Apply Composer changes: comprehensive API updates, migrations, middleware, and infrastructure improvements
- Add comprehensive database migrations (001-024) for schema evolution - Enhance API schema with expanded type definitions and resolvers - Add new middleware: audit logging, rate limiting, MFA enforcement, security, tenant auth - Implement new services: AI optimization, billing, blockchain, compliance, marketplace - Add adapter layer for cloud integrations (Cloudflare, Kubernetes, Proxmox, storage) - Update Crossplane provider with enhanced VM management capabilities - Add comprehensive test suite for API endpoints and services - Update frontend components with improved GraphQL subscriptions and real-time updates - Enhance security configurations and headers (CSP, CORS, etc.) - Update documentation and configuration files - Add new CI/CD workflows and validation scripts - Implement design system improvements and UI enhancements
This commit is contained in:
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docs/architecture/cloudflare-pop-mapping.md
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375
docs/architecture/cloudflare-pop-mapping.md
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# Cloudflare PoP to Physical Infrastructure Mapping Strategy
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## Overview
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This document outlines the strategy for mapping Cloudflare Points of Presence (PoPs) as regional gateways and tunneling traffic to physical hardware infrastructure across the global Phoenix network.
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## Architecture Principles
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1. **Cloudflare PoPs as Edge Gateways**: Use Cloudflare's 300+ global PoPs as the entry point for all user traffic
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2. **Zero Trust Tunneling**: All traffic from PoPs to physical infrastructure via Cloudflare Tunnels (cloudflared)
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3. **Regional Aggregation**: Map multiple PoPs to regional datacenters
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4. **Latency Optimization**: Route traffic to nearest physical infrastructure
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5. **High Availability**: Multiple PoP paths to physical infrastructure
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## Cloudflare PoP Mapping Strategy
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### Tier 1: Core Datacenter Mapping
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**Mapping Logic**:
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- Each Core Datacenter (10-15 locations) serves as a regional hub
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- Multiple Cloudflare PoPs in the region route to the nearest Core Datacenter
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- Primary and backup tunnel paths for redundancy
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**Example Mapping**:
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```
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Core Datacenter: US-East (Virginia)
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├── Cloudflare PoPs:
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│ ├── Washington, DC (primary)
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│ ├── New York, NY (primary)
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│ ├── Boston, MA (backup)
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│ └── Philadelphia, PA (backup)
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└── Tunnel Configuration:
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├── Primary: cloudflared tunnel to VA datacenter
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└── Backup: Failover to alternate path
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```
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### Tier 2: Regional Datacenter Mapping
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**Mapping Logic**:
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- Regional Datacenters (50-75 locations) aggregate PoP traffic
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- PoPs route to nearest Regional Datacenter
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- Load balancing across multiple regional paths
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**Example Mapping**:
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```
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Regional Datacenter: US-West (California)
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├── Cloudflare PoPs:
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│ ├── San Francisco, CA
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│ ├── Los Angeles, CA
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│ ├── San Jose, CA
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│ └── Seattle, WA
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└── Tunnel Configuration:
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├── Load balanced across multiple tunnels
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└── Health-check based routing
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```
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### Tier 3: Edge Site Mapping
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**Mapping Logic**:
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- Edge Sites (250+ locations) connect to nearest PoP
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- Direct PoP-to-Edge tunneling for low latency
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- Edge sites can serve as backup paths
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**Example Mapping**:
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```
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Edge Site: Denver, CO
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├── Cloudflare PoP: Denver, CO
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└── Tunnel Configuration:
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├── Direct tunnel to edge site
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└── Backup via regional datacenter
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```
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## Implementation Architecture
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### 1. PoP-to-Region Mapping Service
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```typescript
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interface PoPMapping {
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popId: string
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popLocation: {
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city: string
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country: string
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coordinates: { lat: number; lng: number }
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}
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primaryDatacenter: {
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id: string
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type: 'CORE' | 'REGIONAL' | 'EDGE'
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location: Location
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tunnelEndpoint: string
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}
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backupDatacenters: Array<{
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id: string
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priority: number
