- 1 Architectural Principles
- 2 Core System Components
- 3 Data Architecture
- 4 Integration Architecture
- 5 Security Architecture
- 6 Deployment Architecture
- 7 Monitoring and Observability
- 8 Summary
Building an RTGS system requires careful architectural design to meet the demanding requirements of financial settlement. This article explores the system architecture, core components, and design patterns used in modern RTGS implementations.
1 Architectural Principles
1.1 Design Goals
🎯 Core Architectural Goals
RTGS systems must satisfy these non-negotiable requirements:
✅ Reliability
- Zero data loss
- Transaction integrity guaranteed
- Predictable behavior under all conditions
✅ Availability
- 99.99%+ uptime during operating hours
- Graceful degradation
- Rapid recovery from failures
✅ Performance
- Sub-second latency
- High throughput capacity
- Consistent response times
✅ Security
- Defense in depth
- Non-repudiation
- Complete audit trail
1.2 Architectural Patterns
Layered Architecture:
graph TB
subgraph "Presentation Layer"
A1[Web Interface]
A2[API Gateway]
A3[Participant Portal]
end
subgraph "Business Logic Layer"
B1[Payment Processing]
B2[Queue Management]
B3[Liquidity Management]
B4[Settlement Engine]
end
subgraph "Integration Layer"
C1[Message Translation]
C2[Protocol Handlers]
C3[External Interfaces]
end
subgraph "Data Layer"
D1[Transaction Database]
D2[Account Database]
D3[Audit Log]
D4[Cache Layer]
end
A1 --> B1
A2 --> B1
A3 --> B1
B1 --> B2
B2 --> B3
B3 --> B4
B1 --> C1
B4 --> C2
C2 --> C3
B1 --> D1
B4 --> D2
B1 --> D3
B1 --> D4
style B1 fill:#1976d2,stroke:#0d47a1,color:#fff
style B4 fill:#1976d2,stroke:#0d47a1,color:#fff
style D1 fill:#388e3c,stroke:#1b5e20,color:#fff
style D2 fill:#388e3c,stroke:#1b5e20,color:#fff
2 Core System Components
2.1 Component Overview
| Component |
Responsibility |
Criticality |
| Payment Processor |
Transaction validation and routing |
Critical |
| Queue Manager |
Payment queue handling |
Critical |
| Liquidity Manager |
Account balance management |
Critical |
| Settlement Engine |
Final settlement execution |
Critical |
| Account Manager |
Participant account operations |
Critical |
| Message Handler |
Format translation and validation |
High |
| Audit Logger |
Transaction logging |
High |
| Monitoring System |
Health and performance tracking |
High |
2.2 Payment Processor
The payment processor is the heart of the RTGS system:
flowchart TD
Start([Payment Received]) --> A[Message Validation]
A --> B{Valid Format?}
B -->|No| Reject1[Reject: Invalid Format]
B -->|Yes| C[Signature Verification]
C --> D{Valid Signature?}
D -->|No| Reject2[Reject: Invalid Signature]
D -->|Yes| E[Business Rules Validation]
E --> F{Passes Rules?}
F -->|No| Reject3[Reject: Business Rule Violation]
F -->|Yes| G[Liquidity Check]
G --> H{Sufficient Funds?}
H -->|No| Queue[Add to Queue]
H -->|Yes| I[Reserve Funds]
I --> J[Forward to Settlement]
J --> End([Processing Complete])
Reject1 --> End
Reject2 --> End
Reject3 --> End
style Start fill:#e3f2fd,stroke:#1976d2
style End fill:#e8f5e9,stroke:#388e3c
style I fill:#fff3e0,stroke:#f57c00
style J fill:#1976d2,stroke:#0d47a1,color:#fff
Payment Processor Responsibilities:
