Have you had problems storing a large volume of idempotency keys?

Yes, when storing a large volume of keys, idempotency issues can lead to performance and memory management problems, especially if keys are stored in memory or in a database without cleanup.

Main challenges:

• Growth of storage volume, which can slow down read/write operations.
• The need for timely deletion of outdated keys to prevent storage overflow.
• Possible collisions or duplication of keys.

Solutions include:

• Storing keys with TTL (time to live) so they are automatically deleted.
• Using fast in-memory stores, such as Redis with key expiration settings.
• Optimizing key formats and data structures.

For example, in Redis, you can store idempotency keys with the command SET key value EX 3600 NX, which automatically deletes the key after an hour.