Enterprise Deployment
Deploy webMCP at enterprise scale with high availability, security, compliance, and performance. Production-ready architecture for mission-critical applications.
Enterprise Architecture
Scalable, secure, and highly available architecture components
Load Balancer
Distribute optimization requests across multiple instances
- Auto-scaling based on demand
- Health check monitoring
- Failover capabilities
- Request routing optimization
webMCP Cluster
High-availability optimization processing cluster
- Horizontal scaling
- Container orchestration
- Resource management
- Performance monitoring
Cache Layer
Distributed caching for optimization results
- Redis cluster setup
- Cache invalidation strategies
- Performance optimization
- Memory management
API Gateway
Centralized API management and security
- Authentication & authorization
- Rate limiting
- Request validation
- API versioning
Enterprise Security
Comprehensive security framework for enterprise environments
Identity & Access Management
Enterprise-grade authentication and authorization
- SSO integration (SAML, OIDC)
- Role-based access control
- Multi-factor authentication
- Audit logging
Data Protection
Comprehensive data security and privacy
- End-to-end encryption
- Data residency compliance
- PII detection and masking
- Secure data deletion
Network Security
Advanced network protection and monitoring
- VPC/VPN integration
- Network segmentation
- DDoS protection
- Traffic analysis
Compliance & Governance
Meet regulatory and compliance requirements
- SOC 2 Type II compliance
- GDPR compliance tools
- HIPAA compatibility
- Regular security audits
Deployment Timeline
Structured approach to enterprise webMCP deployment
Planning & Preparation
1-2 weeks- Infrastructure requirements assessment
- Security and compliance review
- Architecture design and approval
- Resource allocation and procurement
Environment Setup
1 week- Kubernetes cluster provisioning
- Network and security configuration
- Database and cache setup
- Monitoring infrastructure deployment
Application Deployment
3-5 days- webMCP service deployment
- Configuration and secrets management
- Load balancer and ingress setup
- SSL certificate configuration
Testing & Validation
1 week- Functional testing and validation
- Performance and load testing
- Security scanning and penetration testing
- Disaster recovery testing
Go-Live & Optimization
1-2 days- Production traffic migration
- Performance monitoring and tuning
- User training and documentation
- Post-deployment support
Production Configuration
Complete configuration examples for enterprise deployments
Kubernetes Deployment
Production-ready Kubernetes configuration for webMCP
YAML# webmcp-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: webmcp-processor
namespace: webmcp
labels:
app: webmcp-processor
version: v1.0.0
spec:
replicas: 5
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 2
maxUnavailable: 1
selector:
matchLabels:
app: webmcp-processor
template:
metadata:
labels:
app: webmcp-processor
spec:
containers:
- name: webmcp-processor
image: webmcp/processor:1.0.0
ports:
- containerPort: 8080
name: http
- containerPort: 9090
name: metrics
env:
- name: NODE_ENV
value: "production"
- name: REDIS_URL
valueFrom:
secretKeyRef:
name: webmcp-secrets
key: redis-url
- name: API_KEYS
valueFrom:
secretKeyRef:
name: webmcp-secrets
key: api-keys
resources:
requests:
memory: "1Gi"
cpu: "500m"
limits:
memory: "2Gi"
cpu: "1000m"
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
volumeMounts:
- name: config
mountPath: /app/config
readOnly: true
volumes:
- name: config
configMap:
name: webmcp-config
---
apiVersion: v1
kind: Service
metadata:
name: webmcp-processor-service
namespace: webmcp
spec:
selector:
app: webmcp-processor
ports:
- name: http
port: 80
targetPort: 8080
