Veeam Backup & Replication + vCloud Air Offsite backup for private, public and hybrid cloud architectures

whitePaper | November 26, 2019

Both inside and outside of the classroom, cloud computing can reduce the cost of delivering an exceptional educational experience. In 21st century higher education, technology is a fundamental strategic resource, instrumental to driving your school in fulfilling its mission. To meet modern expectations, you must create a personalized digital experience for all constituents. Implementing and supporting hardware and software that constantly adapts to the needs of faculty, students, administration, and alumni is essential. Cloud computing creates a collaborative, interactive environment where information is available at any time, in any place, on any device. The ease of rolling out cloud-based applications simplifies operations and the cost benefits are often compelling.

whitePaper | November 26, 2019

The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.

whitePaper | August 12, 2021

This whitepaper discusses architecture considerations and recommended practices that IT managers and system architects can apply to build highly available on-premises application environments with AWS Outposts. This paper is intended for IT managers and system architects looking to deploy, migrate, and operate applications using the AWS cloud platform and run those applications on premises with AWS Outposts. It introduces the architecture patterns, anti-patterns, and recommended practices for building highly available systems that include AWS Outposts. You will learn how to manage your AWS Outposts capacity and use networking and data center facility services to set up highly available AWS Outposts infrastructure solutions. AWS Outposts is a fully managed service that provides a logical pool of cloud compute, storage, and networking capabilities. With Outposts, customers can use supported AWS managed services in their on-premises environments, including: Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), Amazon Simple Storage Service on Outposts (Amazon S3 on Outposts), and other AWS services on Outposts. Services on Outposts are delivered on the same AWS Nitro System used in the AWS Regions. By leveraging AWS Outposts infrastructure solutions, you can build, manage, and scale highly available on-premises applications using familiar AWS cloud services and tools. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, data residency, and migration of applications with local system interdependencies.

whitePaper | February 2, 2022

Exadata Cloud@Customer (ExaC@C) provides Oracle's public Exadata Cloud Service at a customer's data center using Oracle-owned and managed infrastructure located at a customer's data center.

whitePaper | May 11, 2022

Cloud technology serves as a transformative digital solution that offers unparalleled levels of security, agility, and scalability to financial institutions. Traditionally, financial institutions have been reluctant to go for the cloud due to security and regulations.

whitePaper | March 2, 2020

The digital revolution, and the data explosion that has accompanied it, has transformed the world and in turn increased the need for people to send and share information across a massively interconnected world. This is particularly true in media where file sizes keep getting bigger, workflows continue to become more global and more complex and security threats are top-of-mind. Media companies of all sizes need to move ever more data, over ever greater distances, at ever faster speeds. The parallel advances in computer storage, networking, and processing have all enabled this transformation, but a bottleneck has been left at the core of the standard transport layer of this global digital ecosystem. The Internet Protocol (IP) networks that carry the traffic aren’t being used optimally for sending large data sets over long distances, and enterprises needing to send large files quickly, safely, and reliably face an ongoing challenge.