DragonFire Developer Portal

Migration Guide: Download to Service Model

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This comprehensive guide walks you through the process of migrating your DragonFire applications from the download-based model to the new service-based architecture, offering improved scalability, performance, and security.

Important Update

DragonFire is transitioning from a download-based architecture to a service-based model. All new development should use the service-based approach, and existing applications should be migrated according to this guide. The download-based model will be supported until January 2026.

Overview of the Transition

DragonFire is evolving from a traditional download-based software model to a modern service-based architecture. This transition brings significant benefits:

Download Model (Legacy)

  • Local installation required
  • Manual updates
  • Limited to single machine resources
  • Local configuration management
  • Isolated operation
  • Static scaling capabilities

Service Model (New)

  • Cloud-based operation
  • Automatic updates and improvements
  • Access to distributed computational resources
  • Centralized configuration
  • Seamless integration with other services
  • Dynamic scaling based on demand

Key Benefits of the Service Model

Enhanced Performance

Access to distributed computational resources with phi-resonant load balancing provides up to 9 billion operations per second on standard service configurations.

Improved Security

Built-in RWT security protocol with automatic token rotation and geometric verification pathways provides enhanced protection for sensitive operations.

Dynamic Scaling

Automatic resource allocation and scaling based on workload demands, ensuring optimal performance during peak usage without manual intervention.

Seamless Integration

Native integration with other DragonFire services through geometric pathways and the Portal WebSocket Protocol for unified operation.

Continuous Updates

Automatic service updates with zero downtime, ensuring your applications always use the latest features, optimizations, and security enhancements.

Developer Simplicity

Streamlined API interfaces with consistent semantic operations that reduce development complexity and maintenance overhead.

Migration Path Overview

The recommended migration path consists of five key phases:

1

Assessment

Evaluate your current implementation, identify integration points, and plan the migration strategy.

2

Authentication Transition

Migrate from local authentication to service-based RWT authentication system.

3

Core Operations Migration

Replace local processing with equivalent service-based API calls and SDK methods.

4

Data Synchronization

Implement secure data transfer between existing local data and cloud services.

5

Complete Transition

Finalize service integration, testing, and decommissioning of download components.

Phase 1: Assessment

Begin by thoroughly evaluating your current implementation to create an effective migration plan:

Assessment Checklist

Component Mapping Reference

Download Component Service Equivalent Migration Complexity
DragonFire Kernel (Local) DragonFire Kernel Service Medium
Local Cache Manager DragonFire Cache Service Medium
DragonHeart Processor DragonHeart Service High
DragonCube Compute Engine DragonCube Service Medium
Local Authentication System RWT Authentication Service High
Financial Transaction Manager Dragon Wallets Service High
Local Compression Tools Merlin Compression Service Low
Waveform Storage NESH Service Medium
Voice Processing System ECHO Service Medium
Local AI Integration Aurora Service High

Dependency Analysis Tool

Use the DragonFire Dependency Analyzer to automatically scan your codebase and map local dependencies to service equivalents.

// Install the dependency analyzer
npm install @dragonfire/dependency-analyzer

// Run the analyzer on your codebase
const { DepAnalyzer } = require('@dragonfire/dependency-analyzer');

const analyzer = new DepAnalyzer({
  scanPath: './src',
  includeNodeModules: false,
  generateReport: true,
  reportFormat: 'html'
});

// Analyze dependencies
analyzer.analyze()
  .then(results => {
    console.log('Analysis complete!');
    console.log(`Found ${results.components.length} DragonFire components`);
    console.log(`Generated report at ${results.reportPath}`);
    
    // Display migration complexity estimate
    console.log('Migration complexity estimate:');
    console.log(`- Low complexity components: ${results.complexity.low}`);
    console.log(`- Medium complexity components: ${results.complexity.medium}`);
    console.log(`- High complexity components: ${results.complexity.high}`);
    
    // Estimated migration time
    console.log(`Estimated migration time: ${results.estimatedTime} hours`);
  })
  .catch(err => {
    console.error('Analysis failed:', err);
  });

This tool generates a comprehensive HTML report with detailed migration recommendations for each component, including:

  • Service API endpoints that replace local functions
  • SDK method equivalents for local operations
  • Data structure transformations needed
  • Authentication requirements
  • Estimated migration time for each component

Phase 2: Authentication Transition

The next step is to migrate from local authentication to the service-based RWT (Rotational WebSockets) authentication system:

// Old approach (local authentication)
import { LocalAuth } from '@dragonfire/local-auth';

