Data Center Operations

Data Center Operations

Data Center Operations manages University data centers that provide continuous availability of mission critical technology equipment and applications. Through an effort of constant monitoring of systems, prompt reaction and response to system requests or problems, Operations provides the onsite expertise required to service the needs of technology. Based within the two environmentally controlled Data Centers located on the IUB and IUPUI campuses that total 30,000 square feet of raised floor, the teams provide redundant coverage and failover capabilities. The Data Centers support Indiana University network infrastructure, information systems, colocation and research computing clusters through power, backup power, generator, and cooling infrastructure.

Operations areas of responsibility include monitoring systems and batch schedules 24x7, 365 days a year with two dedicated shifts. Operations provide front-end assistance to system administrators, working closely with Support Centers and Network Operations Centers to coordinate and communicate service outages and organize systems administrator responses. Manage Distributed Enterprise Print Services (DEPS), including new printer setup and monitor print queues in support of the enterprise applications.

Production Services

Production Services monitors and schedules over one million batch processes per year. Production Services performs program moves for production implementation of all IU written enterprise systems application areas. This support is provided for the primary users of the business systems applications and platforms on all eight campuses. Services include production job turnover, job runtime analysis, user training, application and system data backup, and automation of manual processes. In conjunction with other UITS units, the Production Services team also defines and sets up production systems, troubleshoots application problems, consults on future operational requirements and application architecture, plus manages the implementation of the automated batch-scheduling software.