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tunnelEndpoint: string
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}>
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routingRules: {
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latencyThreshold: number // ms
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failoverThreshold: number // ms
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loadBalancing: 'ROUND_ROBIN' | 'LEAST_CONNECTIONS' | 'GEOGRAPHIC'
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}
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}
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```
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### 2. Tunnel Management Service
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```typescript
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interface TunnelConfiguration {
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tunnelId: string
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popId: string
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targetDatacenter: string
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tunnelType: 'PRIMARY' | 'BACKUP' | 'LOAD_BALANCED'
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healthCheck: {
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endpoint: string
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interval: number
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timeout: number
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failureThreshold: number
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}
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routing: {
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path: string
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service: string
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loadBalancing: LoadBalancingConfig
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}
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}
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```
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### 3. Geographic Routing Service
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**Distance Calculation**:
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- Calculate distance from PoP to all available datacenters
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- Select nearest datacenter within latency threshold
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- Consider network path, not just geographic distance
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**Latency-Based Routing**:
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- Measure actual latency from PoP to datacenter
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- Route to lowest latency path
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- Dynamic rerouting based on real-time latency
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## Cloudflare Tunnel Configuration
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### Tunnel Architecture
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```
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User Request
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↓
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Cloudflare PoP (Edge)
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↓
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Cloudflare Tunnel (cloudflared)
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↓
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Physical Infrastructure (Proxmox/K8s)
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↓
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Application
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```
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### Tunnel Setup Process
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1. **Tunnel Creation**:
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- Create Cloudflare Tunnel via API
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- Generate tunnel token
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- Deploy cloudflared agent on physical infrastructure
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2. **Route Configuration**:
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- Configure DNS records to point to tunnel
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- Set up ingress rules for routing
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- Configure load balancing
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3. **Health Monitoring**:
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- Monitor tunnel health
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- Automatic failover on tunnel failure
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- Alert on tunnel degradation
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### Multi-Tunnel Strategy
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**Primary Tunnel**:
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- Direct path from PoP to primary datacenter
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- Lowest latency path
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- Active traffic routing
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**Backup Tunnel**:
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- Alternative path via backup datacenter
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- Activated on primary failure
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- Pre-established for fast failover
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**Load Balanced Tunnels**:
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- Multiple tunnels for high availability
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- Load distribution across tunnels
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- Health-based routing
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## Regional Gateway Mapping
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### Region Definition
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```typescript
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interface Region {
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id: string
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name: string
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type: 'CORE' | 'REGIONAL' | 'EDGE'
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location: {
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city: string
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country: string
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coordinates: { lat: number; lng: number }
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}
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cloudflarePoPs: string[] // PoP IDs
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physicalInfrastructure: {
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datacenterId: string
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tunnelEndpoints: string[]
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capacity: {
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compute: number
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storage: number
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network: number
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}
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}
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routing: {
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primaryPath: string
