Add full monorepo: virtual-banker, backend, frontend, docs, scripts, deployment
Co-authored-by: Cursor <cursoragent@cursor.com>
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docs/specs/deployment/cicd.md
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docs/specs/deployment/cicd.md
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# CI/CD Pipeline Specification
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## Overview
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Continuous Integration and Continuous Deployment pipeline.
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## Build Pipeline
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### Stages
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1. **Source**: Code checkout
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2. **Build**: Compile/build application
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3. **Test**: Run tests
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4. **Package**: Create container images
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5. **Deploy**: Deploy to environment
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### Tools
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**CI/CD Platform**: GitHub Actions, GitLab CI, or Jenkins
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**Build**: Docker build
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**Registry**: Container registry (Docker Hub, ECR, GCR)
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## Test Strategy
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### Test Types
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**Unit Tests**: Component-level tests
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**Integration Tests**: Service integration tests
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**E2E Tests**: End-to-end user flow tests
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### Test Execution
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- Run on every commit
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- Block deployment on test failures
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- Parallel test execution
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## Deployment Strategies
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### Blue-Green Deployment
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**Method**: Deploy new version alongside old, switch traffic
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**Benefits**: Zero downtime, instant rollback
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**Use Case**: Production deployments
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### Canary Deployment
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**Method**: Gradually roll out new version to subset of users
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**Benefits**: Risk mitigation, gradual rollout
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**Use Case**: Major updates
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## Rollback Procedures
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### Automatic Rollback
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**Triggers**:
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- Health check failures
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- Error rate spike
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- Performance degradation
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### Manual Rollback
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**Process**:
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1. Identify issue
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2. Rollback to previous version
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3. Verify rollback success
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4. Investigate issue
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## References
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- Infrastructure: See `infrastructure.md`
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- Deployment: See `disaster-recovery.md`
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docs/specs/deployment/disaster-recovery.md
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docs/specs/deployment/disaster-recovery.md
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# Disaster Recovery Specification
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## Overview
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Disaster recovery procedures and backup strategies.
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## Backup Strategies
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### Database Backups
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**Full Backups**: Daily full database dumps
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**Incremental Backups**: Continuous WAL archiving (PostgreSQL)
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**Storage**: Off-site backup storage
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**Retention**: 30 days full, 7 days incremental
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### Application Backups
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**Configuration**: Backup configuration files
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**Secrets**: Secure backup of secrets
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**Code**: Version control (Git)
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## Recovery Procedures
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### Recovery Scenarios
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**1. Database Corruption**:
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- Restore from latest backup
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- Replay WAL logs
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- Verify data integrity
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**2. Service Failure**:
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- Restart services
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- Verify health
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- Check logs
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**3. Data Center Failure**:
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- Failover to secondary region
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- Restore from backups
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- Verify functionality
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### Recovery Testing
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**Frequency**: Quarterly
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**Tests**: Restore from backups, verify data integrity
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## RTO/RPO Targets
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**RTO (Recovery Time Objective)**: 1 hour
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**RPO (Recovery Point Objective)**: 5 minutes (max data loss)
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## Multi-Region Failover
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### Failover Strategy
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**Primary Region**: Active services
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**Secondary Region**: Standby/replica services
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**Failover**: Automatic or manual failover
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### Data Replication
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**Method**: Database replication, data synchronization
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**Latency**: Acceptable replication lag
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**Consistency**: Eventual consistency acceptable
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## References
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- Infrastructure: See `infrastructure.md`
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- Scaling: See `scaling.md`
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docs/specs/deployment/infrastructure.md
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docs/specs/deployment/infrastructure.md
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# Infrastructure as Code Specification
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## Overview
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Infrastructure as Code (IaC) for containerization and orchestration.
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## Containerization Strategy
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**Technology**: Docker
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**Images**:
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- Application services
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- Indexers
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- APIs
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- Worker processes
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## Orchestration Patterns
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**Technology**: Kubernetes
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**Components**:
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- Deployments: Application services
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- StatefulSets: Database, stateful services
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- Jobs: Batch processing
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- CronJobs: Scheduled tasks
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## Service Discovery
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**Method**: Kubernetes DNS
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**Service Names**: `service-name.namespace.svc.cluster.local`
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**Internal Communication**: Use service names
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## Configuration Management
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**Method**: ConfigMaps and Secrets
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**External Config**: Environment variables
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**Secrets**: Kubernetes Secrets or external secret management
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## References
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- CI/CD: See `cicd.md`
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- Scaling: See `scaling.md`
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docs/specs/deployment/scaling.md
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docs/specs/deployment/scaling.md
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# Scaling Strategy Specification
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## Overview
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Horizontal and vertical scaling strategies for the platform.
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## Horizontal Scaling Patterns
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### Application Scaling
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**Method**: Add more service instances
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**Auto-scaling**: Based on CPU, memory, request rate
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**Load Balancing**: Distribute traffic across instances
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### Database Scaling
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**Read Replicas**: Scale read capacity
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**Sharding**: Partition data for write scaling
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**Connection Pooling**: Efficient connection management
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## Database Scaling
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### Read Replicas
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**Strategy**: Multiple read replicas for read-heavy workloads
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**Replication**: Async replication from primary
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**Use Case**: API read operations
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### Sharding
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**Strategy**: Partition data by chain_id
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**Implementation**: Database partitioning
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**Use Case**: Very large datasets
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## Caching Strategy
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### Redis Cache
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**Use Cases**:
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- API response caching
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- Session storage
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- Rate limiting counters
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- Frequently accessed data
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### CDN Caching
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**Use Cases**:
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- Static assets
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- API responses (short TTL)
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## Load Balancing Configuration
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**Method**: Kubernetes service or external load balancer
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**Algorithm**: Round-robin or least connections
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**Health Checks**: Regular health checks, route to healthy instances
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## References
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- Infrastructure: See `infrastructure.md`
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- CI/CD: See `cicd.md`
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