
Maintaining the integrity of massive datasets across a global cloud infrastructure requires more than just scheduling scripts; it demands a sophisticated approach to resolving the silent failures that inevitably occur. In modern cloud architectures, AWS Backup serves as a vital safeguard, centralizing data protection across hundreds of accounts and dozens of services. However, at this massive scale, the sheer volume










