Backup Times Significantly Reduced, Scalability for the Future
Winckler said that since installing the ExaGrid system, the company has seen its backup times greatly reduced. For example, Hunter’s Notes® backups used to take 42 hours with tape, but they are now completed in seven hours or less with the ExaGrid.
“Our backups are now completed within our backup window and they’re done consistently each and every night with the ExaGrid. I come in and check the ExaGrid every morning just to make sure everything backed up correctly and it’s a rare to even have an error,” said Winckler.
“The other area where the ExaGrid has made a tremendous difference is in restores. We used to cross our fingers and hope that the data was backed up and available every time we got a restore request. Now we are able to back up all of our data and we can restore a file in no time at all.”
Currently, the company backs up the ExaGrid system to tape and sends the tapes offsite on a weekly basis. In the future, Hunter can add a second ExaGrid system offsite to replicate data and improve its ability to recover from a disaster. “The ExaGrid system gives us the flexibility to add another system on for data replication at any point in the future,” said Winckler. “We also like the fact that we can expand the capacity of the ExaGrid when we need to by adding on extra units. Some of the other solutions we looked at weren’t scalable at all, but the ExaGrid will enable us to scale the system as our needs grow.”
The ExaGrid system can easily scale to accommodate data growth. ExaGrid’s software makes the system highly scalable – appliances of any size or age can be mixed and matched in a single system. A single scale-out system can take in up to a 2.7PB full backup plus retention at an ingest rate of up to 488TB per hour. ExaGrid appliances contain not just disk but also processing power, memory, and bandwidth. When the system needs to expand, additional appliances are simply added to the existing system. The system scales linearly, maintaining a fixed-length backup window as data grows so customers only pay for what they need, when they need it. Data is deduplicated into a non-network-facing Repository Tier with automatic load balancing and global deduplication across all repositories.