interface PaymentProcessor {
ValidationResult validate(PaymentMessage message);
ComplianceResult checkCompliance(Payment payment);
LiquidityResult checkLiquidity(String accountId, BigDecimal amount);
ProcessingResult process(Payment payment);
QueueResult manageQueue(QueueContext context);
}
2.3 Queue Manager
RTGS systems use queues to handle payments when liquidity is insufficient:
graph LR
subgraph "Queue Structure"
A[Priority Queue]
B[FIFO Queue]
C[Time-critical Queue]
end
subgraph "Queue Operations"
D[Enqueue]
E[Reorder]
F[Release]
G[Cancel]
end
subgraph "Queue Algorithms"
H[FIFO]
I[Priority-based]
J[Optimization]
end
A --> D
B --> D
C --> D
D --> E
E --> F
F --> G
D --> H
E --> I
F --> J
style A fill:#e3f2fd,stroke:#1976d2
style F fill:#fff3e0,stroke:#f57c00
style J fill:#e8f5e9,stroke:#388e3c
Queue Management Strategies:
| Strategy |
Description |
Use Case |
| FIFO |
First In, First Out |
Standard processing |
| Priority |
Based on payment priority |
Urgent payments |
| Optimization |
Multilateral offsetting |
Liquidity efficiency |
| Time-critical |
Deadline-based ordering |
Cut-off approaching |
2.4 Liquidity Manager
Manages participant account balances and liquidity:
flowchart TD
A[Participant Account] --> B[Available Balance]
A --> C[Reserved Balance]
A --> D[Blocked Balance]
B --> E{Payment Request}
E -->|Sufficient| F[Reserve Funds]
E -->|Insufficient| G[Queue Payment]
F --> H[Update Balances]
H --> I[Notify Settlement]
G --> J{Liquidity Added?}
J -->|Yes| E
J -->|No| Wait[Wait for Liquidity]
I --> K[Settlement Complete]
K --> L[Release Reservation]
L --> M[Final Balance Update]
style A fill:#e3f2fd,stroke:#1976d2
style F fill:#fff3e0,stroke:#f57c00
style K fill:#e8f5e9,stroke:#388e3c
style M fill:#1976d2,stroke:#0d47a1,color:#fff
Liquidity Operations:
sequenceDiagram
participant P as Participant
participant LM as Liquidity Manager
participant A as Account
participant Q as Queue
P->>LM: Add Liquidity
LM->>A: Credit Available Balance
LM-->>P: Confirmation
LM->>Q: Check Queued Payments
Q-->>LM: Return Eligible Payments
loop Process Each Eligible Payment
LM->>A: Check Balance
A-->>LM: Balance Status
LM->>A: Reserve Funds
LM->>Q: Release Payment
end
P->>LM: Withdraw Liquidity
LM->>A: Check Available (minus reserved)
A-->>LM: Available Amount
LM->>A: Debit Balance
LM-->>P: Confirmation
2.5 Settlement Engine
The settlement engine executes the final transfer:
flowchart TD
Start([Settlement Request]) --> A[Lock Accounts]
A --> B[Validate Preconditions]
B --> C{All Valid?}
C -->|No| Rollback[Rollback & Reject]
C -->|Yes| D[Debit Sender]
D --> E[Credit Receiver]
E --> F[Update General Ledger]
F --> G[Generate Confirmation]
G --> H[Unlock Accounts]
H --> I[Publish Event]
I --> End([Settlement Complete])
Rollback --> J[Unlock Accounts]
J --> K[Send Rejection]
K --> End
style Start fill:#e3f2fd,stroke:#1976d2
style End fill:#e8f5e9,stroke:#388e3c
style D fill:#fff3e0,stroke:#f57c00
style E fill:#e8f5e9,stroke:#388e3c
style F fill:#1976d2,stroke:#0d47a1,color:#fff
Settlement Properties (ACID):
| Property |
RTGS Implementation |
| Atomicity |
All-or-nothing settlement |
| Consistency |
Balance constraints maintained |
| Isolation |
