Tech Mahindra Drives 15% Cost Savings for a Global Biscuit Manufacturer with AWS

Overview

The confectionery goods manufacturing industry is highly competitive, demanding scalable IT infrastructure to maintain an edge. The client, a global biscuit manufacturer, faced escalated AWS costs, threatening its IT budget and scalability. They needed an effective cost-management strategy.More

The confectionery goods manufacturing industry is highly competitive, demanding scalable IT infrastructure to maintain an edge. The client, a global biscuit manufacturer, faced escalated AWS costs, threatening its IT budget and scalability. They needed an effective cost-management strategy. Tech Mahindra addressed this challenge by implementing a cost optimization strategy focusing on Compute Savings Plans, EC2 instance optimization, and continuous monitoring.

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Client Background and Challenges

The client, the world’s second-largest biscuit manufacturer, operated 34 factories across 13 countries, serving approximately four billion consumers across 120 countries. Managing a vast business requires a highly efficient and scalable IT infrastructure. The client faced significant challenges in this pursuit:

  • The client required a robust infrastructure to manage complex operations across multiple geographies.
  • Cost-effective solutions were needed to optimize IT expenditure while maintaining high performance.
  • Ensuring the security and stability of applications was critical to guarantee business continuity and data integrity.

Our Approach and Solution

Scalable and Secure Infrastructure

Leveraged AWS cloud capabilities to provide a robust, scalable, and secure infrastructure tailored to the client’s dynamic business needs.

Cost Optimization and 24/7 System Availability

Designed and implemented a comprehensive cost management strategy to reduce expenses while ensuring round-the-clock system availability with no performance compromises.

Optimal Resource Utilization

Enabled continuous monitoring and dynamic adjustments to optimize resource usage and maintain peak operational efficiency.