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  4. The Stiftung Hospital zum Heiligen Geist increases diagnosing services with ETERNUS DX500 and automatic transparent failover

The Stiftung Hospital zum Heiligen Geist increases diagnosing services with ETERNUS DX500 and automatic transparent failover

"On the technical side, the transparent failover solution and automatic storage tiering feature for optimized storage utilization really impressed us. It was also important that any new system we installed would be able to grow with our requirements."

Reimar Engelhardt Head of IT, Stiftung Hospital zum Heiligen Geist

Stiftung Hospital zum Heiligen Geist uses FUJITSU Storage ETERNUS DX systems to create a high performing, reliable storage infrastructure.

Customer

Stiftung Hospital zum Heiligen Geist is a non-profit foundation based in Frankfurt, which covers several different hospitals and healthcare facilities in the region. One of these, the Krankenhaus Nordwest hospital in Frankfurt am Main, provides specialist care for the Frankfurt Rhine-Main region with 582 beds across ten clinics and four institutes. The hospital also houses the clinical research base for the University Cancer Center in Frankfurt (UCT), which is certified by the Deutsche Krebshilfe cancer charity. Its oncological center is also an institute of national importance certified by the German Cancer Society.

The existing storage infrastructure which the foundation and its companies were using could not be upgraded any further. Maintenance and expansions had become expensive. In the event of a disaster, the IT team would have to intervene manually to make various applications and storage systems available again.

Solution

Purchased a completely new storage infrastructure based on FUJITSU Storage ETERNUS DX500 systems with automatic transparent failover, storage tiering and quality of service levels.

Benefit

  • Automatic cost and performance-optimized allocation of storage resources
  • Automated failover solution compatible with third party systems
  • Scalability within the model series and expandability within the model family

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