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backupPaths: string[]
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loadBalancing: LoadBalancingConfig
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}
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}
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```
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### PoP-to-Region Assignment Algorithm
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1. **Geographic Proximity**:
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- Calculate distance from PoP to all regions
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- Assign to nearest region within threshold
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2. **Capacity Consideration**:
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- Check region capacity
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- Distribute PoPs to balance load
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- Avoid overloading single region
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3. **Network Topology**:
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- Consider network paths
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- Optimize for latency
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- Minimize hops
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4. **Failover Planning**:
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||||
- Ensure backup regions available
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- Geographic diversity for resilience
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- Multiple paths for redundancy
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## Implementation Components
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### 1. PoP Mapping Service
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**File**: `api/src/services/pop-mapping.ts`
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```typescript
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class PoPMappingService {
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async mapPoPToRegion(popId: string): Promise<Region>
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async getOptimalDatacenter(popId: string): Promise<Datacenter>
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async configureTunnel(popId: string, datacenterId: string): Promise<Tunnel>
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async updateRouting(popId: string, routing: RoutingConfig): Promise<void>
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}
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```
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### 2. Tunnel Orchestration Service
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**File**: `api/src/services/tunnel-orchestration.ts`
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```typescript
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class TunnelOrchestrationService {
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async createTunnel(config: TunnelConfiguration): Promise<Tunnel>
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async monitorTunnel(tunnelId: string): Promise<TunnelHealth>
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async failoverTunnel(tunnelId: string, backupTunnelId: string): Promise<void>
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async loadBalanceTunnels(tunnelIds: string[]): Promise<LoadBalancer>
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}
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```
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### 3. Geographic Routing Engine
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**File**: `api/src/services/geographic-routing.ts`
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```typescript
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class GeographicRoutingService {
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async findNearestDatacenter(popLocation: Location): Promise<Datacenter>
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async calculateLatency(popId: string, datacenterId: string): Promise<number>
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async optimizeRouting(popId: string): Promise<RoutingPath>
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}
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```
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## Database Schema
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### PoP Mappings Table
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||||
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```sql
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CREATE TABLE pop_mappings (
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id UUID PRIMARY KEY,
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pop_id VARCHAR(255) UNIQUE NOT NULL,
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pop_location JSONB NOT NULL,
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primary_datacenter_id UUID REFERENCES datacenters(id),
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region_id UUID REFERENCES regions(id),
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tunnel_configuration JSONB,
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routing_rules JSONB,
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created_at TIMESTAMP,
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updated_at TIMESTAMP
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);
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```
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### Tunnel Configurations Table
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```sql
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CREATE TABLE tunnel_configurations (
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id UUID PRIMARY KEY,
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tunnel_id VARCHAR(255) UNIQUE NOT NULL,
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pop_id VARCHAR(255) REFERENCES pop_mappings(pop_id),
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datacenter_id UUID REFERENCES datacenters(id),
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tunnel_type VARCHAR(50),
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health_status VARCHAR(50),
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configuration JSONB,
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created_at TIMESTAMP,
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updated_at TIMESTAMP
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);
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```
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||||
## Monitoring and Observability
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||||
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### Key Metrics
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||||
|
||||
1. **Tunnel Health**:
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||||
- Tunnel uptime
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||||
- Latency from PoP to datacenter
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||||
- Packet loss
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||||
- Throughput
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||||
|
||||
2. **Routing Performance**:
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||||
- Request routing time
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- Failover time
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||||
- Load distribution
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||||
