n unable to facilitate communications across application layers or even simply share data between themselves. Look at any of these systems across an enterprise and you will also see wasted or unused CPU cycles, wasted disk storage subsystems, and over-worked DBAs and Administrators trying desperately to keep some fPre-RAC

Let’s face it, today’s IT environments are in constant flux. Acquisitions, mergers, global economies, and the general unrest in the marketplace continually put stress on IT infrastructures. It has become increasingly difficult for IT organizations to predict, plan, and deploy proper computing environments that will satisfy current and future requirements.

Corporations, when planning for database systems, seem to be a constant battle between purchasing systems that meet today’s requirements against systems that might potentially satisfy future expectations. The unfortunate reality is that both of these approaches are inadequately suited when compared to the dynamic nature of the systems we must supply to the end user community.

When systems are built against today’s requirements, without looking to the future, what’s often left after requirements change, is a set of small discrete systems scattered around the organization each supporting one or two applications. These independent systems typically are improperly sized, too small or too big for the applications they support, and are likely to become islands of computing power that are spread thinly around a corporation. To make matters worse these discrete systems are often unable to facilitate communications across application layers or even simply share data between themselves. Look at any of these systems across an enterprise and you will also see wasted or unused CPU cycles, wasted disk storage subsystems, and over-worked DBAs and Administrators trying desperately to keep some fo

ents that will satisfy current and future requirements.

Corporations, when planning for database systems, seem to be a constant battle between purchasing systems that meet today’s requirements against systems that might potentially satisfy future expectations. The unfortunate reality is that both of these approaches are inadequately suited when compared to the dynamic nature of the systems we must supply to the end user community.

When systems are built against today’s requirements, without looking to the future, what’s often left after requirements change, is a set of small discrete systems scattered around the organization each supporting one or two applications. These independent systems typically are improperly sized, too small or too big for the applications they support, and are likely to become islands of computing power that are spread thinly around a corporation. To make matters worse these discrete systems are often unable to facilitate communications across application layers or even simply share data between themselves. Look at any of these systems across an enterprise and you will also see wasted or unused CPU cycles, wasted disk storage subsystems, and over-worked DBAs and Administrators trying desperately to keep some f

oaches are inadequately suited when compared to the dynamic nature of the systems we must supply to the end user community.

When systems are built against today’s requirements, without looking to the future, what’s often left after requirements change, is a set of small discrete systems scattered around the organization each supporting one or two applications. These independent systems typically are improperly sized, too small or too big for the applications they support, and are likely to become islands of computing power that are spread thinly around a corporation. To make matters worse these discrete systems are often unable to facilitate communications across application layers or even simply share data between themselves. Look at any of these systems across an enterprise and you will also see wasted or unused CPU cycles, wasted disk storage subsystems, and over-worked DBAs and Administrators trying desperately to keep some f

rganization each supporting one or two applications. These independent systems typically are improperly sized, too small or too big for the applications they support, and are likely to become islands of computing power that are spread thinly around a corporation. To make matters worse these discrete systems are often unable to facilitate communications across application layers or even simply share data between themselves. Look at any of these systems across an enterprise and you will also see wasted or unused CPU cycles, wasted disk storage subsystems, and over-worked DBAs and Administrators trying desperately to keep some fn unable to facilitate communications across application layers or even simply share data between themselves. Look at any of these systems across an enterprise and you will also see wasted or unused CPU cycles, wasted disk storage subsystems, and over-worked DBAs and Administrators trying desperately to keep some for of control on these systems.

Purchasing large centralized servers or systems larger then what is currently required is no better. Companies going this route often put every application on one server or are purchasing more computing power then they currently need. Designing systems in this manner has proven to be very costly and wasteful of money and resources.

Downtime is always disastrous but having everything run on one system has the potential of bringing down every aspect of your business at the same time. This goes for unplanned downtime as well as planed downtime such as maintenance windows.

When systems are too large with unending processing power, these systems are often taken for granted and sloppy or ill-tested applications are deployed without ever going through some form of performance or scalability tests. Down the road when additional CPU, memory, or disk resources are needed, they are just not there.

Vigilant’s prides itself in taking the time to consider your requirements, transforming them into viable solutions, and selecting the proper set of components for your computing environment.

Both small discreet and large dedicated systems do share one thing in common. They both often have multiple single