TRIAL SOFTWARE:
IBM Data Studio provides an integrated, modular environment for productive administration of DB2 for Linux, UNIX and Windows, and collaborative database development tools for DB2, Informix, Oracle, and Sybase. View this page to get an overview of its components and download a trial of Data Studio with a free database, DB2 Express-C.
WHITE PAPER:
This white paper outlines how one organization successfully migrated to Linux and consolidated 14 physical servers to a single IBM System z mainframe. Inside, discover how your business can consolidate physical servers and realize other valuable benefits like rapid provisioning and easy management of virtualized Linux environments.
WHITE PAPER:
Red Hat Enterprise Linux running on Intel® processor-based servers
is helping companies cut TCO by up to 50 percent and more versus comparable UNIX/RISC solutions, while providing a better foundation for growth. This white paper outlines the key benefits of migration and provides a step-by-step guide to conducting a successful transition.
EGUIDE:
In this expert e-guide, learn how to make the migration less complex and more fun. From starting your migration with a thorough assessment to examining the code and determining the system administration functions.
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).
CASE STUDY:
Peerless Clothing deployed its SAP* environment on SUSE® Linux Enterprise Server, saving at least $700,000 compared to the cost of a UNIX-based solution. Learn how.
IT BRIEFING:
There has never been a better time to migrate your proprietary RISC servers to Intel® Xeon® processor-powered Dell PowerEdge servers running Red Hat Enterprise Linux. This brief discusses how you can reduce costs and scalability, flexibility and performance with this trio of leading technology vendors supporting your business.
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...