How did you solve the data desynchronization problem during migration between storages?

During data migration between storage systems, desynchronization occurs due to delays, errors, or format mismatches. To handle this, I used the following approaches:

• Bidirectional synchronization with checkpoints: data is migrated in batches, with integrity and consistency checked after each batch.
• Use of transactions and change logs: to track changes in the source storage during migration.
• Idempotent operations: to ensure that repeated migration attempts do not lead to duplication.
• Intermediate caching and queues: for buffering data and ordering operations.

An example in Go: to track migration progress, you can use a structure with a mutex and a counter to ensure that data is not lost or duplicated.