- name: metrics
port: 9090
targetPort: 9090
type: ClusterIP
---
apiVersion: v1
kind: ConfigMap
metadata:
name: webmcp-config
namespace: webmcp
data:
config.json: |
{
"optimization": {
"defaultLevel": "moderate",
"enableCaching": true,
"cacheExpiration": 3600,
"parallelProcessing": true,
"maxConcurrentJobs": 10
},
"monitoring": {
"enabled": true,
"metricsPort": 9090,
"logLevel": "info",
"tracingEnabled": true
},
"security": {
"enableAuth": true,
"jwtSecret": "${JWT_SECRET}",
"apiRateLimit": {
"windowMs": 900000,
"max": 1000
}
}
}
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: webmcp-ingress
namespace: webmcp
annotations:
kubernetes.io/ingress.class: "nginx"
cert-manager.io/cluster-issuer: "letsencrypt-prod"
nginx.ingress.kubernetes.io/rate-limit: "100"
nginx.ingress.kubernetes.io/ssl-redirect: "true"
spec:
tls:
- hosts:
- api.webmcp.company.com
secretName: webmcp-tls
rules:
- host: api.webmcp.company.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: webmcp-processor-service
port:
number: 80
---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: webmcp-hpa
namespace: webmcp
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: webmcp-processor
minReplicas: 3
maxReplicas: 20
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80Docker Compose Setup
Complete multi-service Docker Compose configuration
YAML# docker-compose.prod.yml
version: '3.8'
services:
# Load Balancer
nginx:
image: nginx:alpine
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- ./nginx/ssl:/etc/nginx/ssl:ro
depends_on:
- webmcp-api-1
- webmcp-api-2
- webmcp-api-3
restart: unless-stopped
networks:
- webmcp-network
# webMCP API Services
webmcp-api-1:
image: webmcp/api:latest
environment:
- NODE_ENV=production
- REDIS_URL=redis://redis:6379
- DATABASE_URL=postgresql://user:pass@postgres:5432/webmcp
- API_KEYS_SECRET=${API_KEYS_SECRET}
- JWT_SECRET=${JWT_SECRET}
volumes:
- ./config:/app/config:ro
depends_on:
- redis
- postgres
restart: unless-stopped
networks:
- webmcp-network
deploy:
resources:
limits:
memory: 2G
cpus: '1.0'
reservations:
memory: 1G
cpus: '0.5'
webmcp-api-2:
image: webmcp/api:latest
environment:
- NODE_ENV=production
- REDIS_URL=redis://redis:6379
- DATABASE_URL=postgresql://user:pass@postgres:5432/webmcp
- API_KEYS_SECRET=${API_KEYS_SECRET}
- JWT_SECRET=${JWT_SECRET}
volumes:
- ./config:/app/config:ro
depends_on:
- redis
- postgres
restart: unless-stopped
networks:
- webmcp-network
deploy:
resources:
limits:
memory: 2G
cpus: '1.0'
reservations:
memory: 1G
cpus: '0.5'
webmcp-api-3:
image: webmcp/api:latest
environment:
- NODE_ENV=production
- REDIS_URL=redis://redis:6379
- DATABASE_URL=postgresql://user:pass@postgres:5432/webmcp
- API_KEYS_SECRET=${API_KEYS_SECRET}
- JWT_SECRET=${JWT_SECRET}
volumes:
- ./config:/app/config:ro
depends_on:
- redis
- postgres
restart: unless-stopped
networks:
- webmcp-network
deploy:
resources:
limits:
memory: 2G
cpus: '1.0'
reservations:
memory: 1G
cpus: '0.5'
# Background Workers
webmcp-worker-1:
image: webmcp/worker:latest
environment:
- NODE_ENV=production
- REDIS_URL=redis://redis:6379
- DATABASE_URL=postgresql://user:pass@postgres:5432/webmcp
- WORKER_CONCURRENCY=5
depends_on:
- redis
- postgres
restart: unless-stopped
networks:
- webmcp-network
webmcp-worker-2:
image: webmcp/worker:latest
environment:
- NODE_ENV=production
- REDIS_URL=redis://redis:6379
- DATABASE_URL=postgresql://user:pass@postgres:5432/webmcp
- WORKER_CONCURRENCY=5
depends_on:
- redis
- postgres
restart: unless-stopped
networks:
- webmcp-network
# Redis Cache
redis:
image: redis:7-alpine
command: redis-server --appendonly yes --replica-read-only no
volumes:
- redis-data:/data
restart: unless-stopped
networks:
- webmcp-network
deploy:
resources:
limits:
memory: 1G
cpus: '0.5'
# PostgreSQL Database
postgres:
image: postgres:15-alpine
environment:
