How is data consistency ensured in the project?

Data consistency is ensured at multiple levels:

• Transactions and ACID: Using transactions in the database for atomic operations.
• Locking mechanisms: In Go, mutexes or channels can be used to synchronize access to shared data.
• Idempotency of operations: so that repeated calls do not lead to inconsistency.
• Eventual consistency: if a distributed system is used, it is important to understand the consistency model and apply appropriate patterns (e.g., compensating transactions).

Example in Go with mutex to protect a shared resource:

var mu sync.Mutex
var sharedData int

func updateData(val int) {
    mu.Lock()
    defer mu.Unlock()
    sharedData += val
}

It is also important to use reliable databases with transaction support and to properly design error handling logic.