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With increasing work and fewer resources, handling data growth can become more challenging. As demands for new business application services soar along with storage requirements, IT organizations hustle to meet growing needs. This is essentially what storage management overload means. It is the challenge of not being able to meet these needs while maintaining staff levels and without increasing infrastructure expenditures.

Unfortunately, this is the new normal for many organizations. With IT budgets getting smaller and the work increasing, many IT organizations need to choose between different aspects of the workforce. By increasing your data storage, you will be able to have more power, and more possibilities. Unfortunately, often this can also come along with more stress because there is more unstructured data causing storage overload. 

Managing Storage Overload

Causes of Storage Overload

Because most of the data being generated today is unstructured data, which means it must be analyzed and processed, it takes up a huge amount of space. With all of these data being analyzed you need to make sure you are able to take on the responsibility of managing this data as well. 

What Makes Managing Storage Overload Difficult? 

There are a few reasons why managing storage overland is difficult.

  • IT Budgets 

Staying under budget makes it extremely difficult to manage storage overload. If money was not a problem companies would simply buy hardware that could outperform their company. Sadly this is not the case and companies are stuck suffering from hardware that can’t scale with their company, leading to storage overload. Finding value in the secondary market is a great way to stay under budget while gaining the capacity you need.

  • Accelerated Data Growth

Data is doubling approximately every two years, the need for more storage is only increasing as the world becomes more data dependent. To combat the accelerated data growth you have two options: delete old data or increase storage capacity. Deleting your data can be risky and is not often done. It is better to increase capacity and support hardware which can be done cost effectively through the secondary market.

  • Responsible For Too Many Silos 

Being busy is great for many organizations, but the trouble is that when some companies become overloaded, they do not hire more staff. Rather, they choose to have one or maximum two IT administrators manage multiple silos of infrastructure. This is somewhat dangerous because these individuals are required to manage a huge amount of tasks. Whether this is application systems, virtualized environments, storage and data protection, or even simply networking resources, it can be a lot for one or two people to manage. This leads to the trouble of them not being able to focus on business revenue, but rather various other tasks.

How to Handle Storage Management Overload 

More Data Less time 

Often in an organization you may have only one or two IT administrators that manage multiple areas of infrastructure. Typically this role requires being responsible for application systems, networking resources and virtualized environments, as well as administering storage and data protection. Administrators are incredibly busy and do not have the time to focus on how IT can actually enhance the business in terms of 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.

Minimize 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

Containing Commodity Costs

Commodity disk drives are often highly dense, and extremely expensive. You can reduce costs by leveraging these, as well as mix and match drive types and densities. This way you can keep your cost per GB used much lower. Store their data in a smaller sized rack. This will in turn require less spindles, as well as less power and cooling. 

Eventually, having individual disk drives replaced, or all your drives in a storage node replaced, can be expensive. This is why higher density drives exist. Having flexibility to use drives from any manufacturer, means that you can avoid purchasing storage from one manufacturer. It will also provide a reason for OEMs to lower their price per TB over time.

Object Based Storage Architecture

Because we are moving into a new reality of storage architecture that can aid in storage management overload due to dense disk drive architectures, we are able to continue to provide a high level of availability at the same time.

One method of achieving this, is to use object based storage architecture. Rather than using traditional RAID configuration, this object based storage allows data to be dispersed across multiple drives. First in a storage node, and then across dozens of storage nodes in a cluster.

This allows your drive to recover quicker because your data data availability remains extremely high. It also allows you to deliver in the most cost efficient method, while maintaining the highest level of availability.

Web Based Storage

If you are looking to maintain high availability, then you will also need to consistently monitor your storage environment. If you do not do this, then the components are likely to fail. By regularly gathering metrics on the health of each individual drive, you will be able to identify the issues when they fail, and even before they fail.

NetApp Support

How Third Party Maintenance Provider Can Help 

Although it may seem impossible to find a cheaper solution to storage management overload, this is not the case. When you have multiple providers of equipment, you are able to pick and choose exactly what you need. This in turn will lower your costs.

Then you may run into the problem of paying for different maintenance providers to support your different devices right? Not so fast. Instead of purchasing different support plans from different OEMs, you can purchase one plan with a TPM provider.

Third party maintenance plans allow you to customize your data center support. Whether you need support for one year, or a few months you can choose this. You can also choose to cover a variety of different manufacturers in one single support plan. This makes it far more affordable, as well as a great value.

Contact Reliant Technology

Storage management overload can be frustrating, but there are modern methods to maximize your capabilities, and reduce costs. The best way to place all of your support contracts in one location is with third party maintenance from Reliant Technology. By centralizing your storage and maintenance, you can leave everything up to our expert engineers, and save money in the process.


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Reliant Technology