How Modernizing Aging Data Center Infrastructure Improves Sustainability

whitePaper | December 31, 2021

The transition to the cloud continues unabated, and so does the dramatic proliferation in operational complexity. Unfortunately, the legacy monitoring tools in use are only compounding this complexity. This white paper examines how today’s hybrid cloud infrastructures pose unprecedented challenges and require modern management approaches. It then offers a close look at the ScienceLogic SL1 platform and reveals its differentiated advantages.

whitePaper | May 31, 2022

Modernizing U.S. agricultural data infrastructure will better equip farmers and the U.S. Department of Agriculture (USDA) with tools to adapt, innovate, and ensure a food-secure future given the increasingly dynamic conditions in which the sector operates.

whitePaper | July 28, 2022

This technical white paper discusses the benefits of automated machine learning and the challenges of non-automated model development that it overcomes. The paper presents an overview of the H2O Driverless AI product from H2O.ai, along with a solution architecture for H2O Driverless AI built on the Dell Validated Design for AI. It also provides several validated use cases using the solution.

whitePaper | October 3, 2022

This paper is intended to introduce the definition of a Data Fabric solution from a business perspective, the technical capabilities required to instantiate the solution, and a reference architecture representative of the solution.

whitePaper | July 21, 2022

Developing storage power, building a solid cornerstone of high-quality development. Human civilization cannot progress without the preservation and transfer of information across time and space. With the advent of the information technology revolution, digital data storage has replaced paper. Data is what we will pass on to future generations. Different countries have implemented different strategies to realize data's potential.

whitePaper | December 12, 2022

Historically, enterprise network security has been defined by a series of painful tradeoffs. Simply put, flat networks were easy to manage but gave attackers free reign to spread and cause damage once inside the network. On the other hand, the more secure and tightly controlled architectures defined by Zero Trust exponentially increased the cost, complexity, and effort required from staff. Ultimately, this forced organizations into uneasy compromises that were expensive, left technical teams overworked, and fell well short of the ideals of Zero Trust.