Capacity Estimation for UPI System Design

Below is the capacity estimation for UPI system design:

  • Traffic Estimate
    • Users: 100 million users
    • Daily Active Users (DAU): 10 million users
    • Transactions per User per Day: 5 transactions
    • Total Transactions per Day: 50 million transactions
  • Storage Estimate
    • Average Transaction Size: 500 bytes
    • Daily Data: 50 million * 500 bytes = 25 GB
    • Monthly Data: 25 GB * 30 = 750 GB
    • Yearly Data: 750 GB * 12 = 9 TB
  • Bandwidth Estimate
    • Request Size: 1 KB
    • Response Size: 1 KB
    • Total Requests per Day: 50 million
    • Total Data per Day: (50 million * 2 KB) / (1024 * 1024) = ~95 GB
  • Memory Estimate
    • Active Users Cached: 1 million
    • Data per User: 1 KB
    • Total Memory: 1 million * 1 KB = 1 GB

Designing UPI – System Design

Designing a Unified Payments Interface (UPI) system involves creating an architecture that enables real-time inter-bank transactions through a seamless and secure platform. Key components include user interfaces, a central UPI switch managed by the National Payments Corporation of India (NPCI), backend systems of participating banks, and third-party service providers.

  • The system supports core functionalities such as user registration and authentication, payment initiation and authorization, inter-bank transaction processing, and real-time settlement.
  • Security measures like encryption and multi-factor authentication ensure compliance and protect against fraud, making UPI a reliable and efficient payment solution.
  • The UPI is a real-time payment system that facilitates inter-bank transactions by instantly transferring funds between two bank accounts on a mobile platform.

Important Topics for UPI system design

  • Functional Requirements for UPI System Design
  • Non-Functional Requirements for UPI System Design
  • Capacity Estimation for UPI System Design
  • High-Level Design(HLD) for UPI System Design
  • Low-Level Diagram(LLD) for UPI System Design
  • Microservices Used in UPI System Design
  • Scalability for UPI System Design

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Functional Requirements for UPI System Design

Below are the functional requirements for UPI system design:...

Non-Functional Requirements for UPI System Design

Below are the non-functional requirements for UPI system design:...

Capacity Estimation for UPI System Design

Below is the capacity estimation for UPI system design:...

High-Level Design(HLD) for UPI System Design

A high-level diagram for a UPI system provides an overview of the main components and their interactions. At the top layer, users interact with UPI through mobile applications or web interfaces provided by banks or third-party service providers (e.g., Google Pay, PhonePe). These interfaces connect to the UPI service, a centralized system managed by the National Payments Corporation of India (NPCI)....

Low-Level Diagram(LLD) for UPI System Design

A low-level diagram for a UPI system illustrates the detailed interaction between its core components. At the user level, we have mobile apps and web interfaces that allow users to register, authenticate, and initiate transactions. These interfaces communicate with the UPI service through APIs, which are crucial for handling requests and responses....

Microservices Used in UPI System Design

Below are some microservices used in UPI System Design:...

Scalability for UPI System Design

Horizontal Scaling: Microservices Architecture: Each service can be scaled independently based on demand. Load Balancing: Distribute incoming requests across multiple instances. Caching Redis: Use Redis to cache user sessions, frequently accessed data, and transaction states. Database Sharding Shard by User ID: Distribute user data across multiple database instances to reduce load. Asynchronous Processing Message Queues: Use message queues (e.g., RabbitMQ, Kafka) to handle asynchronous tasks like notifications and transaction processing. Fault Tolerance Circuit Breaker Pattern: Implement circuit breakers to prevent cascading failures. Retry Mechanism: Retry failed operations to handle transient failures....

Conclusion

Designing a UPI system requires careful consideration of both functional and non-functional requirements. By leveraging a microservices architecture, implementing caching, and ensuring fault tolerance, the system can efficiently handle a large number of users and transactions. Scalability is achieved through horizontal scaling, load balancing, and database sharding, ensuring the system remains performant and reliable even under high load....