Automated job scheduling is essential to complex data centers, because it helps them operate more efficiently and reliably. Integrating enterprise applications and business processes using a range of proprietary or scripted approaches is resource intensive, difficult to manage, and prone to error. These incomplete solutions leave data centers with increased security vulnerabilities and a reliance on operations staff to monitor system health. These methods also leave IT managers sightless to problems that may arise during the execution of jobs that comprise mission-critical business processes. As a result, they cannot consistently and completely satisfy the demands placed on them by the various business units they support. This "reactive mode" data center is expensive to manage and can dramatically reduce opportunities for IT to partner with business operations managers to improve service-level agreement (SLA) performance and reduce total cost of ownership (TCO).
A proactive and holistic approach to job schedu