work on market-data-gateway

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Bojan Kucera 2025-06-03 09:57:11 -04:00
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# Platform Services
Platform services provide foundational infrastructure, monitoring, and operational capabilities that support all other services.
## Services
*Currently in planning phase - no active services deployed*
## Planned Capabilities
### Service Discovery
- **Purpose**: Dynamic service registration and discovery
- **Planned Functions**:
- Service health monitoring
- Load balancing and routing
- Service mesh coordination
- Configuration management
### Logging & Monitoring
- **Purpose**: Observability and operational insights
- **Planned Functions**:
- Centralized logging aggregation
- Metrics collection and analysis
- Distributed tracing
- Performance monitoring and alerting
### Configuration Management
- **Purpose**: Centralized configuration and secrets management
- **Planned Functions**:
- Environment-specific configurations
- Secrets encryption and rotation
- Dynamic configuration updates
- Configuration versioning and rollback
### Authentication & Authorization
- **Purpose**: Security and access control
- **Planned Functions**:
- User authentication and session management
- Role-based access control (RBAC)
- API security and token management
- Audit logging and compliance
### Backup & Recovery
- **Purpose**: Data protection and disaster recovery
- **Planned Functions**:
- Automated backup scheduling
- Point-in-time recovery
- Cross-region replication
- Disaster recovery orchestration
## Architecture
Platform services provide the operational foundation that enables reliable, secure, and observable operation of the entire trading platform. They implement cross-cutting concerns and best practices for production deployments.

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# Authentication & Authorization
## Overview
The Authentication & Authorization service will provide comprehensive security controls for the stock-bot platform. It will manage user identity, authentication, access control, and security policy enforcement across all platform components, ensuring proper security governance and compliance with regulatory requirements.
## Planned Features
### User Management
- **User Provisioning**: Account creation and management
- **Identity Sources**: Local and external identity providers
- **User Profiles**: Customizable user attributes
- **Group Management**: User grouping and organization
- **Account Lifecycle**: Comprehensive user lifecycle management
### Authentication
- **Multiple Factors**: Support for MFA/2FA
- **Single Sign-On**: Integration with enterprise SSO solutions
- **Social Login**: Support for third-party identity providers
- **Session Management**: Secure session handling and expiration
- **Password Policies**: Configurable password requirements
### Authorization
- **Role-Based Access Control**: Fine-grained permission management
- **Attribute-Based Access**: Context-aware access decisions
- **Permission Management**: Centralized permission administration
- **Dynamic Policies**: Rule-based access policies
- **Delegated Administration**: Hierarchical permission management
### Security Features
- **Token Management**: JWT and OAuth token handling
- **API Security**: Protection of API endpoints
- **Rate Limiting**: Prevention of brute force attacks
- **Audit Logging**: Comprehensive security event logging
- **Compliance Reporting**: Reports for regulatory requirements
## Planned Integration Points
### Service Integration
- All platform microservices
- API Gateway
- Frontend applications
- External systems and partners
### Identity Providers
- Internal identity store
- Enterprise directory services
- Social identity providers
- OAuth/OIDC providers
## Planned Technical Implementation
### Technology Stack
- **Identity Server**: Keycloak or Auth0
- **API Protection**: OAuth 2.0 and OpenID Connect
- **Token Format**: JWT with appropriate claims
- **Storage**: Secure credential and policy storage
- **Encryption**: Industry-standard encryption for sensitive data
### Architecture Pattern
- Identity as a service
- Policy-based access control
- Token-based authentication
- Layered security model
## Development Guidelines
### Authentication Integration
- Authentication flow implementation
- Token handling best practices
- Session management requirements
- Credential security standards
### Authorization Implementation
- Permission modeling approach
- Policy definition format
- Access decision points
- Contextual authorization techniques
### Security Considerations
- Token security requirements
- Key rotation procedures
- Security event monitoring
- Penetration testing requirements
## Implementation Roadmap
1. Core user management and authentication
2. Basic role-based authorization
3. API security and token management
4. Advanced access control policies
5. Compliance reporting and auditing