- POSTGRES_DB=webmcp
- POSTGRES_USER=webmcp_user
- POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
volumes:
- postgres-data:/var/lib/postgresql/data
- ./init.sql:/docker-entrypoint-initdb.d/init.sql
restart: unless-stopped
networks:
- webmcp-network
deploy:
resources:
limits:
memory: 2G
cpus: '1.0'
# Monitoring
prometheus:
image: prom/prometheus:latest
ports:
- "9090:9090"
volumes:
- ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml:ro
- prometheus-data:/prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/etc/prometheus/console_libraries'
- '--web.console.templates=/etc/prometheus/consoles'
restart: unless-stopped
networks:
- webmcp-network
grafana:
image: grafana/grafana:latest
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD}
volumes:
- grafana-data:/var/lib/grafana
- ./monitoring/grafana/dashboards:/etc/grafana/provisioning/dashboards:ro
- ./monitoring/grafana/datasources:/etc/grafana/provisioning/datasources:ro
restart: unless-stopped
networks:
- webmcp-network
volumes:
redis-data:
postgres-data:
prometheus-data:
grafana-data:
networks:
webmcp-network:
driver: bridgeEnterprise Configuration
Advanced configuration for enterprise deployments
JavaScript// enterprise-config.js
const EnterpriseWebMCPConfig = {
// Multi-tenant configuration
tenancy: {
enabled: true,
isolation: 'strict', // 'strict' | 'shared' | 'hybrid'
defaultTenant: 'default',
// Tenant-specific settings
tenants: {
'enterprise-client-1': {
optimizationLevel: 'aggressive',
allowedModels: ['gpt-4o', 'claude-3.5-sonnet'],
rateLimit: {
requests: 10000,
windowMs: 3600000 // 1 hour
},
dataRetention: 90, // days
complianceMode: 'hipaa'
},
'enterprise-client-2': {
optimizationLevel: 'moderate',
allowedModels: ['gpt-4', 'gemini-pro'],
rateLimit: {
requests: 5000,
windowMs: 3600000
},
dataRetention: 30,
complianceMode: 'gdpr'
}
}
},
// High availability configuration
highAvailability: {
enabled: true,
replicationFactor: 3,
// Failover settings
failover: {
enabled: true,
healthCheckInterval: 30000, // 30 seconds
failureThreshold: 3,
recoveryThreshold: 2
},
// Load balancing
loadBalancing: {
strategy: 'round_robin', // 'round_robin' | 'least_connections' | 'weighted'
healthChecks: true,
stickySession: false
}
},
// Security configuration
security: {
// Authentication
authentication: {
providers: {
saml: {
enabled: true,
entityId: 'webmcp-enterprise',
ssoUrl: 'https://sso.company.com/saml/sso',
certificatePath: '/etc/ssl/saml/cert.pem'
},
oidc: {
enabled: true,
issuer: 'https://auth.company.com',
clientId: 'webmcp-enterprise',
clientSecret: process.env.OIDC_CLIENT_SECRET
},
apiKey: {
enabled: true,
requireRotation: true,
rotationInterval: 90 // days
}
}
},
// Authorization
authorization: {
rbac: {
enabled: true,
roles: {
'admin': {
permissions: ['*']
},
'power-user': {
permissions: [
'optimize:*',
'analytics:read',
'settings:read'
]
},
'user': {
permissions: [
'optimize:read',
'optimize:create'
]
}
}
}
},
// Data encryption
encryption: {
atRest: {
enabled: true,
algorithm: 'AES-256-GCM',
keyRotation: true,
keyRotationInterval: 365 // days
},
inTransit: {
enabled: true,
tlsVersion: '1.3',
certificateValidation: true
}
},
// Audit logging
audit: {
enabled: true,
logLevel: 'detailed',
retention: 2555, // 7 years in days
destinations: [
{
type: 'file',
path: '/var/log/webmcp/audit.log',
rotation: 'daily'
},
{
type: 'siem',
endpoint: 'https://siem.company.com/api/events',
format: 'cef'
}
]
}
},
// Performance optimization
performance: {
// Caching
caching: {
enabled: true,
layers: {
redis: {
cluster: true,
nodes: [
'redis-1.internal:6379',
'redis-2.internal:6379',
'redis-3.internal:6379'
],
ttl: 3600, // 1 hour
maxMemory: '2GB'
},
cdn: {
enabled: true,
provider: 'cloudflare',
ttl: 86400 // 24 hours
}
}
},
// Scaling
autoScaling: {
enabled: true,
minInstances: 3,
maxInstances: 20,
