379 lines
No EOL
8.7 KiB
Markdown
379 lines
No EOL
8.7 KiB
Markdown
---
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id: "plugin-gateway-adr"
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title: "ADR-001: Plugin Gateway Architecture"
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sidebar_label: "ADR-001: Plugin Gateway Architecture"
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---
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> NOTE: Cette page reflète l'ÉTAT ACTUEL.
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# ADR-001: Plugin Gateway Architecture
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## Status
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Proposed
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## Context
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Veza doit supporter un grand nombre de features innovantes tout en maintenant performance, coût et simplicité d'opération. L'architecture actuelle monolithique ne permet pas l'ajout de nouvelles fonctionnalités sans impact sur l'ensemble du système.
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## Decision
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Implémenter une architecture de **Plugin Gateway** avec découverte dynamique et isolation complète des modules.
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## Architecture
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### Plugin Gateway Core
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```mermaid
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graph TB
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subgraph "Plugin Gateway"
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PG[Plugin Gateway]
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DR[Discovery Registry]
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PL[Plugin Loader]
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SM[Service Mesh]
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end
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subgraph "Core Services"
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API[API Gateway]
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AUTH[Auth Service]
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DB[(Database)]
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CACHE[(Redis)]
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end
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subgraph "Plugins"
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P1[AI Recommendations]
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P2[Live Collaboration]
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P3[NFT Marketplace]
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P4[Gamification]
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P5[Advanced Analytics]
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end
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API --> PG
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PG --> DR
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PG --> PL
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PG --> SM
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PL --> P1
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PL --> P2
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PL --> P3
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PL --> P4
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PL --> P5
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P1 --> DB
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P2 --> DB
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P3 --> DB
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P4 --> DB
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P5 --> DB
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```
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### Composants
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#### 1. Plugin Gateway
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```go
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type PluginGateway struct {
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registry *DiscoveryRegistry
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loader *PluginLoader
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serviceMesh *ServiceMesh
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config *GatewayConfig
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}
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type GatewayConfig struct {
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MaxPlugins int `json:"max_plugins"`
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PluginTimeout time.Duration `json:"plugin_timeout"`
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CircuitBreaker CircuitBreakerConfig
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RateLimiting RateLimitConfig
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FeatureFlags FeatureFlagConfig
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}
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```
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#### 2. Discovery Registry
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```go
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type DiscoveryRegistry struct {
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plugins map[string]*PluginInfo
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mutex sync.RWMutex
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}
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type PluginInfo struct {
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ID string `json:"id"`
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Name string `json:"name"`
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Version string `json:"version"`
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Status PluginStatus `json:"status"`
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Endpoints []PluginEndpoint `json:"endpoints"`
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Metadata map[string]string `json:"metadata"`
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HealthCheck HealthCheck `json:"health_check"`
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}
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type PluginStatus string
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const (
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PluginStatusActive PluginStatus = "active"
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PluginStatusInactive PluginStatus = "inactive"
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PluginStatusFailed PluginStatus = "failed"
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PluginStatusLoading PluginStatus = "loading"
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)
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```
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#### 3. Plugin Loader
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```go
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type PluginLoader struct {
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sandbox *SandboxManager
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wasmEngine *WasmEngine
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docker *DockerManager
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}
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type SandboxManager struct {
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resources ResourceLimits
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network NetworkIsolation
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security SecurityContext
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}
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type ResourceLimits struct {
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CPU float64 `json:"cpu_cores"`
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Memory int64 `json:"memory_mb"`
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Disk int64 `json:"disk_mb"`
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Network int64 `json:"network_mbps"`
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}
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```
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#### 4. Service Mesh
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```go
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type ServiceMesh struct {
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circuitBreaker *CircuitBreaker
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rateLimiter *RateLimiter
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loadBalancer *LoadBalancer
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observability *Observability
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}
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type CircuitBreaker struct {
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FailureThreshold int `json:"failure_threshold"`
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Timeout time.Duration `json:"timeout"`
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HalfOpenLimit int `json:"half_open_limit"`
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}
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```
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## Plugin Contract
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### Interface Standard
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```go
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type Plugin interface {
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// Lifecycle
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Initialize(config PluginConfig) error
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Start() error
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Stop() error
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HealthCheck() HealthStatus
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// Communication
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HandleRequest(req PluginRequest) (*PluginResponse, error)
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HandleEvent(event DomainEvent) error
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// Metadata
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GetInfo() PluginInfo
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GetMetrics() PluginMetrics
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}
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type PluginRequest struct {
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ID string `json:"id"`
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Method string `json:"method"`
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Path string `json:"path"`
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Headers map[string]string `json:"headers"`
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Body interface{} `json:"body"`
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UserID int64 `json:"user_id"`
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Context map[string]interface{} `json:"context"`
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}
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type PluginResponse struct {
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StatusCode int `json:"status_code"`
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Headers map[string]string `json:"headers"`
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Body interface{} `json:"body"`
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Metadata map[string]interface{} `json:"metadata"`
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}
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```
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### Plugin Manifest
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```yaml
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# plugin.yaml
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name: ai-recommendations
