Establishing Storage-First Compliance and Recovery for Ayan Analytics on AWS

Solution Delivered

Infimatrix implemented a comprehensive AWS-native Backup and Restore solution for Ayan Analytics, delivering a secure, automated, and regulation-ready backup environment while integrating Veeam only as an orchestration layer. The solution leveraged Amazon S3, AWS Backup, and AWS-native storage services to manage the full backup lifecycle: data capture, immutability, tiered storage, automation, cross-region replication, monitoring, and restore validation.

To ensure data immutability and regulatory compliance, backup data was stored in Amazon S3 buckets configured with Object Lock in compliance mode and S3 Versioning enabled. Backups were encrypted using SSE-KMS with customer-managed keys, and access was controlled via fine-grained IAM roles, S3 bucket policies, and AWS Config rules that continuously validated enforcement of encryption, object lock, and lifecycle policies.

AWS-native lifecycle policies were used to automate tiered storage transitions, for effective retention management. Active data remained in S3 Standard, data older than 180 days automatically transitioned to S3 Glacier Flexible Retrieval, and data older than 365 days moved to S3 Glacier Deep Archive. This tiered approach reduced long-term storage costs by over 25%, while maintaining compliance and restoring integrity.

Veeam Backup & Replication served as a backup orchestration layer, automatically initiating daily backup jobs for Amazon EC2, Amazon RDS, and structured outputs like BOD/EOD transaction logs storage. It facilitated automatic discovery and scheduling for new workloads but did not govern retention or lifecycle. Backup verification ensured job integrity after each run, while S3 and AWS Backup handled the actual storage, lifecycle enforcement, and policy compliance.

Point-in-time recovery (PITR) for Amazon RDS utilized AWS-native automated backups with Veeam Backup for AWS deployed to manage and orchestrate the lifecycle of these native snapshots and perform recovery testing, enabling rollback of structured financial data and integration into regular test drills.

Monitoring and compliance were embedded throughout the storage stack. AWS CloudTrail captured all API activity, while AWS Config continuously verified encryption, versioning, and lifecycle rule compliance. CloudWatch alarms and SNS notifications alerted on backup failures, misconfigurations, or missed recovery points. Veeam dashboards provided operational visibility, but all policy enforcement, retention, and lifecycle compliance were managed through AWS-native services.

The architecture scaled elastically, with tag-based automation driving lifecycle transitions, backup scheduling, and policy application. Newly provisioned workloads were automatically discovered by Veeam and directed to S3 buckets with pre-configured lifecycle and compliance policies. All backups were version-tracked, retention enforced at the AWS level, and restore checkpoints fully auditable.

To support secure external access for compliance reports and applications, Amazon CloudFront was deployed in front of reporting interfaces, providing low-latency delivery and reduced origin load during audit periods. AWS WAF inspected traffic to block threats at the edge. TLS in transit, SSE-KMS encryption at rest, IAM policies, and AWS Config validations ensured the entire backup environment remained secure, compliant, and performant.

This AWS-native, storage-first solution gave Ayan Analytics a secure, fully automated, regulation-compliant backup and disaster recovery environment. Manual intervention was minimized, SEBI compliance was achieved, cross-region disaster recovery was validated, and long-term storage costs were optimized — all while leveraging Veeam solely for orchestration and discovery, with S3 Lifecycle rules for lifecycle management.