// Initialize local authentication
const auth = new LocalAuth({
  configPath: './config/auth.json',
  keyFile: './secure/private.key',
  encryptionLevel: 'high'
});

// Authenticate user
const session = await auth.authenticate({
  username: 'user@example.com',
  password: 'password123'
});

// Use authenticated session
if (session.valid) {
  const kernel = await createKernelInstance(session.token);
  // ... continue with local operations
}

// New approach (service authentication)
import { DragonFireClient } from '@dragonfire/client';
import { RWTClient } from '@dragonfire/rwt-client';

// Initialize core client
const dragonfire = new DragonFireClient({
  apiKey: 'YOUR_API_KEY',
  region: 'us-west'
});

// Initialize RWT client for authentication
const rwt = new RWTClient(dragonfire);

// Connect to authentication service
await rwt.connect('auth-service');

// Create secure authentication channel
const authChannel = await rwt.createSecureChannel({
  purpose: 'authentication',
  encryptionLevel: 'maximum'
});

// Authenticate user
const authResult = await authChannel.request({
  action: 'AUTHENTICATE',
  credentials: {
    email: 'user@example.com',
    password: 'password123'
  }
});

// Use authenticated session
if (authResult.success) {
  // Store the token securely
  localStorage.setItem('df_auth_token', authResult.token);
  
  // Set token for future requests
  dragonfire.setAuthToken(authResult.token);
  
  // Set up automatic token rotation
  rwt.setupTokenRotation({
    token: authResult.token,
    interval: 300000, // 5 minutes
    pattern: 'phi'    // Phi-resonant rotation pattern
  });
  
  // Continue with service operations
}

Key Authentication Changes

  • Token Management: Service tokens are rotated automatically using the phi-resonant pattern for enhanced security
  • Secure Channels: Authentication occurs through dedicated secure channels
  • Centralized Authorization: Permission management is handled server-side
  • No Local Key Files: No need to manage private key files locally

Phase 3: Core Operations Migration

Replace local processing operations with equivalent service-based API calls:

Kernel Operations Migration

// Old approach (local kernel)
import { LocalKernel } from '@dragonfire/local-kernel';

// Initialize local kernel
const kernel = new LocalKernel({
  configPath: './config/kernel.json',
  dimensions: 7,
  resourceAllocation: {
    memory: '2GB',
    computeThreads: 4
  }
});

// Execute a local operation
const result = await kernel.execute({
  pattern: 'phi',
  operation: 'transform',
  data: inputData,
  precision: 'high'
});

// New approach (service kernel)
import { DragonFireClient } from '@dragonfire/client';

// Initialize the core client
const dragonfire = new DragonFireClient({
  apiKey: 'YOUR_API_KEY',
  region: 'us-west'
});
await dragonfire.connect();

// Access the kernel service
const kernel = dragonfire.kernel;

// Execute the same operation through the service
const result = await kernel.execute({
  pattern: 'phi',
  dimensions: 7,
  operation: 'transform',
  data: inputData,
  options: {
    precision: 'high',
    optimization: 'maximum'
  }
});

Kernel Migration Notes

  • Service-based kernel automatically scales resources based on workload
  • Operation syntax is largely compatible, with minor parameter changes
  • Service operations support additional optimization parameters
  • No need to manage local resource allocation

Cache Operations Migration

// Old approach (local cache)
import { LocalCache } from '@dragonfire/local-cache';

// Initialize local cache
const cache = new LocalCache({
  cachePath: './data/cache',
  maxSize: '500MB',
  evictionPolicy: 'lru'
});

// Store data in local cache
await cache.set('user_profile_123', userData, {
  ttl: 3600,
  priority: 'high'
});

// Retrieve data from local cache
const cachedData = await cache.get('user_profile_123');

// New approach (service cache)
import { DragonFireClient } from '@dragonfire/client';

// Initialize the core client
const dragonfire = new DragonFireClient({
  apiKey: 'YOUR_API_KEY',
  region: 'us-west'
});
await dragonfire.connect();

// Access the cache service
const cache = dragonfire.cache;

// Store data in service cache
await cache.set('user_profile_123', userData, {
  ttl: 3600,
  pattern: 'fractal',
  priority: 'high',
  sync: true
});

// Retrieve data from service cache
const cachedData = await cache.get('user_profile_123');

Cache Migration Notes

  • Service cache offers millisecond-level synchronization across distributed systems
  • Fractal storage patterns optimize data retrieval based on access patterns
  • No need to manage local cache storage or eviction policies
  • Multi-region synchronization is available with the sync: true option

