorer --> AI

    Monitoring --> Alerting
    Monitoring --> AI

    Deployment --> Monitoring
    Deployment --> Alerting

    AI --> Terminal
    AI --> FileExplorer
    AI --> Launcher
    AI --> Deployment

Document Version: 1.0
Last Updated: January 2026