Migration Guide: Download to Service Model
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:
Assessment
Evaluate your current implementation, identify integration points, and plan the migration strategy.
Authentication Transition
Migrate from local authentication to service-based RWT authentication system.
Core Operations Migration
Replace local processing with equivalent service-based API calls and SDK methods.
Data Synchronization
Implement secure data transfer between existing local data and cloud services.
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:
Migration Timeline
Next Steps
Ready to begin your migration journey? Here are the recommended next steps:
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