Increasing work and fewer resources make handling accelerated data growth more challenging. As demands for new business application services soar along with storage requirements, IT organizations hustle to meet growing needs. One of the challenges becomes being able to meet these needs while maintaining staff levels and without increasing infrastructure expenditures.

More Data, Less Time

It’s quite common for IT managers to support multiple silo infrastructures. They’re often responsible for application systems, networking resources and virtualized environments. Administering storage and data protection are also critical areas of responsibility. Administration personnel are constantly busy and don’t always have enough time to focus on ways that IT can enhance business revenue and profitability.

Increasing Expenditures from Data Growth

IT organizations strive to save on capital expenditures and ongoing management, which can be partially achieved by managing storage costs. Data is doubling almost every two years. Most data growth is coming from unstructured data or data external to databases. Such data is found in user files, PDFs, audio and video files, JPEGs and machine sensor data. Soaring data growth is escalating the demand for additional primary storage capacity and backup storage. These are more than likely to compel increased storage expenditures year after year.

Labor invested in planning, integrating and updating storage environments can help absorb appreciable amounts of IT support time. Data recovery and archival functions must also be supported. Because of the strain these functions place on data storage needs, planning’s needed to optimize data related resources.

Minimizing Storage Inefficiency

Storage inefficiency may have been tolerable in the past, but is fast becoming more difficult to justify. Storage utilization in data centers is often under 40 percent, an inefficiency arising from poor predictions of capacity utilization over 1 to 3 year periods.

Zero configuration storage is an effective way to reduce costs while making it simpler to add new storage resources. Solutions based on scale-out architecture allowing for discrete storage nodes to be added to a cluster “just-in-time” add significant provisioning efficiencies. When data is automatically rebalanced as storage capacity is added to a cluster, an administrator’s time can be freed for other essential tasks.

Conclusion

To be efficient and survive the data deluge, IT organizations must help businesses leverage their technology. Daily support of core infrastructure requires that management implement changes to reduce ongoing data storage costs. Organizations that need support in critical data storage buying decisions can reach out to Reliant Technology to save money will being able to maintain and upgrade their existing storage infrastructure.