Data Processing Migration

// Old approach (local processing)
import { DragonHeart } from '@dragonfire/local-heart';
import { DragonCube } from '@dragonfire/local-cube';

// Initialize local components
const heart = new DragonHeart({
  configPath: './config/heart.json',
  optimizationLevel: 'high'
});

const cube = new DragonCube({
  configPath: './config/cube.json',
  dimensions: 3,
  centerDimensions: 7
});

// Process data locally
const heartResult = await heart.process({
  sequence: dataSequence,
  pattern: 'fibonacci',
  resonance: 'phi'
});

// Transform with local cube
const transformedData = await cube.execute({
  operation: 'transform',
  input: heartResult,
  transformationType: 'jitterbug'
});

// New approach (service processing)
import { DragonFireClient } from '@dragonfire/client';

// Initialize the core client
const dragonfire = new DragonFireClient({
  apiKey: 'YOUR_API_KEY',
  region: 'us-west'
});
await dragonfire.connect();

// Access service components
const heart = dragonfire.heart;
const cube = dragonfire.cube;

// Process data with service
const heartResult = await heart.process({
  sequence: dataSequence,
  pattern: 'fibonacci',
  resonance: 'phi',
  dimensions: 7
});

// Initialize and use a compute cube
const computeCube = await cube.initialize({
  dimensions: 3,
  centerDimensions: 7,
  optimizationPattern: 'phi'
});

// Transform with service cube
const transformedData = await computeCube.execute({
  operation: 'transform',
  input: heartResult,
  transformationType: 'jitterbug'
});

Processing Migration Notes

  • Service components provide access to significantly more computational resources
  • Operations remain syntactically similar with minor parameter adjustments
  • Higher dimensional processing is available in the service model
  • Cube initialization is separate from execution in the service model

Phase 4: Data Synchronization

Implement secure data transfer between existing local data and cloud services:

import { DragonFireClient } from '@dragonfire/client';
import { MigrationTool } from '@dragonfire/migration-tools';
import { Merlin } from '@dragonfire/merlin-sdk';
import * as fs from 'fs';

async function migrateData() {
  // Initialize the core client
  const dragonfire = new DragonFireClient({
    apiKey: 'YOUR_API_KEY',
    region: 'us-west'
  });
  await dragonfire.connect();
  
  // Initialize migration tool
  const migrationTool = new MigrationTool({
    sourceType: 'local',
    sourcePath: './data',
    targetType: 'service',
    targetService: dragonfire,
    compressionEnabled: true
  });
  
  // Initialize Merlin for data compression
  const merlin = new Merlin({
    apiKey: 'YOUR_API_KEY',
    useCloud: true
  });
  
  // Define data migration mappings
  const mappings = [
    {
      sourcePattern: 'users/*.json',
      targetCollection: 'users',
      transform: (data) => {
        // Transform user data to new format
        return {
          id: data.userId,
          profile: {
            name: data.name,
            email: data.email,
            preferences: data.settings || {}
          },
          metadata: {
            migrated: true,
            migrationDate: new Date().toISOString()
          }
        };
      }
    },
    {
      sourcePattern: 'transactions/*.json',
      targetCollection: 'financial_records',
      transform: (data) => {
        // Transform transaction data
        return {
          transactionId: data.id,
          amount: data.amount,
          currency: data.currency || 'USD',
          timestamp: data.date,
          parties: {
            sender: data.from,
            recipient: data.to
          },
          metadata: {
            migrated: true,
            originalReference: data.reference || null
          }
        };
      }
    },
    {
      sourcePattern: 'analytics/*.json',
      targetCollection: 'insights',
      // Compress large analytics data
      preProcess: async (data) => {
        if (JSON.stringify(data).length > 1024 * 1024) { // If > 1MB
          const compressed = await merlin.compress(JSON.stringify(data), {
            level: 'high',
            mode: 'text'
          });
          return {
            compressed: true,
            data: compressed.data,
            originalSize: JSON.stringify(data).length,
            compressionRatio: compressed.ratio
          };
        }
        return data;
      }
    }
  ];
  
  // Configure migration
  migrationTool.setMappings(mappings);
  
  // Execute migration with progress reporting
  const result = await migrationTool.migrate({
    batchSize: 100,
    validateEach: true,
    continueOnError: true,
    progressCallback: (progress) => {
      console.log(`Migration progress: ${progress.percentage.toFixed(2)}%`);
      console.log(`Processed ${progress.current} of ${progress.total} items`);
    }
  });
  
