There are three major areas where Nimesa Backup and Recovery for AWS can be improved: infrastructure as code integration, predictive AI analytics, and data compression. Currently, we construct our automated landing zones using IaC, but we still have to jump into Nimesa Backup and Recovery for AWS UI afterwards to manually configure the application backup groups and policies. Being able to declare all our backup schedules directly inside our Terraform code would streamline our automation pipelines massively. In terms of predictive AI reporting, it needs to be more reliable. While it executes scheduled backups perfectly, it lacks proactive anomaly detection. We want the AI agent to accurately predict and flag a potential backup failure or snapshot timeout before the job actually triggers and fails. This would save our DevOps team tons of triage time.
