AWS Infrastructure Optimization for 50% Lower Costs
An AWS infrastructure modernization helped an insurance broker improve application performance, security, and reduce server and database costs.
At a Glance
The client needed to modernize its cloud infrastructure, improve application stability, strengthen data security, and control rising server and database costs.
Industry
Insurance
Function
Cloud Infrastructure
Solution
AWS Cloud Optimization
Engagement
DevOps
The Client
The client is a US-based Medicare insurance broker offering health, dental, vision, and life insurance services. It also provides insurance subsidies to employers, individual consumers, and nonprofits.
The Challenges
Modernizing Infrastructure Without Disrupting Services
The existing infrastructure created performance, security, scalability, and cost challenges that limited the client's ability to operate and evolve its platform efficiently.
Single Cloud Environment
Hosting services within a single public cloud environment increased the impact of resource overload and made it difficult to separate production and staging workloads.
No Environment Isolation
Production and staging activities were not separated, increasing risks during testing, upgrades, and new feature releases.
Security Exposure
The existing setup relied heavily on credential protection, increasing exposure to potential security threats and data risks.
Fixed Infrastructure Costs
Infrastructure resources were not automatically adjusted based on demand, resulting in unnecessary costs during periods of lower traffic.
Complex Database Migration
The client needed to move from MariaDB to MySQL while preserving existing data and maintaining service continuity.
Modernize Your Cloud Infrastructure
Improve infrastructure security, scalability, and cost efficiency with cloud engineering and DevOps practices built around your business needs.
The Solution
A Secure and Scalable AWS Infrastructure
Maruti Techlabs took a phased approach to restructure the infrastructure, separate environments, strengthen database security, and introduce automated resource scaling.
We divided the existing infrastructure into dedicated production and staging environments. This allowed the client to test features, perform load and regression testing, and introduce upgrades without affecting the live environment.
We divided the existing infrastructure into dedicated production and staging environments. This allowed the client to test features, perform load and regression testing, and introduce upgrades without affecting the live environment.
The Journey
Legacy to Cloud
Business Outcomes
Lower Costs, Faster Performance, Stronger Infrastructure
50% Lower Infrastructure Costs
Server and database management costs decreased by 50% after infrastructure and database optimization.
300% Higher Application Performance
Application performance improved by 300% compared with previous versions.
Search Time Reduced to Under One Minute
Platform search time dropped from about eight minutes to under one minute.
Automated Resource Scaling
Aurora Serverless automatically adjusted resources based on traffic, helping the client avoid paying for unnecessary capacity during low-demand periods.
Automated Backup and Recovery
The updated environment supported automated backups and recovery processes to help protect data in the event of crashes or security incidents.
Infrastructure Alerts for Sudden Load
The system generated alerts via email and Slack when it detected sudden server load, improving visibility into infrastructure conditions.
Conclusion
The infrastructure modernization improved application performance, reduced operational costs, and strengthened the client's cloud environment.
Tech Stack
Build a More Resilient Cloud Environment
Strengthen your cloud infrastructure with secure architecture, automated operations, and cost-aware resource management.
Download Your Free Case Study Today.
Frequently Asked Questions
The existing infrastructure was divided into dedicated production and staging environments. This separation allowed development and testing without directly affecting the live production environment.
Moving the database from a public subnet to a private subnet reduced its direct exposure and provided a more controlled network boundary for database access. Application servers were given the required roles and security permissions to connect to the database.
Aurora Serverless dynamically adjusts compute capacity based on application demand. This reduced the need to maintain fixed database capacity during low-traffic periods and helped lower overall server and database management costs.
The migration followed a phased database transition. They backed up the data before moving it to the new infrastructure, then migrated it to the MySQL environment before transferring it to Aurora Serverless.
The implementation followed a phase-wise approach rather than making all infrastructure changes at once. They separated production and staging first, then restructured the network, backed up and migrated the database, and optimized the infrastructure.