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# Backup & Recovery
## Overview
The Backup & Recovery service will provide comprehensive data protection, disaster recovery, and business continuity capabilities for the stock-bot platform. It will ensure that critical data and system configurations are preserved, with reliable recovery options in case of system failures, data corruption, or catastrophic events.
## Planned Features
### Backup Management
- **Automated Backups**: Scheduled backup of all critical data
- **Incremental Backups**: Efficient storage of incremental changes
- **Multi-tier Backup**: Different retention policies by data importance
- **Backup Verification**: Automated testing of backup integrity
- **Backup Catalog**: Searchable index of available backups
### Recovery Capabilities
- **Point-in-time Recovery**: Restore to specific moments in time
- **Granular Recovery**: Restore specific objects or datasets
- **Self-service Recovery**: User portal for simple recovery operations
- **Recovery Testing**: Regular validation of recovery procedures
- **Recovery Performance**: Optimized for minimal downtime
### Disaster Recovery
- **Cross-region Replication**: Geographic data redundancy
- **Recovery Site**: Standby environment for critical services
- **Failover Automation**: Scripted failover procedures
- **Recovery Orchestration**: Coordinated multi-system recovery
- **DR Testing**: Regular disaster scenario testing
### Data Protection
- **Encryption**: At-rest and in-transit data encryption
- **Access Controls**: Restricted access to backup data
- **Retention Policies**: Compliance with data retention requirements
- **Immutable Backups**: Protection against ransomware
- **Air-gapped Storage**: Ultimate protection for critical backups
## Planned Integration Points
### Data Sources
- Platform databases (MongoDB, PostgreSQL)
- Object storage and file systems
- Service configurations
- Message queues and event streams
- User data and preferences
### System Integration
- Infrastructure as Code systems
- Monitoring and alerting
- Compliance reporting
- Operations management tools
## Planned Technical Implementation
### Technology Stack
- **Backup Tools**: Cloud-native backup solutions
- **Storage**: Object storage with versioning
- **Orchestration**: Infrastructure as Code for recovery
- **Monitoring**: Backup health and status monitoring
- **Automation**: Scripted recovery procedures
### Architecture Pattern
- Centralized backup management
- Distributed backup agents
- Immutable backup storage
- Recovery validation automation
## Development Guidelines
### Backup Strategy
- Backup frequency guidelines
- Retention period standards
- Versioning requirements
- Validation procedures
### Recovery Procedures
- Recovery time objectives
- Recovery point objectives
- Testing frequency requirements
- Documentation standards
### Security Requirements
- Encryption standards
- Access control implementation
- Audit requirements
- Secure deletion procedures
## Implementation Roadmap
1. Core database backup capabilities
2. Basic recovery procedures
3. Cross-region replication
4. Automated recovery testing
5. Advanced protection features

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# Configuration Management
## Overview
The Configuration Management service will provide centralized management of application and service configurations across the stock-bot platform. It will handle environment-specific settings, dynamic configuration updates, secrets management, and configuration versioning to ensure consistent and secure system configuration.
## Planned Features
### Configuration Storage
- **Hierarchical Configuration**: Nested configuration structure
- **Environment Separation**: Environment-specific configurations
- **Schema Validation**: Configuration format validation
- **Default Values**: Fallback configuration defaults
- **Configuration as Code**: Version-controlled configuration
### Dynamic Configuration
- **Runtime Updates**: Changes without service restart
- **Configuration Propagation**: Real-time distribution of changes
- **Subscription Model**: Configuration change notifications
- **Batch Updates**: Atomic multi-value changes
- **Feature Flags**: Dynamic feature enablement
### Secrets Management
- **Secure Storage**: Encrypted storage of sensitive values
- **Access Control**: Fine-grained access to secrets
- **Secret Versioning**: Historical versions of secrets
- **Automatic Rotation**: Scheduled credential rotation
- **Key Management**: Management of encryption keys
### Operational Features
- **Configuration History**: Tracking of configuration changes
- **Rollbacks**: Revert to previous configurations
- **Audit Trail**: Comprehensive change logging
- **Configuration Comparison**: Diff between configurations
- **Import/Export**: Bulk configuration operations
## Planned Integration Points
### Service Integration
- All platform microservices
- CI/CD pipelines
- Infrastructure components
- Development environments
### External Systems
- Secret management services
- Source control systems
- Operational monitoring
- Compliance systems
## Planned Technical Implementation
### Technology Stack
- **Configuration Server**: Spring Cloud Config or custom solution
- **Secret Store**: HashiCorp Vault or AWS Secrets Manager
- **Storage**: Git-backed or database storage
- **API**: RESTful interface with versioning
- **SDK**: Client libraries for service integration
### Architecture Pattern
- Configuration as a service
- Event-driven configuration updates
- Layered access control model
- High-availability design
## Development Guidelines
### Configuration Structure
- Naming conventions
- Hierarchy organization
- Type validation
- Documentation requirements
### Secret Management
- Secret classification
- Rotation requirements
- Access request process
- Emergency access procedures
### Integration Approach
- Client library usage
- Caching recommendations
- Failure handling
- Update processing
## Implementation Roadmap
1. Static configuration management
2. Basic secrets storage
3. Dynamic configuration updates
4. Advanced secret management features
5. Operational tooling and integration

