Bird
Raised Fist0
HLDsystem_design~12 mins

Payment integration architecture in HLD - Architecture Diagram

Choose your learning style10 modes available

Start learning this pattern below

Jump into concepts and practice - no test required

or
Recommended
Test this pattern10 questions across easy, medium, and hard to know if this pattern is strong
System Overview - Payment integration architecture

This system handles online payment processing for an e-commerce platform. It securely accepts payment requests from users, communicates with external payment gateways, and updates order status upon successful transactions. Key requirements include security, reliability, and scalability to handle many simultaneous payments.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  v
Payment Service <--> Cache
  |
  v
Database
  |
  v
Message Queue
  |
  v
External Payment Gateway
Components
User
client
Initiates payment requests via web or mobile app
Load Balancer
load_balancer
Distributes incoming payment requests evenly across API Gateway instances
API Gateway
api_gateway
Handles authentication, routing, and rate limiting for payment requests
Payment Service
service
Processes payment logic, interacts with cache, database, and message queue
Cache
cache
Stores recent payment session data to reduce database load
Database
database
Stores persistent payment and order records
Message Queue
queue
Queues payment confirmation messages for asynchronous processing
External Payment Gateway
external_service
Third-party service that processes actual payment transactions
Request Flow - 13 Hops
UserLoad Balancer
Load BalancerAPI Gateway
API GatewayPayment Service
Payment ServiceCache
CachePayment Service
Payment ServiceDatabase
Payment ServiceMessage Queue
Message QueueExternal Payment Gateway
External Payment GatewayMessage Queue
Message QueuePayment Service
Payment ServiceCache
Payment ServiceAPI Gateway
API GatewayUser
Failure Scenario
Component Fails:Database
Impact:New payment records cannot be saved; payment status updates fail. Cached data may be stale.
Mitigation:Reads can still be served from cache; writes are retried or queued. Database replication and failover reduce downtime.
Architecture Quiz - 3 Questions
Test your understanding
Which component first handles the user's payment request after it passes through the Load Balancer?
APayment Service
BAPI Gateway
CCache
DDatabase
Design Principle
This architecture uses layered components to ensure secure, scalable payment processing. Caching reduces database load, asynchronous messaging decouples external payment processing, and load balancing ensures availability under high traffic.

Practice

(1/5)
1. Which component in a payment integration architecture is primarily responsible for securely transmitting payment data between your system and the bank?
easy
A. Payment Gateway
B. Merchant Database
C. User Interface
D. Inventory Management System

Solution

  1. Step 1: Understand the role of each component

    The Payment Gateway acts as the secure bridge that transmits payment data from your system to the bank or processor.
  2. Step 2: Identify the secure transmission responsibility

    Other components like Merchant Database or User Interface do not handle secure transmission of payment data.
  3. Final Answer:

    Payment Gateway -> Option A
  4. Quick Check:

    Secure transmission = Payment Gateway [OK]
Hint: Payment Gateway always handles secure payment data transfer [OK]
Common Mistakes:
  • Confusing Payment Gateway with Merchant Database
  • Thinking User Interface handles security
  • Assuming Inventory Management is involved in payments
2. Which of the following is the correct sequence of steps in a typical payment integration flow?
easy
A. Bank -> Payment Processor -> Payment Gateway -> User initiates payment
B. User initiates payment -> Payment Gateway -> Payment Processor -> Bank
C. Payment Processor -> User initiates payment -> Bank -> Payment Gateway
D. Payment Gateway -> Bank -> User initiates payment -> Payment Processor

Solution

  1. Step 1: Identify the logical payment flow

    The user starts the payment, which goes to the Payment Gateway, then to the Payment Processor, and finally to the Bank for authorization.
  2. Step 2: Verify the order of components

    Options B, C, and D have incorrect sequences that do not match the real-world payment flow.
  3. Final Answer:

    User initiates payment -> Payment Gateway -> Payment Processor -> Bank -> Option B
  4. Quick Check:

    Payment flow order = A [OK]
Hint: Payment always starts with user and ends at bank authorization [OK]
Common Mistakes:
  • Reversing the order of components
  • Placing Bank before Payment Gateway
  • Confusing Payment Processor and Gateway roles
3. Consider this simplified payment request flow in pseudocode:
sendPaymentRequest(userData) {
  gatewayResponse = callPaymentGateway(userData)
  if (gatewayResponse.status == 'success') {
    processorResponse = callPaymentProcessor(gatewayResponse.data)
    return processorResponse.status
  } else {
    return 'failed'
  }
}

What will be the output if callPaymentGateway returns {status: 'success', data: 'txn123'} and callPaymentProcessor returns {status: 'approved'}?
medium
A. 'txn123'
B. 'success'
C. 'failed'
D. 'approved'

Solution

  1. Step 1: Analyze the gateway response

    The gateway returns status 'success' and data 'txn123', so the if condition is true and the processor is called.
  2. Step 2: Analyze the processor response

    The processor returns status 'approved', which is returned by the function.
  3. Final Answer:

    'approved' -> Option D
  4. Quick Check:

    Processor status returned = 'approved' [OK]
Hint: If gateway success, processor status is final output [OK]
Common Mistakes:
  • Returning gateway status instead of processor status
  • Returning transaction data instead of status
  • Ignoring the else branch
4. In a payment integration system, a developer notices that payment requests sometimes fail silently without error logs. Which is the most likely cause?
medium
A. Missing error handling after calling the payment gateway
B. Using HTTPS for communication
C. Encrypting payment data before sending
D. Validating user input before payment

Solution

  1. Step 1: Identify silent failure cause

    Silent failures usually happen when errors are not caught or logged properly, indicating missing error handling.
  2. Step 2: Evaluate other options

    Using HTTPS, encrypting data, and validating input improve security and correctness but do not cause silent failures.
  3. Final Answer:

    Missing error handling after calling the payment gateway -> Option A
  4. Quick Check:

    Silent failure = Missing error handling [OK]
Hint: Silent failures mean errors are not caught or logged [OK]
Common Mistakes:
  • Blaming HTTPS or encryption for failures
  • Ignoring the need for error handling
  • Assuming validation causes silent failures
5. You are designing a payment integration system expected to handle 10,000 transactions per second. Which architectural choice best supports scalability and reliability?
hard
A. Store all payment data in a single database table without sharding
B. Process all payments synchronously in a single server to ensure order
C. Use asynchronous message queues between components and horizontally scale payment processors
D. Skip retries on failed payments to reduce load

Solution

  1. Step 1: Identify scalability needs

    Handling 10,000 TPS requires distributing load and decoupling components to avoid bottlenecks.
  2. Step 2: Evaluate architectural choices

    Asynchronous queues and horizontal scaling allow parallel processing and fault tolerance. Single server or unsharded DB cause bottlenecks. Skipping retries reduces reliability.
  3. Final Answer:

    Use asynchronous message queues between components and horizontally scale payment processors -> Option C
  4. Quick Check:

    High TPS needs async queues + horizontal scaling [OK]
Hint: Scale horizontally and use async queues for high throughput [OK]
Common Mistakes:
  • Choosing synchronous single server processing
  • Ignoring database sharding or partitioning
  • Skipping retries reduces payment reliability