# Deployment Architecture
## Container Architecture
```mermaid
flowchart TB
subgraph LB[Load Balancer]
NX[NGINX]
end
subgraph APP[Application]
API1[API 1]
API2[API 2]
API3[API n...]
end
subgraph DB[Storage]
subgraph ES[Elasticsearch]
ES1[(Node 1)]
ES2[(Node 2)]
ES3[(Node n)]
end
subgraph RD[Redis]
RD1[(Master)]
RD2[(Replica 1)]
RD3[(Replica n)]
end
end
subgraph MON[Monitoring]
PM[Prometheus]
GF[Grafana]
AE[Alerts]
end
NX --> API1
NX --> API2
NX --> API3
API1 --> ES1
API1 --> RD1
API2 --> ES1
API2 --> RD1
API3 --> ES1
API3 --> RD1
ES1 <--> ES2
ES1 <--> ES3
ES2 <--> ES3
RD1 --> RD2
RD1 --> RD3
API1 --> PM
API2 --> PM
API3 --> PM
PM --> GF
PM --> AE
```
## Deployment Configuration
### Container Orchestration
- Kubernetes or Docker Swarm for container orchestration
- Automatic scaling based on load
- Health checks and auto-recovery
- Rolling updates with zero downtime
### High Availability
- Multiple API server instances
- Elasticsearch cluster with 3+ nodes
- Redis master-replica setup
- Load balancer with SSL termination
### Monitoring & Alerts
- Real-time metrics collection
- Custom Grafana dashboards
- Alert rules for critical conditions
- Automated incident response
### Backup & Recovery
- Automated Elasticsearch snapshots
- Redis persistence and backup
- Configuration backups
- Disaster recovery procedures
### Security
- SSL/TLS encryption
- Network isolation
- Access control lists
- Security monitoring
## Resource Requirements
### Minimum Production Setup
- **API Servers**: 2+ instances, 2 CPU, 4GB RAM each
- **Elasticsearch**: 3 nodes, 4 CPU, 8GB RAM each
- **Redis**: 1 master + 2 replicas, 2 CPU, 4GB RAM each
- **Monitoring**: 2 CPU, 4GB RAM
- **Storage**: 100GB+ per Elasticsearch node