Introduction to High-Level System Design
System Design Fundamentals
- Functional vs. Non-Functional Requirements
- Scalability, Availability, and Reliability
- Latency and Throughput Considerations
- Load Balancing Strategies
Architectural Patterns
- Monolithic vs. Microservices Architecture
- Layered Architecture
- Event-Driven Architecture
- Serverless Architecture
- Model-View-Controller (MVC) Pattern
- CQRS (Command Query Responsibility Segregation)
Scaling Strategies
- Vertical Scaling vs. Horizontal Scaling
- Sharding and Partitioning
- Data Replication and Consistency Models
- Load Balancing Strategies
- CDN and Edge Computing
Database Design in HLD
- SQL vs. NoSQL Databases
- CAP Theorem and its Impact on System Design
- Database Indexing and Query Optimization
- Database Sharding and Partitioning
- Replication Strategies
API Design and Communication
Caching Strategies
- Types of Caching
- Cache Invalidation Strategies
- Redis vs. Memcached
- Cache-Aside, Write-Through, and Write-Behind Strategies
Message Queues and Event-Driven Systems
- Kafka vs. RabbitMQ vs. SQS
- Pub-Sub vs. Point-to-Point Messaging
- Handling Asynchronous Workloads
- Eventual Consistency in Distributed Systems
Security in System Design
Observability and Monitoring
- Logging Strategies (ELK Stack, Prometheus, Grafana)
- API Security Best Practices
- Secure Data Storage and Access Control
- DDoS Protection and Rate Limiting
Real-World System Design Case Studies
- Distributed locking (Locking and its Types)
- Memory leaks and Out of memory issues
- HLD of YouTube
- HLD of WhatsApp
System Design Interview Questions
- Adobe System Design Interview Questions
- Top Atlassian System Design Interview Questions
- Top Amazon System Design Interview Questions
- Top Microsoft System Design Interview Questions
- Top Meta (Facebook) System Design Interview Questions
- Top Netflix System Design Interview Questions
- Top Uber System Design Interview Questions
- Top Google System Design Interview Questions
- Top Apple System Design Interview Questions
- Top Airbnb System Design Interview Questions
- Top 10 System Design Interview Questions
- Mobile App System Design Interview Questions
- Top 20 Stripe System Design Interview Questions
- Top Shopify System Design Interview Questions
- Top 20 System Design Interview Questions
- Top Advanced System Design Questions
- Most-Frequented System Design Questions in Big Tech Interviews
- What Interviewers Look for in System Design Questions
- Critical System Design Questions to Crack Any Tech Interview
- Top 20 API Design Questions for System Design Interviews
- Top 10 Steps to Create a System Design Portfolio for Developers
Introduction to High-Level System Design
System Design Fundamentals
- Functional vs. Non-Functional Requirements
- Scalability, Availability, and Reliability
- Latency and Throughput Considerations
- Load Balancing Strategies
Architectural Patterns
- Monolithic vs. Microservices Architecture
- Layered Architecture
- Event-Driven Architecture
- Serverless Architecture
- Model-View-Controller (MVC) Pattern
- CQRS (Command Query Responsibility Segregation)
Scaling Strategies
- Vertical Scaling vs. Horizontal Scaling
- Sharding and Partitioning
- Data Replication and Consistency Models
- Load Balancing Strategies
- CDN and Edge Computing
Database Design in HLD
- SQL vs. NoSQL Databases
- CAP Theorem and its Impact on System Design
- Database Indexing and Query Optimization
- Database Sharding and Partitioning
- Replication Strategies
API Design and Communication
Caching Strategies
- Types of Caching
- Cache Invalidation Strategies
- Redis vs. Memcached
- Cache-Aside, Write-Through, and Write-Behind Strategies
Message Queues and Event-Driven Systems
- Kafka vs. RabbitMQ vs. SQS
- Pub-Sub vs. Point-to-Point Messaging
- Handling Asynchronous Workloads
- Eventual Consistency in Distributed Systems
Security in System Design
Observability and Monitoring
- Logging Strategies (ELK Stack, Prometheus, Grafana)
- API Security Best Practices
- Secure Data Storage and Access Control
- DDoS Protection and Rate Limiting
Real-World System Design Case Studies
- Distributed locking (Locking and its Types)
- Memory leaks and Out of memory issues
- HLD of YouTube
- HLD of WhatsApp
