Platform Deployment Guides
Deploy and manage AI platforms with Grid, NexusCore, and wDOS
Grid Deployment
Cluster Setup
Configure distributed computing clusters with automatic scaling and load balancing.
- • Kubernetes cluster configuration
- • Node auto-scaling policies
- • Resource allocation strategies
- • Network security setup
Workload Distribution
Optimize AI workload distribution across compute nodes for maximum efficiency.
- • Task queue configuration
- • GPU resource scheduling
- • Fault tolerance mechanisms
- • Performance monitoring
NexusCore Integration
API Gateway Configuration
# nexuscore.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: nexuscore-config
data:
gateway.conf: |
upstream ai_services {
server ai-service-1:8000;
server ai-service-2:8000;
}
server {
listen 80;
location /api/v1/ {
proxy_pass http://ai_services;
proxy_set_header Host $host;
}
}Service Discovery
Automatic service registration and health checking for AI microservices.
- • Consul integration
- • Health check endpoints
- • Load balancer updates
- • Circuit breaker patterns
Authentication
Secure API access with JWT tokens and role-based permissions.
- • JWT token validation
- • Role-based access control
- • API key management
- • Rate limiting policies
wDOS Storage
Bucket Configuration
Set up secure, scalable storage buckets for AI data and model artifacts.
- • Encryption at rest
- • Lifecycle policies
- • Access control lists
- • Backup strategies
wdos bucket create ai-models --encryption=AES256Data Pipeline
Automated data ingestion and processing pipelines with wDOS integration.
- • Stream processing
- • Batch job scheduling
- • Data validation
- • Error handling
wdos pipeline deploy --config=pipeline.yamlSecurity Best Practices
Network Security
Implement VPC, firewalls, and encrypted communication between services.
Data Encryption
Encrypt sensitive data at rest and in transit using industry-standard protocols.
Access Control
Implement least-privilege access with regular audit logs and monitoring.
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