Add full monorepo: virtual-banker, backend, frontend, docs, scripts, deployment

Co-authored-by: Cursor <cursoragent@cursor.com>
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# CI/CD Pipeline Specification
## Overview
Continuous Integration and Continuous Deployment pipeline.
## Build Pipeline
### Stages
1. **Source**: Code checkout
2. **Build**: Compile/build application
3. **Test**: Run tests
4. **Package**: Create container images
5. **Deploy**: Deploy to environment
### Tools
**CI/CD Platform**: GitHub Actions, GitLab CI, or Jenkins
**Build**: Docker build
**Registry**: Container registry (Docker Hub, ECR, GCR)
## Test Strategy
### Test Types
**Unit Tests**: Component-level tests
**Integration Tests**: Service integration tests
**E2E Tests**: End-to-end user flow tests
### Test Execution
- Run on every commit
- Block deployment on test failures
- Parallel test execution
## Deployment Strategies
### Blue-Green Deployment
**Method**: Deploy new version alongside old, switch traffic
**Benefits**: Zero downtime, instant rollback
**Use Case**: Production deployments
### Canary Deployment
**Method**: Gradually roll out new version to subset of users
**Benefits**: Risk mitigation, gradual rollout
**Use Case**: Major updates
## Rollback Procedures
### Automatic Rollback
**Triggers**:
- Health check failures
- Error rate spike
- Performance degradation
### Manual Rollback
**Process**:
1. Identify issue
2. Rollback to previous version
3. Verify rollback success
4. Investigate issue
## References
- Infrastructure: See `infrastructure.md`
- Deployment: See `disaster-recovery.md`

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# Disaster Recovery Specification
## Overview
Disaster recovery procedures and backup strategies.
## Backup Strategies
### Database Backups
**Full Backups**: Daily full database dumps
**Incremental Backups**: Continuous WAL archiving (PostgreSQL)
**Storage**: Off-site backup storage
**Retention**: 30 days full, 7 days incremental
### Application Backups
**Configuration**: Backup configuration files
**Secrets**: Secure backup of secrets
**Code**: Version control (Git)
## Recovery Procedures
### Recovery Scenarios
**1. Database Corruption**:
- Restore from latest backup
- Replay WAL logs
- Verify data integrity
**2. Service Failure**:
- Restart services
- Verify health
- Check logs
**3. Data Center Failure**:
- Failover to secondary region
- Restore from backups
- Verify functionality
### Recovery Testing
**Frequency**: Quarterly
**Tests**: Restore from backups, verify data integrity
## RTO/RPO Targets
**RTO (Recovery Time Objective)**: 1 hour
**RPO (Recovery Point Objective)**: 5 minutes (max data loss)
## Multi-Region Failover
### Failover Strategy
**Primary Region**: Active services
**Secondary Region**: Standby/replica services
**Failover**: Automatic or manual failover
### Data Replication
**Method**: Database replication, data synchronization
**Latency**: Acceptable replication lag
**Consistency**: Eventual consistency acceptable
## References
- Infrastructure: See `infrastructure.md`
- Scaling: See `scaling.md`

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# Infrastructure as Code Specification
## Overview
Infrastructure as Code (IaC) for containerization and orchestration.
## Containerization Strategy
**Technology**: Docker
**Images**:
- Application services
- Indexers
- APIs
- Worker processes
## Orchestration Patterns
**Technology**: Kubernetes
**Components**:
- Deployments: Application services
- StatefulSets: Database, stateful services
- Jobs: Batch processing
- CronJobs: Scheduled tasks
## Service Discovery
**Method**: Kubernetes DNS
**Service Names**: `service-name.namespace.svc.cluster.local`
**Internal Communication**: Use service names
## Configuration Management
**Method**: ConfigMaps and Secrets
**External Config**: Environment variables
**Secrets**: Kubernetes Secrets or external secret management
## References
- CI/CD: See `cicd.md`
- Scaling: See `scaling.md`

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# Scaling Strategy Specification
## Overview
Horizontal and vertical scaling strategies for the platform.
## Horizontal Scaling Patterns
### Application Scaling
**Method**: Add more service instances
**Auto-scaling**: Based on CPU, memory, request rate
**Load Balancing**: Distribute traffic across instances
### Database Scaling
**Read Replicas**: Scale read capacity
**Sharding**: Partition data for write scaling
**Connection Pooling**: Efficient connection management
## Database Scaling
### Read Replicas
**Strategy**: Multiple read replicas for read-heavy workloads
**Replication**: Async replication from primary
**Use Case**: API read operations
### Sharding
**Strategy**: Partition data by chain_id
**Implementation**: Database partitioning
**Use Case**: Very large datasets
## Caching Strategy
### Redis Cache
**Use Cases**:
- API response caching
- Session storage
- Rate limiting counters
- Frequently accessed data
### CDN Caching
**Use Cases**:
- Static assets
- API responses (short TTL)
## Load Balancing Configuration
**Method**: Kubernetes service or external load balancer
**Algorithm**: Round-robin or least connections
**Health Checks**: Regular health checks, route to healthy instances
## References
- Infrastructure: See `infrastructure.md`
- CI/CD: See `cicd.md`