System Design Interview Questions
- Adobe System Design Interview Questions
- Top Atlassian System Design Interview Questions
- Top Amazon System Design Interview Questions
- Top Microsoft System Design Interview Questions
- Top Meta (Facebook) System Design Interview Questions
- Top Netflix System Design Interview Questions
- Top Uber System Design Interview Questions
- Top Google System Design Interview Questions
- Top Apple System Design Interview Questions
- Top Airbnb System Design Interview Questions
- Top 10 System Design Interview Questions
- Mobile App System Design Interview Questions
- Top 20 Stripe System Design Interview Questions
- Top Shopify System Design Interview Questions
- Top 20 System Design Interview Questions
- Top Advanced System Design Questions
- Most-Frequented System Design Questions in Big Tech Interviews
- What Interviewers Look for in System Design Questions
- Critical System Design Questions to Crack Any Tech Interview
- Top 20 API Design Questions for System Design Interviews
- Top 10 Steps to Create a System Design Portfolio for Developers
Introduction: Understanding Payment Gateway Architecture
A payment gateway is a secure service that processes online transactions between customers, merchants, and financial institutions. It plays a crucial role in e‑commerce by enabling real‑time transaction authorization, multi‑payment method support, and compliance with industry standards. Understanding payment gateway architecture is essential for developers aiming to build scalable, secure, and compliant payment solutions.
What Is a Payment Gateway and How Does It Work?
A payment gateway acts as the digital equivalent of a point‑of‑sale terminal, handling:
- Transaction Authorization: Verifies and approves payments instantly.
- Multi‑Payment Support: Accepts credit cards, UPI, wallets, net banking, EMI, and more.
- Security & Compliance: Ensures PCI‑DSS adherence, end‑to‑end encryption, and AI‑based fraud detection.
- Bank & Processor Integration: Connects seamlessly with acquiring banks and card networks.
- API & SDK Support: Offers developer‑friendly REST APIs and mobile SDKs for quick integration.
For front‑end and back‑end integration best practices, explore our comprehensive Web Development Program designed for modern application builders.

Key Functional Requirements for a Payment Processing Platform
To deliver a robust payment gateway, the system must include:
Secure User Authentication
- Enforce strong password policies, session management, and two‑factor authentication (2FA).
- Provide separate flows for merchants and customers to manage their accounts safely.
Comprehensive Payment Processing
- Initiate, authorize, capture, refund, and settle transactions through dedicated endpoints.
- Support partial and full refunds with transparent status tracking.
Multi‑Payment Method Integration
- Enable credit/debit cards, UPI, digital wallets, net banking, and EMI options.
- Tokenize payment credentials to reduce PCI scope and enhance security.
AI‑Driven Fraud Detection
- Implement machine learning models for anomaly detection and real‑time risk scoring.
- Integrate continuous monitoring to flag suspicious activities before settlement.
Sharpen your algorithmic thinking for fraud prevention with our Top 20 DSA Interview Questions You Need to Know.
Merchant and Customer Management
- Offer onboarding workflows, KYC verification, and support dashboards.
- Track transactions, generate invoices, and manage subscription lifecycles.
Notifications and Alerts
- Send real‑time SMS, email, push notifications, and webhooks for critical events.
- Maintain logs for audit trails and compliance reporting.
Non‑Functional Requirements and Performance Goals
Meeting non‑functional requirements ensures a seamless payment experience under high load:
- Scalability: Architect for 20,000 peak transactions per second (TPS) with horizontal scaling and database sharding.
- High Availability: Target 99.99% uptime using redundant clusters, load balancers, and failover strategies.
- Low Latency: Aim for sub‑100 ms response times from authorization to confirmation.
- Security & Compliance: Maintain PCI‑DSS certification, RBI guidelines, AES‑256 encryption, and tokenization.
