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27% AWS Cost Reduction Through Database Optimization for a Fintech Platform
A prominent digital financial services provider in India, this fintech giant serves over 50 million users with mobile recharges, bill payments, and digital wallet solutions, positioning itself as a leader in the finance sector.
The Problem Statement
The client's AWS expenditure had surged to $150,000, necessitating urgent cost optimization. Inefficiencies in compute resources, storage, and database configurations led to increased operational costs, while manual tasks and outdated systems further complicated the infrastructure and impacted performance.
Challenges
The client's AWS infrastructure faced inefficiencies due to outdated and over-provisioned compute resources and storage configurations, increasing operational costs.
Manual and repetitive infrastructure and database tasks consumed significant time and resources, leading to inefficiencies and operational bottlenecks.
Unused resources, such as unattached EBS volumes and obsolete snapshots, cluttered the infrastructure and increased costs.
The client's outdated MySQL 5.7 systems increased maintenance costs and lacked modern features, requiring upgrades to enhance performance and reduce support expenses.
Inadequate backup strategies and disaster recovery setups posed risks to data availability and resilience, potentially leading to data loss and extended downtimes.
Solutions
To tackle these challenges, they needed a robust database engineering framework to enhance system performance, optimize resource utilization, and eliminate operational inefficiencies.
Outcomes
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