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3. **Geographic Distribution**:
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||||
- PoP-to-datacenter mapping distribution
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- Regional load balancing
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||||
- Capacity utilization
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||||
|
||||
### Alerting
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||||
|
||||
- Tunnel failure alerts
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||||
- High latency alerts
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||||
- Capacity threshold alerts
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||||
- Routing anomaly alerts
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||||
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||||
## Security Considerations
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||||
|
||||
1. **Zero Trust Architecture**:
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- All traffic authenticated
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||||
- No public IPs on physical infrastructure
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||||
- Encrypted tunnel connections
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||||
|
||||
2. **Access Control**:
|
||||
- PoP-based access policies
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||||
- Geographic restrictions
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||||
- IP allowlisting
|
||||
|
||||
3. **Audit Logging**:
|
||||
- All tunnel connections logged
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||||
- Routing decisions logged
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||||
- Access attempts logged
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|
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## Deployment Strategy
|
||||
|
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### Phase 1: Core Datacenter Mapping (30 days)
|
||||
- Map top 50 Cloudflare PoPs to Core Datacenters
|
||||
- Deploy primary tunnels
|
||||
- Implement basic routing
|
||||
|
||||
### Phase 2: Regional Expansion (60 days)
|
||||
- Map remaining PoPs to Regional Datacenters
|
||||
- Deploy backup tunnels
|
||||
- Implement failover
|
||||
|
||||
### Phase 3: Edge Integration (90 days)
|
||||
- Integrate Edge Sites
|
||||
- Optimize routing algorithms
|
||||
- Full monitoring and alerting
|
||||
|
||||
@@ -1,8 +1,8 @@
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||||
# Phoenix Sankofa Cloud: Data Model & GraphQL Schema
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||||
# Sankofa Phoenix: Data Model & GraphQL Schema
|
||||
|
||||
## Overview
|
||||
|
||||
The data model for **Phoenix Sankofa Cloud** is designed as a **graph-oriented structure** that represents:
|
||||
The data model for **Sankofa Phoenix** is designed as a **graph-oriented structure** that represents:
|
||||
|
||||
* Infrastructure resources (regions, clusters, nodes, services)
|
||||
* Relationships between resources (networks, dependencies, policies)
|
||||
|
||||
@@ -66,13 +66,13 @@
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||||
<!-- Site 1 Nodes -->
|
||||
<rect x="130" y="710" width="120" height="100" class="network" rx="5"/>
|
||||
<text x="190" y="735" text-anchor="middle" class="text">Node 1</text>
|
||||
<text x="190" y="755" text-anchor="middle" class="text">pve1.example.com</text>
|
||||
<text x="190" y="755" text-anchor="middle" class="text">pve1.sankofa.nexus</text>
|
||||
<text x="190" y="775" text-anchor="middle" class="text">VMs: 20</text>
|
||||
<text x="190" y="795" text-anchor="middle" class="text">Storage: Ceph</text>
|
||||
|
||||
<rect x="280" y="710" width="120" height="100" class="network" rx="5"/>
|
||||
<text x="340" y="735" text-anchor="middle" class="text">Node 2</text>
|
||||
<text x="340" y="755" text-anchor="middle" class="text">pve2.example.com</text>
|
||||
<text x="340" y="755" text-anchor="middle" class="text">pve2.sankofa.nexus</text>
|
||||
<text x="340" y="775" text-anchor="middle" class="text">VMs: 18</text>
|
||||
<text x="340" y="795" text-anchor="middle" class="text">Storage: Ceph</text>
|
||||
|
||||
@@ -91,13 +91,13 @@
|
||||
<!-- Site 2 Nodes -->
|
||||
<rect x="580" y="710" width="120" height="100" class="network" rx="5"/>
|
||||
<text x="640" y="735" text-anchor="middle" class="text">Node 1</text>
|
||||
<text x="640" y="755" text-anchor="middle" class="text">pve3.example.com</text>
|
||||
<text x="640" y="755" text-anchor="middle" class="text">pve3.sankofa.nexus</text>
|
||||
<text x="640" y="775" text-anchor="middle" class="text">VMs: 15</text>
|
||||
<text x="640" y="795" text-anchor="middle" class="text">Storage: ZFS</text>
|
||||
|
||||
<rect x="730" y="710" width="120" height="100" class="network" rx="5"/>
|
||||
<text x="790" y="735" text-anchor="middle" class="text">Node 2</text>
|
||||
<text x="790" y="755" text-anchor="middle" class="text">pve4.example.com</text>
|
||||
<text x="790" y="755" text-anchor="middle" class="text">pve4.sankofa.nexus</text>
|
||||
<text x="790" y="775" text-anchor="middle" class="text">VMs: 12</text>
|
||||
<text x="790" y="795" text-anchor="middle" class="text">Storage: ZFS</text>
|
||||
|
||||
@@ -116,13 +116,13 @@
|
||||
<!-- Site 3 Nodes -->
|
||||
<rect x="1030" y="710" width="120" height="100" class="network" rx="5"/>
|
||||
<text x="1090" y="735" text-anchor="middle" class="text">Node 1</text>
|
||||
<text x="1090" y="755" text-anchor="middle" class="text">pve5.example.com</text>
|
||||
<text x="1090" y="755" text-anchor="middle" class="text">pve5.sankofa.nexus</text>
|
||||
<text x="1090" y="775" text-anchor="middle" class="text">VMs: 10</text>
|
||||
<text x="1090" y="795" text-anchor="middle" class="text">Storage: Local</text>
|
||||
|
||||
<rect x="1180" y="710" width="120" height="100" class="network" rx="5"/>
|
||||
<text x="1240" y="735" text-anchor="middle" class="text">Node 2</text>
|
||||
<text x="1240" y="755" text-anchor="middle" class="text">pve6.example.com</text>
|
||||
<text x="1240" y="755" text-anchor="middle" class="text">pve6.sankofa.nexus</text>
|
||||
<text x="1240" y="775" text-anchor="middle" class="text">VMs: 8</text>
|
||||
<text x="1240" y="795" text-anchor="middle" class="text">Storage: Local</text>
|
||||
|
||||
|
||||
|
Before Width: | Height: | Size: 8.6 KiB After Width: | Height: | Size: 8.7 KiB |
506
docs/architecture/sovereign-cloud-federation.md
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docs/architecture/sovereign-cloud-federation.md
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||||
# Sovereign Cloud Federation Methodology
|
||||
|
||||
## Overview
|
||||
|
||||
This document defines the methodology for creating Sovereign Clouds using multiple global regions with fully federated data stores, enabling data sovereignty while maintaining global scale and performance.
|
||||
|
||||
## Core Principles
|
||||
|
||||
1. **Data Sovereignty**: Data remains within designated sovereign boundaries
|
||||
2. **Federated Architecture**: Distributed data stores with federation protocols
|
||||
3. **Global Consistency**: Eventual consistency across regions
|
||||
4. **Regulatory Compliance**: Meet all local regulatory requirements
|
||||
5. **Performance Optimization**: Low-latency access to local data
|
||||
6. **Disaster Resilience**: Cross-region redundancy and failover
|
||||
|
||||
## Sovereign Cloud Architecture
|
||||
|
||||
### 1. Regional Sovereignty Zones
|
||||
|
||||
```typescript
|
||||
interface SovereigntyZone {
|
||||
id: string
|
||||
name: string
|
||||
country: string
|
||||
region: string
|
||||
regulatoryFrameworks: string[] // GDPR, CCPA, etc.
