CASE STUDY that are within the public cloud , whereas with our prior implementation , we are storing a full copy of the data each time we were doing a backup , which obviously uses more space ,” Siva said .
The deduplication and compression benefits also extend to all data currently held on virtual machines . Vocus New Zealand is using Cohesity both for backups and as a network file system ( NFS ).
“ As a result , we are seeing good dedupe and compression across all file sets accessed via Cohesity . The prior implementation , by comparison , can only dedupe and compress over a backup job itself ,” added Siva .
On the backup side , Vocus New Zealand is seeing significantly improved performance results . Where a backup job using the prior implementation would take 10 to 12 hours , or sometimes longer , and apply sustained load to Vocus ’ production systems , Cohesity runs backup jobs in the region of two hours for the same dataset , with much less impact on performance .
Cohesity also brings a host of security and operational improvements . Cohesity technology can be accessed via Vocus ’ existing single sign-on – “ backup administrators just get pushed over to our Office 365 login portal and then back , whereas previously , login and authentication were a much longer process ,” said Siva .
In addition , backups benefit from data encryption at rest through Cohesity . Cohesity also provides data analysis functions that , while not presently used in production by Vocus New Zealand , are seen to offer strong potential . “ Now that we ’ ve got data on Cohesity , we can analyze the data for trends or strings ,” said Siva .
“ For example , you can find people that might be storing passwords in a file called ‘ passwords . txt ’ and take appropriate steps . Our security team is interested in that capability .”
Benefits gained by Vocus New Zealand from Cohesity include :
• OPEX savings through efficient deduplication and compression of backup data that is stored in public cloud storage
• Time for data backup processes reduced by over 80 %
• Multiple use cases solved including cloudnative archival , NFS storage , and data security and risk reduction • www . intelligentcio . com INTELLIGENTCIO
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