Concurrent settlements don’t interfere |
| Durability |
Once settled, never reversed |
3 Data Architecture
3.1 Database Schema (Simplified)
erDiagram
PARTICIPANT ||--o{ ACCOUNT : owns
ACCOUNT ||--o{ TRANSACTION : has
TRANSACTION ||--|| SETTLEMENT : results_in
PAYMENT_QUEUE ||--o{ QUEUED_PAYMENT : contains
PARTICIPANT ||--o{ QUEUED_PAYMENT : submits
PARTICIPANT {
string id PK
string name
string type
string status
}
ACCOUNT {
string id PK
string participant_id FK
string currency
decimal available_balance
decimal reserved_balance
decimal blocked_balance
}
TRANSACTION {
string id PK
string sender_account_id FK
string receiver_account_id FK
decimal amount
string currency
string status
timestamp created_at
timestamp settled_at
}
SETTLEMENT {
string id PK
string transaction_id FK
string settlement_account FK
timestamp settlement_time
string status
}
QUEUED_PAYMENT {
string id PK
string payment_id FK
string queue_id FK
int priority
timestamp enqueue_time
}
3.2 Data Flow
flowchart LR
subgraph "Ingestion"
A[Message Input] --> B[Validation]
B --> C[Transformation]
end
subgraph "Processing"
C --> D[Business Logic]
D --> E[State Update]
end
subgraph "Persistence"
E --> F[(Transaction DB)]
E --> G[(Audit Log)]
E --> H[(Event Store)]
end
subgraph "Output"
E --> I[Confirmation]
E --> J[Notification]
E --> K[Reporting]
end
style A fill:#e3f2fd,stroke:#1976d2
style D fill:#fff3e0,stroke:#f57c00
style F fill:#e8f5e9,stroke:#388e3c
style I fill:#e8f5e9,stroke:#388e3c
4 Integration Architecture
4.1 Participant Connectivity
graph TB
subgraph "RTGS System"
A[API Gateway]
B[Message Handler]
C[Security Layer]
end
subgraph "Connectivity Options"
D[SWIFT Network]
E[Direct API]
F[Web Portal]
G[File Transfer]
end
subgraph "Participants"
H[Commercial Bank]
I[Central Bank]
J[Clearing House]
K[Government System]
end
D --> C
E --> A
F --> A
G --> B
A --> B
B --> C
C -.-> H
C -.-> I
C -.-> J
C -.-> K
style A fill:#1976d2,stroke:#0d47a1,color:#fff
style C fill:#f57c00,stroke:#e65100,color:#fff
style H fill:#e3f2fd,stroke:#1976d2
4.2 Message Flow
sequenceDiagram
participant P as Participant System
participant GW as API Gateway
participant PH as Payment Handler
participant DB as Database
participant S as Settlement Engine
P->>GW: Submit Payment (ISO 20022)
GW->>GW: Validate & Authenticate
GW->>PH: Route Payment
PH->>DB: Check Account Status
DB-->>PH: Account Active
PH->>PH: Validate Payment Details
PH->>DB: Store Transaction
PH->>S: Request Settlement
S->>S: Execute Settlement
S->>DB: Update Balances
S-->>PH: Settlement Result
PH->>GW: Response
GW->>P: Settlement Confirmation
Note over P,S: All steps logged for audit
5 Security Architecture
5.1 Security Layers
graph TB
subgraph "Network Security"
A1[Firewall]
A2[IDS/IPS]
A3[DDoS Protection]
end
subgraph "Transport Security"
B1[TLS 1.3]
B2[mTLS]
B3[VPN Tunnels]
end
subgraph "Application Security"
C1[Authentication]
C2[Authorization]
C3[Input Validation]
end
subgraph "Data Security"
D1[Encryption at Rest]
D2[HSM for Keys]
D3[Digital Signatures]
end
subgraph "Audit & Monitoring"
E1[Audit Logs]
E2[SIEM]
E3[Alerting]
end
A1 --> B1
B1 --> C1
C1 --> D1
D1 --> E1
style A1 fill:#e3f2fd,stroke:#1976d2
style B1 fill:#fff3e0,stroke:#f57c00
style C1 fill:#e8f5e9,stroke:#388e3c
