In general, the company sometimes uses unregistered functions in database, which significantly improvesperformance, but does not leave the possibility of recovery except for backup. That is, actions must be performedimmediately after passing the session. A queue problem is likely to cause data loss and downtime of about aweek. In modern conditions, this can lead to the bankruptcy of the company. It can be seen that backup systemshave been installed and configured, but despite this, they have not succeeded in restoring within the time framespecified in the SLA. In this study, a secured database monitoring method was proposed to improve data backupand recovery operations in cloud computing. In this proposed method, the backup speed is directly proportionalto the amount of data, while having at least 30% annual data growth. In 3–4 years, the data at least doubled, butfor some companies, this number is even higher, while the backup speed does not change. Those terms and thoseSLAs that were relevant 3–4 years ago now need to be at least doubled. At the same time, business requirementsfor data recovery (recovery point objective/recovery time objective) continue to grow.