Case Study

Boosting Application Performance by 40% with Amazon RDS and ElastiCache Integration for Faster Query Response

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Industry 

Political Organization

Expertise 

Amazon RDS, Amazon S3, Amazon EC2, Amazon VPC, AWS IAM

Offerings/solutions 

Providing scalable, high-performance database solutions with enhanced efficiency and cost savings.

About the Client

The client is a political organization that employs over 10000+ people and focuses on national development. The Organization has successfully led the national government on multiple occasions and maintains a robust presence across various state legislatures in India.

Highlights

99.99%

Uptime

40%

Boosted Performance

RTO of under 5 minutes

Reduced latency

The Challenge

The customer struggled with database performance and scalability, facing high latency, transaction delays, and downtime during peak traffic. Their single-instance setup lacked scalability, leading to performance bottlenecks and data loss risks without defined RTO/RPO. Managing databases across multiple environments increased costs, and integrating performance-enhancing technologies was challenging due to inefficient architecture.

Solutions

• Migrated to Amazon RDS with Multi-AZ deployments for high availability and low RTO/RPO.
• Enabled read replicas to improve scalability and offload read traffic.
• Integrated ElastiCache for Memcached to reduce database load and improve response time.
• Used Amazon EFS for centralized application data storage across availability zones.
• Implemented automated backups and point-in-time recovery for data protection.
• Tuned database performance using parameter and subnet groups in multi-AZ setups.
• Leveraged Performance Insights to identify and resolve database bottlenecks.
• Managed storage costs with lifecycle policies for snapshots.
• Secured databases with AWS KMS encryption and controlled access using IAM roles.
• Monitored performance and compliance through Amazon CloudWatch and AWS Config.

The Results

Achieved high availability, enhanced scalability, and 99.99% uptime by leveraging Multi-AZ deployments, automated backups, and caching while improving response times by 40% and reducing operational costs.

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