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version: 1.0.0
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description: AI-powered music recommendations
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author: Veza Team
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license: MIT
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runtime:
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type: wasm
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version: 1.0
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resources:
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cpu: 0.5
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memory: 512
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disk: 100
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endpoints:
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- path: /recommendations
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method: GET
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auth: required
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rate_limit: 100/min
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- path: /recommendations/users/{user_id}/activity
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method: POST
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auth: required
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rate_limit: 50/min
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dependencies:
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- service: user-profile
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version: ">=1.0.0"
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- service: track-analytics
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version: ">=1.0.0"
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feature_flags:
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- name: enable_ml_model
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default: false
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description: Enable advanced ML model
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health_check:
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endpoint: /health
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interval: 30s
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timeout: 5s
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```
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## Implementation Strategy
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### Phase 1: Core Gateway (2-3 weeks)
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1. **Plugin Gateway Core**
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- Discovery registry avec Consul/etcd
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- Plugin loader avec sandboxing
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- Service mesh basique
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- Circuit breaker et rate limiting
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2. **Plugin SDK**
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- Interface standardisée
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- SDK Go/Rust pour plugins
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- Documentation et exemples
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### Phase 2: Plugin Migration (3-4 weeks)
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1. **Migration des services existants**
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- AI Recommendations → Plugin
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- Advanced Analytics → Plugin
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- Gamification → Plugin
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2. **Tests et validation**
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- Tests d'intégration
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- Performance benchmarks
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- Chaos engineering
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### Phase 3: Advanced Features (4-6 weeks)
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1. **Hot-swap des plugins**
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- Mise à jour sans downtime
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- Rollback automatique
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- Versioning des plugins
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2. **Monitoring avancé**
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- Métriques par plugin
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- Alertes automatiques
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- Dashboard de gestion
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## Quality Gates
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### Performance
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- **Latency** : < 50ms overhead par plugin
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- **Throughput** : Support 1000+ plugins simultanés
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- **Resource usage** : < 10% CPU overhead
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### Security
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- **Isolation** : Sandbox complet par plugin
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- **Network** : Isolation réseau par défaut
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- **Access control** : RBAC par plugin
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### Reliability
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- **Availability** : 99.95% uptime
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- **Circuit breaker** : Fail-fast sur erreurs
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- **Health checks** : Monitoring continu
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## Monitoring & Observability
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### Métriques Clés
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```go
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type PluginMetrics struct {
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RequestCount int64 `json:"request_count"`
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ErrorCount int64 `json:"error_count"`
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ResponseTime float64 `json:"response_time_ms"`
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CPUUsage float64 `json:"cpu_usage_percent"`
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MemoryUsage float64 `json:"memory_usage_mb"`
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ActiveConnections int64 `json:"active_connections"`
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}
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```
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### Logs Structurés
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```json
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{
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"level": "info",
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"plugin_id": "ai-recommendations",
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"version": "1.0.0",
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"request_id": "req-123",
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"method": "GET",
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"path": "/recommendations",
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"user_id": 456,
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"response_time_ms": 45,
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"status_code": 200
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}
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```
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## Migration Plan
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### Step 1: Infrastructure Setup
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```bash
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# Déployer Plugin Gateway
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kubectl apply -f k8s/plugin-gateway/
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# Configurer Consul pour discovery
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helm install consul hashicorp/consul
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# Déployer monitoring
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kubectl apply -f k8s/monitoring/
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```
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### Step 2: Plugin Development
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```bash
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# Créer nouveau plugin
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veza plugin create ai-recommendations
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# Développer plugin
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cd plugins/ai-recommendations
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go mod init github.com/veza/plugins/ai-recommendations
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```
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### Step 3: Testing & Deployment
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```bash
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# Tests locaux
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veza plugin test ai-recommendations
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# Déploiement en staging
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veza plugin deploy ai-recommendations --env staging
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# Déploiement en production
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veza plugin deploy ai-recommendations --env production
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```
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## Risks & Mitigation
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### Risks
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1. **Complexité** : Architecture plus complexe
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2. **Performance** : Overhead de communication
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3. **Debugging** : Plus difficile à débugger
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4. **Security** : Surface d'attaque élargie
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### Mitigation
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1. **Documentation complète** et exemples
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2. **Benchmarks** et optimisations continues
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3. **Observabilité** avancée et debugging tools
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4. **Security scanning** et audits réguliers
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## Success Metrics
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### Technical Metrics
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- **Plugin load time** : < 5s
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- **Request overhead** : < 50ms
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- **Memory usage** : < 100MB par plugin
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- **Error rate** : < 0.1%
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### Business Metrics
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- **Feature velocity** : +300% (nouveaux features)
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- **Deployment frequency** : +500% (déploiements)
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- **Incident reduction** : -50% (incidents)
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- **Cost optimization** : -30% (coûts infra)
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---
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*ADR créé par le Chief Product-Platform Engineer*
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*Date : 2024-01-15* |