|
||||
dataResidency: {
|
||||
required: boolean
|
||||
allowedRegions: string[]
|
||||
prohibitedRegions: string[]
|
||||
}
|
||||
complianceRequirements: ComplianceRequirement[]
|
||||
datacenters: Datacenter[]
|
||||
federatedStores: FederatedStore[]
|
||||
}
|
||||
```
|
||||
|
||||
### 2. Federated Data Store Architecture
|
||||
|
||||
#### Store Types
|
||||
|
||||
**Primary Store (Sovereign Region)**:
|
||||
- Master copy of data for sovereign region
|
||||
- All writes go to primary first
|
||||
- Enforces data residency rules
|
||||
- Local regulatory compliance
|
||||
|
||||
**Replica Stores (Other Regions)**:
|
||||
- Read-only replicas for performance
|
||||
- Synchronized via federation protocol
|
||||
- Can be promoted to primary on failover
|
||||
- Filtered based on data residency rules
|
||||
|
||||
**Metadata Store (Global)**:
|
||||
- Global metadata and indexes
|
||||
- No sensitive data
|
||||
- Enables cross-region queries
|
||||
- Federation coordination
|
||||
|
||||
### 3. Federation Protocol
|
||||
|
||||
#### Write Path
|
||||
|
||||
```
|
||||
User Request (Region A)
|
||||
↓
|
||||
Primary Store (Region A) - Write
|
||||
↓
|
||||
Federation Coordinator
|
||||
↓
|
||||
Metadata Store (Global) - Update Index
|
||||
↓
|
||||
Replica Stores (Other Regions) - Async Replication
|
||||
↓
|
||||
Compliance Check (Data Residency)
|
||||
↓
|
||||
Selective Replication (Only to allowed regions)
|
||||
```
|
||||
|
||||
#### Read Path
|
||||
|
||||
```
|
||||
User Request (Region A)
|
||||
↓
|
||||
Check Metadata Store (Global) - Find Data Location
|
||||
↓
|
||||
Route to Primary Store (Region A) - Read
|
||||
↓
|
||||
If not in Region A:
|
||||
↓
|
||||
Check Replica Store (Region A) - Read
|
||||
↓
|
||||
If not available:
|
||||
↓
|
||||
Cross-Region Query (With Compliance Check)
|
||||
```
|
||||
|
||||
## Data Residency and Sovereignty Rules
|
||||
|
||||
### Rule Engine
|
||||
|
||||
```typescript
|
||||
interface DataResidencyRule {
|
||||
id: string
|
||||
dataType: string
|
||||
sourceRegion: string
|
||||
allowedRegions: string[]
|
||||
prohibitedRegions: string[]
|
||||
encryptionRequired: boolean
|
||||
retentionPolicy: RetentionPolicy
|
||||
accessControl: AccessControlPolicy
|
||||
}
|
||||
```
|
||||
|
||||
### Rule Evaluation
|
||||
|
||||
1. **Data Classification**: Classify data by sensitivity and type
|
||||
2. **Regulatory Mapping**: Map to applicable regulations
|
||||
3. **Residency Determination**: Determine required residency
|
||||
4. **Replication Decision**: Allow/deny replication based on rules
|
||||
5. **Encryption Enforcement**: Encrypt data in transit and at rest
|
||||
|
||||
## Federated Store Implementation
|
||||
|
||||
### 1. PostgreSQL Federation
|
||||
|
||||
**Citus Extension**:
|
||||
- Distributed PostgreSQL with Citus
|
||||
- Sharding across regions
|
||||
- Cross-shard queries
|
||||
- Automatic failover
|
||||
|
||||
**PostgreSQL Foreign Data Wrappers**:
|
||||
- Connect to remote PostgreSQL instances
|
||||
- Query across regions
|
||||
- Transparent federation
|
||||
|
||||
**Implementation**:
|
||||
```sql
|
||||
-- Create foreign server
|
||||
CREATE SERVER foreign_region_a
|
||||
FOREIGN DATA WRAPPER postgres_fdw
|
||||
OPTIONS (host 'region-a.phoenix.io', port '5432', dbname 'phoenix');
|
||||
|
||||
-- Create foreign table
|
||||
CREATE FOREIGN TABLE users_region_a (
|
||||
id UUID,
|
||||
name VARCHAR(255),
|
||||
region VARCHAR(50)
|
||||
) SERVER foreign_region_a;
