File Systems Archive
In the 1950s, magnetic drum memory was popular. A drum had approximately 10KB of capacity. It wasn’t until 1980 that a storage device—the IBM 3380—had a capacity of more than a gigabyte. The 3380, which actually had a whopping 2.52 GB capacity, cost between $81,000 and $142,400. It weighed 550 pounds.
Storage devices may have greater capacity now, but the explosion of data has made data storage more and more challenging nevertheless. Keeping track of 2.52 GB of data was probably significantly easier than dealing with the massive and ever-growing amount of data that almost every organization struggles with today.
File Systems Archive should be organized based on intelligent data management
The data landscape is made even more complicated by the fact that so much data today is unstructured and that in the average organization unstructured data is growing much faster than structured data. Much of this unstructured data will never be used again a short time after being created, but because of regulatory compliance it must be kept. Data that’s potentially the object of an e-Discovery request needs to be readily accessible, but shouldn’t necessarily be taking up priority storage space. Grouping and classifying data is necessary to determine just where each piece of data should optimally reside. Quite a challenge considering the millions—or more—files that need to be archived in many environments.
File archives that are categorized based on use and type are a step in the right direction—categorization facilitates data search, access, and finding the proper storage location. Storing data that’s never used on tier-one storage can be a waste of resources that proper categorization and evaluation of data avoids. Rocket Arkivio Autostor analyzes data, determining what kind of data it is and how often it’s accessed (if ever). A relative business value is assigned and files that need to be actively managed are identified. Arkivio comes with the capability of running “what if” scenarios to make file archives even more intelligent.
Rocket Arkivio Autostor automates data management
Rocket Arkivio Autostor allows the automation of data management functions such as migration or retention functions. It can manage billions of files that reside on thousands of servers and on a variety of operating systems. Policies can be set up to automatically move data that meets designated criteria to cheaper arrays. With Arkivio, organizations can easily build their own user-defined and policy-driven file archives that meet both cost and operational goals.
Rocket Arkivio Autostor maximizes future data storage, too
Analyzing current file archives can make planning for additional storage investments far more efficient. Storage consolidation planning also benefits. Arkivio facilitates identifying storage that is under or over utilized and storage that is being misused. Duplicates are listed by number of files and file size.
Arkivio is agentless, so it minimizes the impact on an environment.
To keep throwing in more disks is no longer an adequate storage solution to rein in massive amounts of data. Data today requires intelligent management that maximizes storage use while providing instant access to an organization’s most important data. Rocket Arkivio Autostor analyzes data and evaluates where it can most profitably be stored. It’s a complete data management solution that can improve operational efficiency and optimize resources.