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‎docs/development/frontend/storage.mdx‎

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- `form_draft`
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- `wizard_state`
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6. **User Onboarding**: `{feature}_completed` or `{feature}_cancelled`
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- `walkthrough_completed`
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- `tutorial_completed`
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- `onboarding_skipped`
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## Adding New Storage Values
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### Step 1: Define Your Storage Key

‎docs/development/gateway/device-management.mdx‎

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---
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title: Device Management Architecture
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description: Technical implementation of device detection, caching, and management in the DeployStack Gateway CLI
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sidebar: Device Management
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---
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# Gateway Device Management Architecture
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The DeployStack Gateway implements a sophisticated device management system that balances security, performance, and user experience. This document explains the technical architecture, design decisions, and implementation details from a developer perspective.
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## Architecture Overview
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The Gateway's device management system consists of three core components:
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**Device Detection System**
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- Hardware fingerprinting for unique device identification
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- System information collection for compatibility and analytics
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- Lightweight signature generation for cache validation
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**Device Information Cache**
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- High-performance caching to eliminate redundant device detection
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- Secure storage using OS keychain with encrypted fallback
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- Integrity validation and automatic cache invalidation
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**OAuth2 Integration**
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- Device registration during authentication flow
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- Device information included in token exchange
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- No separate device management endpoints required
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## The Performance Problem We Solved
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### Original Challenge
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Before implementing device caching, every Gateway command suffered from a significant performance bottleneck:
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- **Device fingerprinting took 3+ seconds** on every command execution
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- Commands like `deploystack refresh` and `deploystack mcp` felt sluggish
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- Users experienced poor CLI responsiveness
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- System resources were wasted on redundant hardware detection
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### Root Cause Analysis
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Device fingerprinting is inherently expensive because it requires:
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- Network interface enumeration to collect MAC addresses
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- System information queries across multiple OS APIs
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- Cryptographic hashing of collected hardware data
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- File system operations to gather system details
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This expensive operation was happening on **every single command** because device information is required for:
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- Backend API authentication and device tracking
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- Security validation and audit logging
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- Configuration management and team analytics
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## Device Caching Architecture
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### Design Principles
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**Performance First**
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- Cache-first architecture with graceful fallback
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- 30x performance improvement (3s → 0.1s)
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- Persistent cache across logout/login sessions
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**Security Without Compromise**
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- Hardware signature validation for cache integrity
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- Automatic invalidation on hardware changes
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- Encrypted storage with integrity checksums
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**Developer Experience**
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- Completely transparent to end users
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- No manual cache management required
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- Automatic background operation
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### Cache Storage Strategy
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We implemented a dual-storage approach for maximum reliability:
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**Primary: OS Keychain Storage**
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- macOS: Keychain Services
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- Windows: Credential Manager
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- Linux: Secret Service API
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- Benefits: Native OS security, encrypted at rest, user-scoped access
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**Fallback: Encrypted File Storage**
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- AES-256-GCM encryption with derived keys
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- Stored in `~/.deploystack/device-cache.enc`
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- File permissions restricted to user only (0o600)
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- Used when keychain access fails or is unavailable
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### Cache Validation System
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**Hardware Signature Validation**
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- Lightweight hardware signature (not full fingerprint)
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- Detects major hardware changes without expensive operations
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- Automatically invalidates cache when hardware changes detected
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**Integrity Protection**
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- SHA256 checksums with random salts prevent tampering
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- Cache version tracking for schema evolution
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- Automatic cleanup of corrupted or invalid cache entries
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**Time-Based Expiration**
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- 30-day cache lifetime for security
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- Automatic renewal during normal usage
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- Configurable expiration for different deployment scenarios
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## Device Detection Implementation
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### Hardware Fingerprinting Process
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**Network Interface Collection**
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- Enumerate all network interfaces
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- Extract MAC addresses from physical interfaces
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- Filter out virtual and temporary interfaces
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- Handle cross-platform interface naming differences
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**System Information Gathering**
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- Operating system type and version
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- System architecture (x64, arm64, etc.)
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- Hostname and system identifiers
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- Node.js runtime version for compatibility
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**Fingerprint Generation**
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- Combine hardware identifiers in deterministic order
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- Apply cryptographic hashing (SHA256)
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- Generate stable, unique device identifier
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- Ensure consistency across reboots and minor system changes
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### Lightweight Hardware Signatures
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For cache validation, we use a much faster "hardware signature" instead of full fingerprinting:
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**Why Separate Signatures?**
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- Full fingerprinting: 3+ seconds, comprehensive hardware analysis
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- Hardware signature: \<100ms, basic system identifiers
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- Signature detects major changes (new hardware, different machine)
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- Signature allows minor changes (software updates, network changes)
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**Signature Components**
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- Primary MAC address of main network interface
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- System hostname and basic OS identifiers
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- Minimal set of stable hardware characteristics
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- Fast to compute, sufficient for cache validation
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## Security Architecture
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### Threat Model Considerations
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**Cache Tampering Protection**
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- SHA256 checksums with random salts
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- Integrity validation on every cache access
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- Automatic invalidation of corrupted cache
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- Secure key derivation for encryption
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**Hardware Change Detection**
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- Automatic cache invalidation when hardware changes
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- Prevents cache reuse on different machines
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- Detects both major and minor hardware modifications
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- Balances security with usability
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**Storage Security**
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- OS keychain provides encrypted storage
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- Fallback encryption uses industry-standard AES-256-GCM
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- File permissions restrict access to user only
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- No plaintext device information stored
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### Privacy Considerations
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**Minimal Data Collection**
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- Only collect device information necessary for functionality
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- No tracking or analytics data in device cache
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- User control over device naming and identification
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- Clear data retention and cleanup policies
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**Data Isolation**
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- Device cache is user-scoped and isolated
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- No cross-user cache sharing or access
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- Secure cleanup when users are removed
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- Audit trail separate from cached data

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