Case Study

Strategic Database Migration to Aurora Serverless to Enable Scalability, Reliability, and Business Continuity

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Industry 

Oil and Gas Industry

Expertise 

AWS DMS, Amazon S3, Amazon CloudWatch, AWS CloudTrail, AWS IAM

Offerings/solutions 

Seamless migration with minimal downtime, enhanced monitoring, and scalability.

About the Client

The oil and gas industry drives India’s energy security and economic growth, specializing in refining, fuel marketing, and expanding natural gas and renewable energy. It supports energy access nationwide and contributes to education, healthcare, and sustainability initiatives for a more resilient India.

Highlights

Migrated 400 Tables

Zero Downtime Data Migration

Analyzing 6.6 GB of DMS Logs

Advanced Aurora Monitoring

Handles 143 Million Daily Requests

Scalable Infrastructure

The Challenge

The oil and gas industry faced the challenge of managing large datasets, improving application performance, and migrating from Oracle to AWS Aurora PostgreSQL with minimal downtime and data integrity, while replacing legacy services with cloud-native solutions to ensure scalability, high availability, and reduced operational complexity for future growth.

Solutions

• Designed a scalable, efficient, and resilient architecture for modernization.
• Established a secure VPN between on-premises and Amazon VPC for encrypted data transfer.
• Set up Amazon DMS endpoints for seamless and error-free data migration.
• Used AWS DMS with CDC to replicate live data changes, ensuring near-zero downtime.
• Mapped Oracle schema to PostgreSQL and refined stored procedures, functions, and constraints.
• Migrated applications to Amazon EKS, utilizing Kubernetes for scalability and security, with private subnet hosting and CloudWatch monitoring.

The Results

Achieved seamless data migration to Aurora Serverless with minimal downtime, enhanced monitoring, and scalable infrastructure, handling 143 million daily requests with optimized efficiency.

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