Dynamic Checkout Rate-Limiting via Authorization Capture Separation
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Solution Overview
Problem
Transaction processing systems face high load conditions leading to failed transactions due to exceeding payment throughput limits at external payment processors, resulting in inefficiencies and reduced capacity during high-volume events like flash sales.
Innovation Solution
Implementing a dynamic switching mechanism between full and partial checkout processes based on detected throughput limit events, where the authorization operation is completed immediately, and the capture operation is delayed until a second throughput limit event is detected, allowing for continued processing without overwhelming the payment processor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system processes all transactions at full speed through external payment processors, then transaction throughput is maximized, but the likelihood of failed transactions increases when exceeding payment processor limits
Solution Approach 1:
The system dynamically adjusts transaction processing behavior based on detected throughput limit events. When a throughput limit event is detected, the system transitions from completing both authorization and capture operations to completing only authorization operations and queuing capture operations. This dynamic adaptation allows the system to maintain high throughput while avoiding failures caused by exceeding payment processor limits.
Solution Approach 2:
The system performs authorization operations in advance and queues capture operations for later processing. By separating the authorization step from the capture step and processing them at different times based on system conditions, the system ensures that authorization is completed immediately to maintain throughput, while capture is delayed to avoid overwhelming the payment processor and causing failures.
2Reliability
If the system delays capture operations to avoid throughput limits, then transaction failure rate decreases, but processing time for individual transactions increases
Solution Approach 1:
The system performs the authorization operation immediately as a preliminary action, allowing the transaction to proceed without delay. The capture operation is then queued and executed later when payment processor capacity is available. This separation ensures that the critical authorization step is not delayed, maintaining perceived transaction speed, while the capture step is deferred to avoid system overload.
Solution Approach 2:
The transaction processing is segmented into two distinct phases: authorization and capture. By dividing the transaction into these separate operations that can be executed at different times, the system reduces the time impact on users (who experience immediate authorization) while still managing load effectively through delayed capture operations.
3Ease of operation
If the system processes transactions immediately without rate limiting, then customer experience is maintained, but external payment processors become overwhelmed leading to system-wide failures
Solution Approach 1:
The system completes the authorization operation immediately, providing immediate feedback to customers and maintaining a smooth user experience. The capture operation is then queued for later processing, allowing the system to manage load on external payment processors without requiring customers to wait or experience failures. This preliminary completion of the critical authorization step decouples customer experience from backend processing capacity.
Solution Approach 2:
The queued capture operations act as an intermediary buffer between the customer-facing authorization process and the external payment processor. This queue absorbs the shock of high transaction volumes, preventing system-wide failures while maintaining excellent customer experience during the authorization phase.
Data Source
AI summary
A computer-implemented system and method of dynamically switching between a full checkout process and a partial checkout process based on a payment processor load condition. An e-commerce platform may receive checkout requests in connection with a merchant account and may complete, for each of at least one of the checkout requests, an authorization operation and a capture operation via a payment processor. If the platform detects a first payment throughput limit event with regard to the payment processor then it completes a respective authorization operation for each new checkout request, and delays a respective capture operation for the new checkout request until after a second payment throughput limit event is detected.