35+ PB of Seismic Data Migrated to AWS for Greater Efficiency

EXECUTIVE SUMMARY

To overcome legacy system limitations, a leading energy data provider turned to EPAM for help in building a secure, cloud-native data platform on AWS. The solution established a centralized storage architecture that improved scalability, strengthened data governance and increased operational efficiency.

STRATEGIC PARTNER

Amazon Web Services (AWS)

SERVICES

Cloud, Cloud Data Migration

INDUSTRY

Energy & Resources

RESULTS

35+

Petabytes of seismic data migrated to AWS

THE CHALLENGE

A global leader in seismic data faced significant limitations with its legacy cloud and on-premises solution, which lacked the scalability and operational efficiency to support its growing business. The need to manage vast volumes of seismic data, combined with cost pressures, made migration to a modern cloud data management solution a clear priority.

The client required a more robust approach to data quality, metadata management and compliance to keep its data assets accurate, secure and well-governed. More seamless integration with advanced analytics and visualization tools would also help the company unlock greater value from its data and drive innovation across its operations.

The client selected AWS as its cloud provider for its flexibility, performance and cost-effective data archiving capabilities. As an AWS Premier Tier Services Partner, EPAM brings years of experience working with AWS to build next-gen solutions for leading companies across sustainable energy, petroleum, power and services. EPAM worked together with AWS to deliver a secure, scalable, cloud-native platform that provides enhanced scalability and resiliency for the client.

THE SOLUTION

The journey began by building a strong AWS foundation to establish governance, security and scalable storage architecture. Once the foundation was stable, the team moved to a dual-phase migration.

Phase 1: Building the Foundation

Built a new AWS landing zone with centralized governance and security
Migrated both the compute plane and PostGreSQL database to AWS to enable execution of data management frameworks and job log tracking, respectively
Established Amazon S3 as the central storage layer for cross-account replication and data staging
Enabled performance benchmarking and storage optimization for efficient workload execution

Phase 2: Scaling for Success

Migrated 35PB+ of seismic data to AWS
Enabled seamless data ingestion, processing and delivery
Leveraged S3 for central storage and Glacier for cost-effective archiving
Ensured continuity and scalability for the future

Phase 1: Building the Foundation

Built a new AWS landing zone with centralized governance and security
Migrated both the compute plane and PostGreSQL database to AWS to enable execution of data management frameworks and job log tracking, respectively
Established Amazon S3 as the central storage layer for cross-account replication and data staging
Enabled performance benchmarking and storage optimization for efficient workload execution