metrics: {
cpu: {
targetUtilization: 70,
scaleUpThreshold: 80,
scaleDownThreshold: 30
},
memory: {
targetUtilization: 75,
scaleUpThreshold: 85,
scaleDownThreshold: 40
},
queueLength: {
scaleUpThreshold: 100,
scaleDownThreshold: 10
}
}
},
// Resource management
resources: {
limits: {
maxConcurrentOptimizations: 100,
maxFileSize: '50MB',
processingTimeout: 300000, // 5 minutes
memoryLimit: '4GB'
},
prioritization: {
enabled: true,
queues: {
'high': { weight: 3, maxWait: 10000 },
'normal': { weight: 2, maxWait: 30000 },
'low': { weight: 1, maxWait: 60000 }
}
}
}
},
// Monitoring and observability
monitoring: {
metrics: {
enabled: true,
provider: 'prometheus',
exportInterval: 15000, // 15 seconds
custom: {
businessMetrics: true,
tenantMetrics: true,
costMetrics: true
}
},
logging: {
level: 'info',
structured: true,
format: 'json',
destinations: [
{
type: 'console',
level: 'error'
},
{
type: 'file',
path: '/var/log/webmcp/app.log',
level: 'info',
rotation: 'daily'
},
{
type: 'elasticsearch',
endpoint: 'https://elasticsearch.company.com',
index: 'webmcp-logs',
level: 'debug'
}
]
},
tracing: {
enabled: true,
provider: 'jaeger',
samplingRate: 0.1, // 10% sampling
endpoint: 'http://jaeger-collector:14268/api/traces'
},
alerts: {
enabled: true,
channels: [
{
type: 'slack',
webhook: process.env.SLACK_WEBHOOK_URL,
channel: '#webmcp-alerts'
},
{
type: 'pagerduty',
integrationKey: process.env.PAGERDUTY_INTEGRATION_KEY
}
],
rules: [
{
name: 'high_error_rate',
condition: 'error_rate > 0.05',
severity: 'critical',
cooldown: 300 // 5 minutes
},
{
name: 'high_latency',
condition: 'avg_response_time > 10000',
severity: 'warning',
cooldown: 600 // 10 minutes
}
]
}
},
// Compliance and governance
compliance: {
dataGovernance: {
enabled: true,
// Data classification
classification: {
enabled: true,
levels: ['public', 'internal', 'confidential', 'restricted'],
defaultLevel: 'internal'
},
// Data retention
retention: {
policies: {
'optimization_results': 90, // days
'analytics_data': 365,
'audit_logs': 2555, // 7 years
'user_data': 1095 // 3 years
},
autoDelete: true
},
// Privacy protection
privacy: {
piiDetection: true,
dataAnonymization: true,
rightToErasure: true, // GDPR compliance
dataPortability: true
}
},
// Regulatory compliance
regulatory: {
frameworks: ['SOC2', 'GDPR', 'CCPA', 'HIPAA'],
controls: {
accessControl: true,
dataEncryption: true,
auditLogging: true,
vulnerabilityScanning: true,
penetrationTesting: true
}
}
}
};
module.exports = EnterpriseWebMCPConfig;Monitoring & Alerting
Production monitoring setup with Prometheus and Grafana
YAML# monitoring/prometheus.yml
global:
scrape_interval: 15s
evaluation_interval: 15s
rule_files:
- "alert_rules.yml"
alerting:
alertmanagers:
- static_configs:
- targets:
- alertmanager:9093
scrape_configs:
# webMCP API metrics
- job_name: 'webmcp-api'
static_configs:
- targets:
- 'webmcp-api-1:9090'
- 'webmcp-api-2:9090'
- 'webmcp-api-3:9090'
metrics_path: /metrics
scrape_interval: 15s
# webMCP Worker metrics
- job_name: 'webmcp-workers'
static_configs:
- targets:
- 'webmcp-worker-1:9090'
- 'webmcp-worker-2:9090'
metrics_path: /metrics
scrape_interval: 30s
# Redis metrics
- job_name: 'redis'
static_configs:
- targets:
- 'redis:6379'
metrics_path: /metrics
# PostgreSQL metrics
- job_name: 'postgres'
static_configs:
- targets:
- 'postgres:5432'
# Node exporter for system metrics
- job_name: 'node-exporter'
static_configs:
- targets:
- 'node-exporter:9100'
---
# monitoring/alert_rules.yml
groups:
- name: webmcp_alerts
rules:
# High error rate alert
- alert: WebMCPHighErrorRate
expr: rate(webmcp_http_requests_total{status=~"5.."}[5m]) / rate(webmcp_http_requests_total[5m]) > 0.05
for: 2m
labels:
severity: critical
annotations:
summary: "webMCP error rate is above 5%"
description: "Error rate is {{ $value | humanizePercentage }} for instance {{ $labels.instance }}"
