The University of Edinburgh
Reduces Infrastructure Costs While Improving Service Levels and Planning
Founded in 1583, the University of Edinburgh is one of the world’s most prestigious academic institutions. Through the achievements of its staff and students, the school presents cutting-edge research, inspirational teaching, and innovative thinking as its central ethos, attracting great minds from around the globe. Today the school's staff of 13,744 full- and part-time employees instructs 35,582 students during the academic year. To support this large community, the college's IT department provides fully integrated physical and digital services.
The university's IT department supported a traditional enterprise IT setup as well as a large, distributed infrastructure dedicated solely to research. The environment included approximately 700 servers, 2,000 virtual machines, 1.5 petabytes of SANs for the enterprise IT systems, and a number of dispersed research servers. To simplify operations, Edinburgh wanted to integrate its enterprise and research IT infrastructures to streamline backup and recovery. In addition to an end-to-end view of the health of the backup systems and historical trending information for capacity planning, the university wanted to automate the reporting process so that administrators would no longer have to dig through mountains of data. Research teams were forced to dedicate half of a full-time employee to collecting and manually plotting information to gain some sense of what was happening in the backup environment.
- Streamlined troubleshooting and problem resolution by gaining a single view for backup management across the IT infrastructure
- Simpliﬁed operations and maximized resources through real-time, automated reporting on TSM servers and other storage devices
- Redeployed headcount to more strategic initiatives by leveraging proactive trending reports for effective capacity planning
- Backup Monitoring and Reporting
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Before, it was virtually impossible for my team to get answers to critical questions, and Servergraph is very strong at quickly answering these questions. We are also able to deliver the intricate reporting the downstream owners of the research systems need without anyone spending hours doing manual work.