|
||||
|
||||
-- Federated query
|
||||
SELECT * FROM users_region_a
|
||||
UNION ALL
|
||||
SELECT * FROM users_region_b;
|
||||
```
|
||||
|
||||
### 2. MongoDB Federation
|
||||
|
||||
**MongoDB Sharded Clusters**:
|
||||
- Shard by region
|
||||
- Zone-based sharding
|
||||
- Cross-zone queries
|
||||
- Automatic balancing
|
||||
|
||||
**MongoDB Change Streams**:
|
||||
- Real-time replication
|
||||
- Event-driven synchronization
|
||||
- Conflict resolution
|
||||
|
||||
### 3. Redis Federation
|
||||
|
||||
**Redis Cluster**:
|
||||
- Multi-region Redis clusters
|
||||
- Cross-cluster replication
|
||||
- Geographic distribution
|
||||
|
||||
**Redis Sentinel**:
|
||||
- High availability
|
||||
- Automatic failover
|
||||
- Cross-region monitoring
|
||||
|
||||
### 4. Object Store Federation
|
||||
|
||||
**S3-Compatible Federation**:
|
||||
- Regional object stores (MinIO/Ceph)
|
||||
- Cross-region replication
|
||||
- Versioning and lifecycle
|
||||
- Access control
|
||||
|
||||
## Federation Coordinator Service
|
||||
|
||||
### Responsibilities
|
||||
|
||||
1. **Replication Orchestration**:
|
||||
- Coordinate data replication
|
||||
- Manage replication topology
|
||||
- Handle replication conflicts
|
||||
|
||||
2. **Compliance Enforcement**:
|
||||
- Enforce data residency rules
|
||||
- Validate regulatory compliance
|
||||
- Audit data movements
|
||||
|
||||
3. **Query Routing**:
|
||||
- Route queries to appropriate stores
|
||||
- Aggregate results from multiple regions
|
||||
- Optimize query performance
|
||||
|
||||
4. **Conflict Resolution**:
|
||||
- Detect conflicts
|
||||
- Resolve using strategies (last-write-wins, CRDTs)
|
||||
- Maintain consistency
|
||||
|
||||
### Implementation
|
||||
|
||||
**File**: `api/src/services/federation-coordinator.ts`
|
||||
|
||||
```typescript
|
||||
class FederationCoordinator {
|
||||
async replicateData(
|
||||
sourceRegion: string,
|
||||
targetRegion: string,
|
||||
data: any,
|
||||
rules: DataResidencyRule[]
|
||||
): Promise<ReplicationResult>
|
||||
|
||||
async routeQuery(
|
||||
query: Query,
|
||||
userRegion: string
|
||||
): Promise<QueryResult>
|
||||
|
||||
async resolveConflict(
|
||||
conflict: Conflict
|
||||
): Promise<Resolution>
|
||||
|
||||
async enforceCompliance(
|
||||
data: any,
|
||||
operation: 'READ' | 'WRITE' | 'REPLICATE'
|
||||
): Promise<ComplianceResult>
|
||||
}
|
||||
```
|
||||
|
||||
## Multi-Region Data Synchronization
|
||||
|
||||
### Synchronization Strategies
|
||||
|
||||
**1. Eventual Consistency**:
|
||||
- Async replication
|
||||
- Accept temporary inconsistencies
|
||||
- Conflict resolution on read
|
||||
|
||||
**2. Strong Consistency (Selected Data)**:
|
||||
- Synchronous replication for critical data
|
||||
- Higher latency
|
||||
- Guaranteed consistency
|
||||
|
||||
**3. CRDTs (Conflict-Free Replicated Data Types)**:
|
||||
- Automatic conflict resolution
|
||||
- No coordination required
|
||||
- Eventual consistency guaranteed
|
||||
|
||||
### Synchronization Protocol
|
||||
|
||||
```
|
||||
Write Operation
|
||||
↓
|
||||
Primary Store (Write + Log)
|
||||
↓
|
||||
Event Stream (Kafka/NATS)
|
||||
↓
|
||||
Federation Coordinator
|
||||
↓
|
||||
Compliance Check
|
||||
↓
|
||||
Replication Queue (Per Region)
|
||||
↓
|
||||
Replica Stores (Apply Changes)
|
||||
↓
|
||||
Acknowledgment
|
||||
```
|
||||
|
||||
## Compliance and Governance
|
||||
|
||||
### Regulatory Compliance
|
||||
|
||||
**GDPR (EU)**:
|
