WHITE PAPER:
Open source is recognized for its ease of use, high performance, and affordability, especially amidst turbulent economic conditions. The high value of open source, coupled with economic and organizational pressure, represents a "perfect storm" for CIOs, giving them the opportunity to deploy high-performing, cost-effective open source solutions.
WHITE PAPER:
This white paper will illustrate certain positive situations where open source solutions like sudo often work in smaller scale enterprises. However, this white paper will also spotlight red flags that relate to larger companies or companies experiencing significant IT growth. Read this paper to learn more.
WHITE PAPER:
Access this white paper to discover how one leading animation studio uses Linux to enable rapid and cost-efficient scalability of computing and resources for high-performance compute (HPC) workloads. Learn how your organization can reduce your data center footprint and enhance reliability by using this Linux platform.
WHITE PAPER:
Because SAP systems are critical to business operations, companies must ensure that they remain consistently available. This white paper explains how you can leverage virtualization to consolidate SAP servers without compromising the reliability of these crucial applications.
WHITE PAPER:
The Distributed Application Designer allows administrators to graphically define components which make up a service. Underlying is Operations Manager System Definition Model (SDM).
WHITE PAPER:
Read this whitepaper to learn how using Audit Tracking will give you greater SOX compliance. Rev Scheduler has built in audit facility and which allows for greater SOX compliance as all job definitions are audited and tracked.
WHITE PAPER:
This white paper examines the advantages of an integrated, UNIX-based server virtualization platform. Compare the TCO and workload capabilities of this architecture with its popular x86 counterparts to determine a best-suited virtualization approach for your organization.
WHITE PAPER:
In the 1960s, computers housed in data centers were few in number and this resource was very expensive. As a result utilization of those compute resources was kept very high. In order to optimize the utilization of those...
