BP all-in on AWS for its European mega data centers
Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that BP, a leading global energy business, is closing its European mega data centers and migrating all data and 900 key applications currently hosted there to AWS, as part of a company-wide program to accelerate the digitization of its infrastructure and operations.
The two European mega data centers, the largest that BP operates globally, host data from across all BP’s businesses. Moving to AWS enables BP to use a broad and deep portfolio of cloud services, including machine learning, analytics, storage, security, databases, and compute to gain greater insights and automate processes.
The data center migration expands upon BP’s existing relationship with AWS, which has helped the organization to improve operational efficiencies, eliminate upfront capital expenditures, and quickly adapt to market changes. In its global Downstream business, BP’s refineries run AVEVA Unified Supply Chain (previously Spiral Suite) software, a crucial decision-making analytics platform, on AWS. By deploying AVEVA Unified Supply Chain on AWS, a problem that with legacy solutions would have required seven hours of calculation time can now be performed in less than four minutes.
BP has also successfully migrated approximately half of its 65 business critical SAP production environments to AWS, which has improved system performance and integrity.
With this success, the company now plans to accelerate the migration of additional SAP applications to AWS. In addition, BP is creating a data lake on Amazon Simple Storage Service (Amazon S3), for use across its businesses, and will use Amazon Kinesis, a service that enables organizations to easily collect, process, and analyze real-time, streaming data, to gain timely insights for its emissions monitoring and gas station pump operations.
With this information and leveraging Amazon SageMaker, a machine learning (ML) service that provides organizations with the ability to build, train, and deploy ML models quickly, BP will be able to make predictions that will help the energy company make faster business decisions and drive efficiencies.
Moving forward, BP aims to continue to advance its cloud-first enterprise data strategy to significantly improve its supply-chain operations and deliver advanced Internet of Things (IoT) solutions for increased safety, predictive maintenance, corrosion detection, logistics tracking, and intelligent assistance.