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# Logging & Monitoring
## Overview
The Logging & Monitoring service will provide comprehensive observability capabilities for the stock-bot platform. It will collect, process, store, and visualize logs, metrics, and traces from all platform components, enabling effective operational monitoring, troubleshooting, and performance optimization.
## Planned Features
### Centralized Logging
- **Log Aggregation**: Collection of logs from all services
- **Structured Logging**: Standardized log format across services
- **Log Processing**: Parsing, enrichment, and transformation
- **Log Storage**: Efficient storage with retention policies
- **Log Search**: Advanced search capabilities with indexing
### Metrics Collection
- **System Metrics**: CPU, memory, disk, network usage
- **Application Metrics**: Custom application-specific metrics
- **Business Metrics**: Trading and performance indicators
- **SLI/SLO Tracking**: Service level indicators and objectives
- **Alerting Thresholds**: Metric-based alert configuration
### Distributed Tracing
- **Request Tracing**: End-to-end tracing of requests
- **Span Collection**: Detailed operation timing
- **Trace Correlation**: Connect logs, metrics, and traces
- **Latency Analysis**: Performance bottleneck identification
- **Dependency Mapping**: Service dependency visualization
### Alerting & Notification
- **Alert Rules**: Multi-condition alert definitions
- **Notification Channels**: Email, SMS, chat integrations
- **Alert Grouping**: Intelligent alert correlation
- **Escalation Policies**: Tiered notification escalation
- **On-call Management**: Rotation and scheduling
## Planned Integration Points
### Data Sources
- All platform microservices
- Infrastructure components
- Databases and storage systems
- Message bus and event streams
- External dependencies
### Consumers
- Operations team dashboards
- Incident management systems
- Capacity planning tools
- Automated remediation systems
## Planned Technical Implementation
### Technology Stack
- **Logging**: ELK Stack (Elasticsearch, Logstash, Kibana) or similar
- **Metrics**: Prometheus and Grafana
- **Tracing**: Jaeger or Zipkin
- **Alerting**: AlertManager or PagerDuty
- **Collection**: Vector, Fluentd, or similar collectors
### Architecture Pattern
- Centralized collection with distributed agents
- Push and pull metric collection models
- Sampling for high-volume telemetry
- Buffering for resilient data collection
## Development Guidelines
### Instrumentation Standards
- Logging best practices
- Metric naming conventions
- Trace instrumentation approach
- Cardinality management
### Performance Impact
- Sampling strategies
- Buffer configurations
- Resource utilization limits
- Batching recommendations
### Data Management
- Retention policies
- Aggregation strategies
- Storage optimization
- Query efficiency guidelines
## Implementation Roadmap
1. Core logging infrastructure
2. Basic metrics collection
3. Critical alerting capability
4. Distributed tracing
5. Advanced analytics and visualization

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# Service Discovery
## Overview
The Service Discovery component will provide dynamic registration, discovery, and health monitoring of services within the stock-bot platform. It will enable services to locate and communicate with each other without hardcoded endpoints, supporting a flexible and resilient microservices architecture.
## Planned Features
### Service Registration
- **Automatic Registration**: Self-registration of services on startup
- **Metadata Management**: Service capabilities and endpoint information
- **Instance Tracking**: Multiple instances of the same service
- **Version Information**: Service version and compatibility data
- **Registration Expiry**: TTL-based registration with renewal
### Service Discovery
- **Name-based Lookup**: Find services by logical names
- **Filtering**: Discovery based on metadata and attributes
- **Load Balancing**: Client or server-side load balancing
- **Caching**: Client-side caching of service information
- **DNS Integration**: Optional DNS-based discovery
### Health Monitoring
- **Health Checks**: Customizable health check protocols
- **Automatic Deregistration**: Removal of unhealthy instances
- **Status Propagation**: Health status notifications
- **Dependency Health**: Cascading health status for dependencies
- **Self-healing**: Automatic recovery procedures
### Configuration Management
- **Dynamic Configuration**: Runtime configuration updates
- **Environment-specific Settings**: Configuration by environment
- **Configuration Versioning**: History and rollback capabilities
- **Secret Management**: Secure handling of sensitive configuration
- **Configuration Change Events**: Notifications of config changes
## Planned Integration Points
### Service Integration
- All platform microservices
- External service dependencies
- Infrastructure components
- Monitoring systems
## Planned Technical Implementation
### Technology Stack
- **Service Registry**: Consul, etcd, or ZooKeeper
- **Client Libraries**: TypeScript SDK for services
- **Health Check**: HTTP, TCP, and custom health checks
- **Configuration Store**: Distributed key-value store
- **Load Balancer**: Client-side or service mesh integration
### Architecture Pattern
- Service registry pattern
- Client-side discovery pattern
- Health check pattern
- Circuit breaker integration
## Development Guidelines
### Service Integration
- Registration process
- Discovery implementation
- Health check implementation
- Configuration consumption
### Resilience Practices
- Caching strategy
- Fallback mechanisms
- Retry configuration
- Circuit breaker settings
### Operational Considerations
- High availability setup
- Disaster recovery approach
- Scaling guidelines
- Monitoring requirements
## Implementation Roadmap
1. Core service registry implementation
2. Basic health checking
3. Service discovery integration
4. Configuration management
5. Advanced health monitoring with dependency tracking