In recent years, a number of “transparent” hardware and software technologies and virtualization
solutions (such as Citrix, Microsoft Cluster Software, and VMware) have become increasingly
prevalent. These solutions operate in the technology layers adjacent to the operating systems or, in
some cases, as extensions of the operating systems. Similarly, database solutions offer transparent
components as supported elements.
OpenText supports Project and Portfolio Management Center running on operating systems and databases on particular platforms as described in the matrix above,
not specific hardware and software configurations. OpenText will support
Project and Portfolio Management Center customers who run OpenText software products on supported operating systems and
databases, irrespective of whether they are running transparent or virtualization solutions in their
environment.
OpenText does not support these transparent or virtualization technologies directly. Since the
providers of these technologies support a set of certified operating systems and hardware, the
customer and the providers of these technologies will be responsible for any interactions or issues that
arise at the hardware or operating system layer as a result of their use.
OpenText will not require customers to re-create and troubleshoot every issue in a non-transparent
environment; however, OpenText does reserve the right to request that its customers diagnose certain issues
in a native certified operating system environment without the transparent technology. OpenText will only
make this request when there is reason to believe that the environment is a contributing factor to the
reported issue.
While Project and Portfolio Management Center is expected to function properly with these transparent technologies in place,
there may be performance implications, which can invalidate OpenText’s typical sizing and
recommendations. Analysis must be performed within the context of the specific application to be hosted in a virtual environment to minimize potential resource overload, which can have significant
impact on performance and scalability, particularly under peak load.