# High response time alert
- alert: WebMCPHighLatency
expr: histogram_quantile(0.95, rate(webmcp_http_request_duration_seconds_bucket[5m])) > 10
for: 5m
labels:
severity: warning
annotations:
summary: "webMCP response time is high"
description: "95th percentile latency is {{ $value }}s for instance {{ $labels.instance }}"
# Low optimization success rate
- alert: WebMCPLowOptimizationSuccess
expr: rate(webmcp_optimizations_total{status="success"}[10m]) / rate(webmcp_optimizations_total[10m]) < 0.9
for: 5m
labels:
severity: warning
annotations:
summary: "webMCP optimization success rate is low"
description: "Success rate is {{ $value | humanizePercentage }} for instance {{ $labels.instance }}"
# Queue length alert
- alert: WebMCPQueueTooLong
expr: webmcp_queue_length > 100
for: 5m
labels:
severity: warning
annotations:
summary: "webMCP processing queue is too long"
description: "Queue length is {{ $value }} items for instance {{ $labels.instance }}"
# Memory usage alert
- alert: WebMCPHighMemoryUsage
expr: (process_resident_memory_bytes / process_virtual_memory_max_bytes) > 0.8
for: 10m
labels:
severity: warning
annotations:
summary: "webMCP memory usage is high"
description: "Memory usage is {{ $value | humanizePercentage }} for instance {{ $labels.instance }}"
# Database connection alert
- alert: WebMCPDatabaseConnectionIssues
expr: webmcp_database_connections_active / webmcp_database_connections_max > 0.8
for: 5m
labels:
severity: critical
annotations:
summary: "webMCP database connection pool is nearly exhausted"
description: "{{ $value | humanizePercentage }} of database connections are in use"
# Redis connection alert
- alert: WebMCPRedisConnectionIssues
expr: webmcp_redis_connected_clients == 0
for: 1m
labels:
severity: critical
annotations:
summary: "webMCP cannot connect to Redis"
description: "No Redis connections detected for instance {{ $labels.instance }}"
---
# monitoring/alertmanager.yml
global:
smtp_smarthost: 'localhost:587'
smtp_from: 'alerts@webmcp.company.com'
route:
group_by: ['alertname']
group_wait: 10s
group_interval: 10s
repeat_interval: 1h
receiver: 'web.hook'
routes:
- match:
severity: critical
receiver: 'critical-alerts'
- match:
severity: warning
receiver: 'warning-alerts'
receivers:
- name: 'web.hook'
webhook_configs:
- url: 'http://alertmanager-webhook:5001/'
- name: 'critical-alerts'
email_configs:
- to: 'oncall@company.com'
subject: 'Critical Alert: {{ .GroupLabels.alertname }}'
body: |
{{ range .Alerts }}
Alert: {{ .Annotations.summary }}
Description: {{ .Annotations.description }}
{{ end }}
slack_configs:
- api_url: '${SLACK_WEBHOOK_URL}'
channel: '#critical-alerts'
title: 'Critical webMCP Alert'
text: '{{ range .Alerts }}{{ .Annotations.summary }}{{ end }}'
- name: 'warning-alerts'
email_configs:
- to: 'team@company.com'
subject: 'Warning Alert: {{ .GroupLabels.alertname }}'
slack_configs:
- api_url: '${SLACK_WEBHOOK_URL}'
channel: '#webmcp-alerts'
title: 'webMCP Warning'
text: '{{ range .Alerts }}{{ .Annotations.summary }}{{ end }}'Compliance & Governance
Meet regulatory requirements with built-in compliance frameworks
SOC 2 Type II
Security, availability, processing integrity, confidentiality, and privacy
Key Controls:
- Access controls
- System monitoring
- Change management
- Risk assessment
GDPR
European data protection and privacy regulation
Key Controls:
- Data minimization
- Right to erasure
- Data portability
- Consent management
HIPAA
Healthcare data protection and privacy
Key Controls:
- PHI encryption
- Access logging
- Business associate agreements
- Risk assessments
ISO 27001
Information security management system
Key Controls:
- Security policies
- Risk management
- Incident response
- Continuous monitoring
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