Large Consumer Goods Company Improves Cost & Agility with AWS

Customer Profile 

Region: Asia Pacific

Industry: Consumer Goods

Customer: Wipro

AWS Migration and Modernization Competency

The Challenge – Scalability limitations, cost inefficiencies, and operational complexities

The client’s on-premises infrastructure, consisting of 467 hosts and 285 applications, faced significant challenges that hindered the company’s growth and innovation. The existing setup struggled to meet growing business demands, and the high operational costs associated with maintaining and upgrading hardware and software were becoming unsustainable. Additionally, managing a diverse and expansive IT landscape limited agility and complicated operations.

  • Scalability: The existing setup struggled to meet growing business demands.
  • Cost Inefficiencies: High operational costs were associated with maintaining and upgrading hardware and software.
  • Operational Complexities: Managing a diverse and expansive IT landscape hindered agility and innovation.

The Solution – Comprehensive migration to AWS with tailored strategies for cost and resource optimization

Wipro, leveraging Matilda Cloud’s Discovery and Migrate tools, conducted a thorough assessment of the client’s IT landscape. This assessment provided insights into application dependencies, resource utilization, and potential migration paths. Based on these findings, Wipro developed a tailored migration plan that included application categorization, right-sizing, and database migration strategies. The migration was executed in phases to ensure minimal disruption to the client’s operations, followed by post-migration optimization exercises.

  • Application Categorization: Classified applications into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Retain (for on-premises).
  • Right-Sizing: Identified opportunities to optimize resource allocation on AWS, potentially reducing annual costs by over 40%.
  • Database Migration: Devised strategies for migrating 109 databases, primarily Microsoft SQL Server, to AWS database services.
  • Cost Optimization: Implemented cost-saving measures such as right-sizing instances and utilizing reserved instances.

Results

  • Cost Reduction: Achieved substantial cost savings by eliminating the need for on-premises hardware and optimizing resource utilization on AWS.
  • Improved Scalability: AWS’s elastic infrastructure allowed the client to scale resources dynamically, ensuring optimal performance and cost-efficiency.
  • Simplified Operations: Reduced the complexity of managing on-premises infrastructure, freeing up IT resources for strategic initiatives.
  • Enhanced Agility: Enabled rapid deployment of new applications and services, fostering innovation and responsiveness to market changes.