style D1 fill:#f3e5f5,stroke:#7b1fa2
style E1 fill:#ffebee,stroke:#c62828
5.2 Authentication Flow
sequenceDiagram
participant P as Participant
participant GW as Gateway
participant AUTH as Auth Service
participant HSM as HSM
P->>GW: Request with Certificate
GW->>AUTH: Validate Certificate
AUTH->>HSM: Verify Signature
HSM-->>AUTH: Signature Valid
AUTH->>AUTH: Check Permissions
AUTH-->>GW: Authentication Result
GW->>P: Access Token / Rejection
Note over P,HSM: Mutual TLS + Digital Signature
6 Deployment Architecture
6.1 High Availability Setup
graph TB
subgraph "Primary Data Center"
A1[Load Balancer]
A2[App Server Cluster]
A3[Database Primary]
A4[Database Replica]
end
subgraph "Secondary Data Center"
B1[Load Balancer]
B2[App Server Cluster]
B3[Database Primary]
B4[Database Replica]
end
subgraph "Disaster Recovery"
C1[Standby Systems]
C2[Cold Backup]
end
A1 --> A2
A2 --> A3
A3 -.->|Sync Replication| A4
B1 --> B2
B2 --> B3
B3 -.->|Sync Replication| B4
A3 -.->|Async Replication| B3
A4 -.->|Async Replication| B4
A2 -.->|Failover| B2
style A1 fill:#1976d2,stroke:#0d47a1,color:#fff
style B1 fill:#1976d2,stroke:#0d47a1,color:#fff
style A3 fill:#388e3c,stroke:#1b5e20,color:#fff
style B3 fill:#388e3c,stroke:#1b5e20,color:#fff
6.2 Component Redundancy
| Component |
Redundancy Strategy |
Failover Time |
| Load Balancer |
Active-Passive |
< 1 second |
| Application Servers |
Active-Active |
Immediate |
| Database |
Primary-Replica |
< 30 seconds |
| Message Queue |
Clustered |
< 5 seconds |
| HSM |
Active-Passive |
< 10 seconds |
7 Monitoring and Observability
7.1 Key Metrics
graph LR
subgraph "Performance Metrics"
A1[Throughput (TPS)]
A2[Latency (ms)]
A3[Queue Depth]
end
subgraph "Availability Metrics"
B1[Uptime %]
B2[Error Rate]
B3[Failover Events]
end
subgraph "Business Metrics"
C1[Transaction Volume]
C2[Settlement Value]
C3[Queue Wait Time]
end
subgraph "Security Metrics"
D1[Failed Auth Attempts]
D2[Invalid Messages]
D3[Security Events]
end
style A1 fill:#e3f2fd,stroke:#1976d2
style B1 fill:#e8f5e9,stroke:#388e3c
style C1 fill:#fff3e0,stroke:#f57c00
style D1 fill:#ffebee,stroke:#c62828
7.2 Alerting Strategy
| Alert Level |
Response Time |
Examples |
| Critical |
Immediate |
System down, Settlement failure |
| High |
< 15 minutes |
High error rate, Queue buildup |
| Medium |
< 1 hour |
Performance degradation |
| Low |
Next business day |
Non-critical warnings |
8 Summary
📋 Key Takeaways
Essential architecture concepts:
✅ Layered Architecture
- Presentation, Business Logic, Integration, Data layers
- Clear separation of concerns
- Independent scalability
✅ Core Components
- Payment Processor, Queue Manager, Liquidity Manager
- Settlement Engine, Account Manager
- Each with specific responsibilities
✅ Data Integrity
- ACID transactions
- Complete audit trail
- Event sourcing for recovery
✅ Security by Design
- Multiple security layers
- HSM for cryptographic operations
- Mutual authentication
✅ High Availability
- Redundant components
- Fast failover
- Geographic distribution
Related Articles:
Footnotes for this article:
Note: For a complete list of all acronyms used in the RTGS series, see the RTGS Acronyms and Abbreviations Reference.