How Vananam optimized AWS Costs and achieved over 14% Savings in just two weeks with OneLens

About Vananam

Vananam is a dynamic conglomerate committed to transforming traditional businesses across diverse industries, including Transit Retail, Real Estate, Rewards & Loyalty, Fashion & Lifestyle, and Agro-foods.  

One of Vananam’s key ventures, Vananam Rewards, is a digital platform designed to strengthen business-customer relationships. It offers businesses a wide range of reward and gift options to enhance customer loyalty and satisfaction, supported by a global catalogue, seamless delivery, and international payment options.

Vananam Rewards also provides comprehensive reward systems for employees and channel partners, offering services such as Employee Reward and Recognition Programs, Channel Partner Engagement Strategies, and Customized Consumer Loyalty Initiatives.

Rooted in the principles of community development and sustainability, Vananam's mission is to drive both economic and social prosperity in Bharat.

Throughout this case study, any mention of Vananam specifically refers to Vananam Rewards, the company’s rewards and loyalty platform

Context

Vananam is a bootstrapped company with a team of 400 people, including 20 engineers. They use a multi-cloud setup, and in AWS, their major spending is on EC2, RDS, and S3 services. One of their key goals is to optimize cloud costs as they continue to grow.

Challenges

Vananam was running out of AWS credits, and although cloud cost optimization was important, most of their time went into product development and deployment, leaving no room to plan or execute a clear cost optimization strategy.  

Also, the team had already acted on the cost-saving opportunities they could identify. So, finding new opportunities for savings became a challenge.

Solution

To address Vananam  in cloud cost optimization, OneLens provided actionable insights across their AWS resources. Key cost-saving recommendations included:

• ElastiCache: Identified replicas with zero reads, leading to the deletion of unused nodes.

• RDS: Detected underutilized standalone RDS DB instances, resulting in rightsizing to improve efficiency.

• EBS: Found unattached EBS volumes and recommended deletion to eliminate unnecessary costs.

• EBS (gp3): Suggested shifting general-purpose EBS volumes to gp3 type for cost savings.

• RDS (Graviton): Recommended transitioning standalone RDS DB instances to Graviton processors for better performance at a lower cost.

• VPC (Elastic IPs): Highlighted unused Elastic IPs and Elastic IPs attached to stopped EC2 instances for deletion.

• EC2: Recommended scheduling pauses for idle On-Demand EC2 instances to reduce costs during periods of inactivity.

These recommendations provided Vananam with quick wins as well as long-term strategies to ensure continued cost optimization.

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