||||
- Data must remain in EU
|
||||
- Right to erasure
|
||||
- Data portability
|
||||
- Privacy by design
|
||||
|
||||
**CCPA (California)**:
|
||||
- California data residency
|
||||
- Consumer rights
|
||||
- Data deletion
|
||||
|
||||
**HIPAA (Healthcare)**:
|
||||
- Healthcare data protection
|
||||
- Audit trails
|
||||
- Access controls
|
||||
|
||||
**SOX (Financial)**:
|
||||
- Financial data integrity
|
||||
- Audit requirements
|
||||
- Retention policies
|
||||
|
||||
### Compliance Enforcement
|
||||
|
||||
```typescript
|
||||
class ComplianceEnforcer {
|
||||
async checkDataResidency(
|
||||
data: any,
|
||||
targetRegion: string
|
||||
): Promise<boolean>
|
||||
|
||||
async validateRegulatoryCompliance(
|
||||
data: any,
|
||||
operation: string,
|
||||
region: string
|
||||
): Promise<ComplianceResult>
|
||||
|
||||
async enforceRetentionPolicy(
|
||||
data: any,
|
||||
region: string
|
||||
): Promise<void>
|
||||
|
||||
async auditDataAccess(
|
||||
data: any,
|
||||
user: User,
|
||||
operation: string
|
||||
): Promise<AuditLog>
|
||||
}
|
||||
```
|
||||
|
||||
## Disaster Recovery and Failover
|
||||
|
||||
### Failover Strategy
|
||||
|
||||
**1. Regional Failover**:
|
||||
- Promote replica to primary
|
||||
- Update routing
|
||||
- Resume operations
|
||||
|
||||
**2. Cross-Region Failover**:
|
||||
- Failover to backup region
|
||||
- Data synchronization
|
||||
- Service restoration
|
||||
|
||||
**3. Gradual Recovery**:
|
||||
- Incremental data sync
|
||||
- Service restoration
|
||||
- Validation
|
||||
|
||||
### Recovery Procedures
|
||||
|
||||
```typescript
|
||||
class DisasterRecoveryService {
|
||||
async initiateFailover(
|
||||
failedRegion: string,
|
||||
targetRegion: string
|
||||
): Promise<FailoverResult>
|
||||
|
||||
async promoteReplica(
|
||||
replicaRegion: string
|
||||
): Promise<void>
|
||||
|
||||
async synchronizeData(
|
||||
sourceRegion: string,
|
||||
targetRegion: string
|
||||
): Promise<SyncResult>
|
||||
|
||||
async validateRecovery(
|
||||
region: string
|
||||
): Promise<ValidationResult>
|
||||
}
|
||||
```
|
||||
|
||||
## Performance Optimization
|
||||
|
||||
### 1. Local-First Architecture
|
||||
|
||||
- Read from local replica when possible
|
||||
- Write to local primary
|
||||
- Minimize cross-region queries
|
||||
|
||||
### 2. Caching Strategy
|
||||
|
||||
- Regional caches (Redis)
|
||||
- Cache invalidation across regions
|
||||
- Cache warming for critical data
|
||||
|
||||
### 3. Query Optimization
|
||||
|
||||
- Route queries to nearest store
|
||||
- Parallel queries to multiple regions
|
||||
- Result aggregation and deduplication
|
||||
|
||||
### 4. Data Partitioning
|
||||
|
||||
- Partition by region
|
||||
- Co-locate related data
|
||||
- Minimize cross-partition queries
|
||||
|
||||
## Implementation Roadmap
|
||||
|
||||
### Phase 1: Foundation (90 days)
|
||||
1. Define sovereignty zones
|
||||
2. Implement basic federation protocol
|
||||
3. Deploy primary stores in each region
|
||||
4. Basic replication
|
||||
|
||||
### Phase 2: Advanced Federation (120 days)
|
||||
1. Implement federation coordinator
|
||||
2. Advanced replication strategies
|
||||
3. Compliance enforcement
|
||||
4. Query routing optimization
|
||||
|
||||
### Phase 3: Disaster Recovery (90 days)
|
||||
1. Failover automation
|
||||
2. Cross-region synchronization
|
||||
3. Recovery procedures
|
||||
4. Testing and validation
|
||||
|
||||
### Phase 4: Optimization (60 days)
|
