What methods and approaches do you use to prevent or eliminate data overflow in Redis?

The following methods are used to prevent data overflow in Redis:

• Setting eviction policy: Redis allows you to specify what to do when the memory limit is reached (e.g., delete the least used keys).
• Memory limits: The maxmemory configuration can be used to limit the amount of memory used.
• Using TTL (time-to-live): keys can be assigned a lifespan after which the data is automatically deleted.
• Monitoring and alerts: tracking memory usage and issuing warnings when approaching limits.

Example of setting TTL in Go using the go-redis client:

err := rdb.Set(ctx, "key", "value", 10*time.Minute).Err()
if err != nil {
    // handle error
}