AI BriefingIssues and Solutions a Junior Server Developer Faced While Developing a User-Facing Service
Key point
While developing KakaoPay's benefits service, concurrency, DB performance, and idempotency issues were resolved using Redis distributed locks and other methods.
Details
This covers the concurrency, DB performance, and idempotency issues encountered while developing KakaoPay's benefits services (Quiz Time, Pay Raffle, etc.) and their solutions.
The main issue, concurrency issue (double-tap issue), is a problem where duplicate clicks by a user risk duplicate payment of Pay Points. To solve this, a Distributed Lock using Redis (Lettuce) was implemented at the application level.
The reason distributed locks were chosen over DB pessimistic locks is for ease of maintenance and to prevent resource waste through Fail-fast at the Controller level. The implementation used a Spin Lock approach leveraging Redis's SETNX command.
- LockManager: Performs the role of setting and releasing locks by storing keys in Redis.
- RedisLockUtil: A utility that executes business logic within the lock scope and releases the lock after the task is complete.
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