||||
1. Performance tuning
|
||||
2. Caching optimization
|
||||
3. Query optimization
|
||||
4. Monitoring and alerting
|
||||
|
||||
## Database Schema
|
||||
|
||||
### Federation Metadata
|
||||
|
||||
```sql
|
||||
CREATE TABLE sovereignty_zones (
|
||||
id UUID PRIMARY KEY,
|
||||
name VARCHAR(255) NOT NULL,
|
||||
country VARCHAR(100) NOT NULL,
|
||||
region VARCHAR(100) NOT NULL,
|
||||
regulatory_frameworks TEXT[],
|
||||
data_residency_rules JSONB,
|
||||
created_at TIMESTAMP,
|
||||
updated_at TIMESTAMP
|
||||
);
|
||||
|
||||
CREATE TABLE federated_stores (
|
||||
id UUID PRIMARY KEY,
|
||||
zone_id UUID REFERENCES sovereignty_zones(id),
|
||||
store_type VARCHAR(50), -- POSTGRES, MONGODB, REDIS, OBJECT_STORE
|
||||
connection_string TEXT,
|
||||
role VARCHAR(50), -- PRIMARY, REPLICA, METADATA
|
||||
replication_config JSONB,
|
||||
created_at TIMESTAMP,
|
||||
updated_at TIMESTAMP
|
||||
);
|
||||
|
||||
CREATE TABLE data_residency_rules (
|
||||
id UUID PRIMARY KEY,
|
||||
data_type VARCHAR(100),
|
||||
source_zone_id UUID REFERENCES sovereignty_zones(id),
|
||||
allowed_zones UUID[],
|
||||
prohibited_zones UUID[],
|
||||
encryption_required BOOLEAN,
|
||||
retention_policy JSONB,
|
||||
created_at TIMESTAMP,
|
||||
updated_at TIMESTAMP
|
||||
);
|
||||
|
||||
CREATE TABLE replication_logs (
|
||||
id UUID PRIMARY KEY,
|
||||
source_store_id UUID REFERENCES federated_stores(id),
|
||||
target_store_id UUID REFERENCES federated_stores(id),
|
||||
data_id UUID,
|
||||
operation VARCHAR(50), -- INSERT, UPDATE, DELETE
|
||||
status VARCHAR(50), -- PENDING, COMPLETED, FAILED
|
||||
compliance_check JSONB,
|
||||
created_at TIMESTAMP,
|
||||
completed_at TIMESTAMP
|
||||
);
|
||||
```
|
||||
|
||||
## Monitoring and Observability
|
||||
|
||||
### Key Metrics
|
||||
|
||||
1. **Replication Metrics**:
|
||||
- Replication lag
|
||||
- Replication throughput
|
||||
- Replication failures
|
||||
|
||||
2. **Compliance Metrics**:
|
||||
- Compliance violations
|
||||
- Data residency violations
|
||||
- Audit log completeness
|
||||
|
||||
3. **Performance Metrics**:
|
||||
- Query latency
|
||||
- Cross-region query performance
|
||||
- Cache hit rates
|
||||
|
||||
4. **Availability Metrics**:
|
||||
- Store availability
|
||||
- Failover times
|
||||
- Recovery times
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
# Phoenix Sankofa Cloud: Technology Stack
|
||||
# Sankofa Phoenix: Technology Stack
|
||||
|
||||
## Overview
|
||||
|
||||
**Phoenix Sankofa Cloud** is built on a modern, scalable technology stack designed for:
|
||||
**Sankofa Phoenix** is built on a modern, scalable technology stack designed for:
|
||||
|
||||
* **Dashboards** → fast, reactive, drill-down, cross-filtering
|
||||
* **Drag-n-drop & node graph editing** → workflows, network topologies, app maps
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
# Phoenix Sankofa Cloud: Well-Architected Framework Visualization
|
||||
# Sankofa Phoenix: Well-Architected Framework Visualization
|
||||
|
||||
## Overview
|
||||
|
||||
**Phoenix Sankofa Cloud** implements a comprehensive Well-Architected Framework (WAF) visualization system that provides:
|
||||
**Sankofa Phoenix** implements a comprehensive Well-Architected Framework (WAF) visualization system that provides:
|
||||
|
||||
* **Studio-quality visuals** with cinematic aesthetics
|
||||
* **Multi-layered views** of the same architecture
|
||||
|
||||
Reference in New Issue
Block a user