Accelerated Petabyte-scale PB Data Migration to AWS with Intelligent Task Orchestration

Location

United Kingdom

Client

The customer is a UK-based financial market infrastructure provider delivering trading, clearing, and market data services to global financial institutions.

Challenge

The customer needed to migrate massive datasets to AWS while meeting a strict 6-month project completion deadline and ensuring cost efficiency. Large-scale migrations introduced significant complexity, requiring detailed planning, infrastructure provisioning, and post-migration validation. Manual configuration of AWS DataSync agents and task definitions added operational overhead, while the lack of automation for scaling, orchestration, and task recovery increased risk and resource strain. Limited flexibility in task queuing and migration wave management further complicated execution. These challenges resulted in higher costs, reduced efficiency, and diverted critical resources from core business operations.

Partner Solution

To overcome the complexity of large-scale data migrations, the customer developed a custom migration framework leveraging AWS services. At its core, the framework uses AWS DataSync as the primary engine for secure, high-speed data transfers across diverse storage environments, including object storage, and Amazon S3.

The framework automates critical phases of the migration process:

Metadata Discovery to generate optimized migration plans based on source characteristics and business objectives.
Infrastructure Provisioning by deploying and scaling on-demand DataSync agents across multiple Availability Zones for performance and cost efficiency.
Task Generation and Orchestration, including automated scheduling, retries, and error handling to ensure reliability and optimal data transfer time.
Monitoring and Reporting through a unified console, offering real-time alerts and comprehensive validation reports.

By combining AWS DataSync for data transfer, and custom automation for orchestration and scaling, the solution reduced manual intervention, improved reliability, and delivered a secure, efficient migration aligned with business goals.

Results and Benefits

The solution successfully addressed the customer’s primary challenge of executing a complex, high-volume cloud migration within strict time and reliability constraints. Petabytes of data were migrated from a third-party cloud to Amazon Web Services in less than six months, fully in line with the original plan. The migration was completed with zero data loss, and 100% of datasets were validated using custom eTag-based integrity checks, ensuring complete confidence in data accuracy and consistency. Across the migration period, the platform consistently maintained over 99% system uptime, while achieving an average baseline throughput of approximately 1 PB per day during active migration sessions.

From an operational perspective, the use of native AWS orchestration and data transfer services enabled a highly automated and resilient migration process. More than 95% of migration tasks were executed without manual intervention, significantly reducing operational overhead and human error risk. On-demand scaling of migration agents sustained utilization rates above 85%, maximizing throughput while avoiding idle capacity. Built-in retry and re-run mechanisms improved repeatability and reliability, allowing the customer to safely recover from transient failures without impacting the overall schedule or data integrity.

The solution also delivered measurable cost, security, and governance benefits. Compute resources were right-sized and managed with automated start/stop policies, resulting in over 70% reduction in compute costs compared to a static deployment model. Storage lifecycle and tiering policies further optimized long-term costs for cold datasets. From a compliance standpoint, all transfers were encrypted in transit, operated with least-privilege access, and isolated within private networking constructs, leading to zero security or compliance incidents during the migration. Together, these outcomes demonstrate how a well-architected AWS-native approach can combine scale, speed, cost efficiency, and strong governance in large-scale data migration programs.

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