
Case study
At Finecons, we architect and deploy secure, scalable, and cost-efficient storage solutions on AWS, tailored to meet the evolving needs of modern enterprises. Our expertise enables businesses to manage exponential data growth, maintain high availability, and significantly optimise operational expenditure. Presented below are two recent client success stories that underscore our proven capabilities in AWS Storage transformation.
Client Success Portfolio
Our Client Success Portfolio showcases real-world engagements where we have delivered measurable value
through secure, scalable, and innovation-driven IT solutions.

About the Customer:
Naturals Groom India operates over 500 outlets nationwide, serving millions of customers. The company needed a modern storage solution to handle POS transactions, loyalty program data, and analytics across retail locations.
Business Challenge:
- Legacy on-premises infrastructure caused latency during peak shopping hours.
- Limited storage scalability created bottlenecks for transactional and loyalty data.
- High risk of data loss or downtime, impacting revenue and customer satisfaction.
AWS Solution:
We implemented a fully AWS-native architecture focusing on Primary Storage and Archival
- Amazon S3 for centralised storage of POS and loyalty data, with Intelligent-Tiering and
Glacier lifecycle policies for archival and cost optimisation - Amazon RDS (PostgreSQL) Multi-AZ for transactional databases with automated
backups and high availability. - EC2 instances for analytics workloads and API services.
- AWS Lambda & API Gateway for server less, real-time processing of retail transactions.
- VPC, Security Groups, and NACLs to enforce network segmentation and traffic control.
- CloudFormation templates and CI/CD pipelines for automated, repeatable deployments.
- CloudWatch & SNS for monitoring database performance, application metrics, and
alerting.
Technical Highlights:
We implemented a fully AWS-native architecture focusing on Primary Storage and Archival
- Multi-AZ architecture ensures high availability and automatic failover for critical workloads.
- Lifecycle policies in S3 automatically transition cold data to Glacier, reducing storage
costs. - Auto Scaling groups for EC2 handle peak demand during high-traffic periods.
- Encryption in transit (TLS 1.2) and at rest (KMS-managed keys) protects sensitive customer
data
Measurable Outcomes:
We implemented a fully AWS-native architecture focusing on Primary Storage and Archival
- Transaction latency reduced from 200 ms → 50 ms.
- Storage costs decreased by 35% through tiered storage and lifecycle policies.
- Operational resilience: High availability maintained during peak hours with zero downtime.

About the Customer:
Ecosoft Zolution is an IT services company supporting 200+ SMB clients in finance, retail, and logistics. They needed a robust solution for project data, code repositories, and internal system backups.
Business Challenge:
- Frequent storage bottlenecks on legacy systems.
- Backup failures and inconsistent recovery processes risked data loss.
- Difficult collaboration for distributed teams due to decentralised storage
AWS Solution:
Our solution focused on Backup and Archival using AWS-native services:
- Amazon S3 as a central project repository with Glacier for long-term archival.
- Amazon RDS (MySQL/PostgreSQL) with automated Multi-AZ backups for internal .
applications. - Amazon EBS for EC2-based development environments.
- AWS Backup to automate snapshot scheduling and ensure consistent recovery points
- CloudWatch & SNS to monitor storage metrics, backup success, and trigger alerts.
- IAM roles & AWS SSO for secure access management, ensuring least-privilege permissions.
Technical Highlights:
- CloudFormation templates automate provisioning of all resources for repeatable and
predictable deployments - Lifecycle policies in S3 automatically transition cold data to Glacier, reducing storage
costs. - Encryption at rest (KMS) and in transit (TLS 1.2) secures all storage and application data.
- Backup success rate increased to 100%, ensuring reliable disaster recovery readiness.
- Lifecycle policies automate archival, reducing manual storage management overhead
Measurable Outcomes:
- Backup success rate: Improved from 70% → 100%.
- File access latency: Reduced by 50%, improving team collaboration.
- Operational efficiency: Storage management overhead significantly reduced.