For a deeper dive into system design patterns that support these goals, check our Master DSA, Web Dev & System Design course.

Capacity Planning: Storage, Bandwidth, and Constraints
When estimating capacity in an India‑region deployment:
Metric | Estimate |
Daily Transactions | 50 million |
Peak TPS | 20,000 |
Average Transaction Payload | 3 KB |
Transaction Logs (Text) | 150 GB/day (≈273 TB/5 years) |
Media Storage (Invoices, KYC) | 5 PB/5 years |
Peak Bandwidth | 500 MB/sec |
Average Bandwidth | 250 MB/sec |
Infrastructure constraints include database scaling, network throughput, and compliance‑grade encryption.
Designing RESTful APIs for Payment Gateways
A clear API layer improves developer experience and integration speed:
- Authentication APIs
- POST /api/auth/register – Register merchants and users.
- POST /api/auth/login – Generate JWT tokens.
- POST /api/auth/logout – Revoke sessions.
- POST /api/auth/register – Register merchants and users.
- Payment APIs
- POST /api/payments/initiate – Create payment intent.
- GET /api/payments/status/{id} – Retrieve transaction status.
- POST /api/payments/capture – Capture authorized funds.
- POST /api/payments/refund – Initiate refunds.
- POST /api/payments/initiate – Create payment intent.
- Merchant & Customer Management
- POST /api/merchants/create – Onboard new merchants.
- GET /api/merchants/{id}/transactions – List merchant transactions.
- POST /api/customers/add-card – Tokenize a new card.
- DELETE /api/customers/remove-card/{cardId} – Delete stored payment method.
- POST /api/merchants/create – Onboard new merchants.
- Notification APIs
- POST /api/notifications/send – Push alerts.
- GET /api/notifications/history – Fetch notification logs.
- POST /api/notifications/send – Push alerts.
To accelerate your API development skills, consider our hands‑on Crash Course that covers rapid prototyping and API best practices.
Data Model Best Practices for Transaction Systems
An optimized schema ensures data integrity and fast queries:
- Users: Stores profile, verification status, timestamps.
- Payment Methods: Tokenized card or wallet details linked to users.
- Transactions: Tracks amount, currency, status, gateway references.
- Invoices & Subscriptions: Manages billing cycles, payments, and renewals.
- Refunds: Handles partial and full refund records.
- Logs: Captures audit trails for compliance and troubleshooting.
High‑Level Microservices Architecture
Breaking the gateway into core services enhances maintainability:
User Management Service
Handles registration, KYC, authentication, and profile updates.
Ensure robust access control using OAuth and JWT tokens.
Payment Processing Service
Integrates with external processors (Stripe, Razorpay) for authorization, capture, and settlement.
Scale stateless instances behind a load balancer to meet peak TPS.
Subscription & Billing Service
Manages recurring payment plans, invoice generation, and dunning workflows.
Automate notifications for renewals and cancellations.
Notification & Logging Service
Delivers real‑time alerts via email, SMS, push, and webhooks.
Aggregate logs in centralized stores for audit and analytics.
For insights into event‑driven architectures like Netflix, review our Top Netflix DSA Interview Questions 2025 Prep Guide.
Inter‑Service Communication Patterns
Efficient communication is key to reliability:
- API Gateway: Single entry point with routing, authentication, and rate limiting.
- Message Queues (Kafka, RabbitMQ): Asynchronous processing for fraud checks and notifications.
- Service Mesh (Istio, Linkerd): Secure service discovery, traffic management, and observability.
- Event Streaming: Real‑time updates across services for payment status and subscription events.
- Webhooks: Notify external systems of transaction outcomes.
Strategies for Scaling and Optimization
- Horizontal Scaling: Add service instances to distribute load.
- Caching: Use Redis or Memcached for session data and frequently accessed records.
- Asynchronous Processing: Offload tasks like fraud analysis and invoice generation to background workers.
- Database Sharding & Replication: Partition data by merchant or region to maintain low latency.
Enhance your understanding of partitioning strategies with our Essential DSA & Web Dev Courses for Programmers.


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