  // Generate migration report
  const report = migrationTool.generateReport();
  fs.writeFileSync('./migration-report.json', JSON.stringify(report, null, 2));
  
  console.log('Migration complete!');
  console.log(`Successfully migrated: ${result.success} items`);
  console.log(`Failed: ${result.failed} items`);
  console.log(`Validation errors: ${result.validationErrors}`);
  
  return result;
}

Data Migration Strategies

Choose the appropriate migration strategy based on your data volume and requirements:

Strategy Best For Process
Direct Migration Small to medium datasets with simple structures One-time direct transfer with transformation
Batched Migration Large datasets Chunked transfer in configurable batch sizes
Parallel Migration High-performance requirements Multi-threaded transfer of independent data chunks
Hybrid Operation Systems that need continuous operation Dual-write approach with gradual cutover
Compressed Migration Very large datasets with bandwidth constraints Merlin compression applied to data during transfer

Phase 5: Complete Transition

Finalize service integration, perform validation testing, and decommission download components:

Transition Completion Checklist

import { DragonFireClient } from '@dragonfire/client';
import { TestSuite } from '@dragonfire/testing';
import { ServiceMonitor } from '@dragonfire/monitoring';

async function completeTransition() {
  // Initialize the core client
  const dragonfire = new DragonFireClient({
    apiKey: 'YOUR_API_KEY',
    region: 'us-west'
  });
  await dragonfire.connect();
  
  // Run comprehensive test suite
  const testSuite = new TestSuite({
    targetService: dragonfire,
    testCases: './tests/service-migration',
    outputPath: './reports/migration-tests',
    timeout: 300000 // 5 minutes
  });
  
  const testResults = await testSuite.runAll();
  
  if (testResults.failedTests.length > 0) {
    console.error(`${testResults.failedTests.length} tests failed!`);
    for (const failure of testResults.failedTests) {
      console.error(`- ${failure.name}: ${failure.error}`);
    }
    throw new Error('Migration validation failed');
  }
  
  console.log(`All ${testResults.passedTests.length} tests passed!`);
  
  // Set up service monitoring
  const monitor = new ServiceMonitor({
    service: dragonfire,
    metrics: [
      'requestLatency',
      'errorRate',
      'throughput',
      'availability',
      'resourceUtilization'
    ],
    alertThresholds: {
      errorRate: 0.01, // Alert if error rate exceeds 1%
      latency: 500,    // Alert if latency exceeds 500ms
      availability: 0.995 // Alert if availability drops below 99.5%
    },
    reporting: {
      interval: 300000, // 5 minutes
      destinations: ['dashboard', 'email', 'webhook']
    }
  });
  
  await monitor.start();
  console.log('Service monitoring active');
  
  // Archive local data
  console.log('Archiving local data...');
  // [Archive code here]
  
  console.log('Migration complete!');
  
  return {
    status: 'complete',
    testResults: {
      total: testResults.passedTests.length + testResults.failedTests.length,
      passed: testResults.passedTests.length,
      failed: testResults.failedTests.length
    },
    monitoring: {
      active: true,
      metrics: monitor.getActiveMetrics()
    }
  };
}

Framework-Specific Migration Guides

DragonFire provides specialized migration guides for common frameworks and environments:

Migration Support

DragonFire provides comprehensive support to assist with your migration process:

Developer Support

Direct access to DragonFire engineers through the Developer Portal for technical assistance with migration challenges.

Contact Support

Migration Consultations

Schedule 1:1 consultations with DragonFire architects to develop a customized migration strategy for your specific implementation.

Schedule Consultation

Migration Tools

Access specialized tools designed to automate and simplify the migration process, from code scanning to data transfer.

Access Tools

Documentation

Comprehensive documentation covering every aspect of the migration process, including step-by-step guides and best practices.

View Documentation

Migration Workshops

Participate in interactive online workshops focused on different aspects of the migration process, led by DragonFire engineers.

Register for Workshops

Community Forums

Connect with other developers who are migrating their applications and share experiences, tips, and solutions.

Join the Forum

Migration Timeline

Jan 2025
Apr 2025
Jul 2025
Oct 2025
Jan 2026
Beta Support
Service APIs in beta with dual support for download and service models
General Availability
Service APIs generally available with complete feature parity
Download Deprecation
Download model marked as deprecated, new features service-only
Download EOL
End-of-life for download model, service model only
You Are Here

Next Steps

Ready to begin your migration journey? Here are the recommended next steps: