Sustained growth is an eternal theme in the digital world. It is estimated that from 2009 to 2020, the digital world will increase in size by 44 times, which means that it will increase by 41% annually. It will become more and more complicated to store, find and extract value from a large amount of data.
As the digital business world develops, hybrid data and its intended use will also change. Data types are increasingly diversified, with 80% of today's data being unstructured data, reusing data is decreasing, and 80% of data will not be used after 90 days. However, according to regulations and compliance requirements, data needs to be stored for a long period of time, and sometimes it needs to be preserved for hundreds of years.
There are many consequences of the current large-scale storage of data, and the impact on the environment is one of the factors. Storage already consumes 40% of data center power and expects that the total energy consumed by storage solutions will increase by more than six times over the current ten years. Based on these predictions, storage will consume 75% of the energy in the data center, considering that 80% of the data will not be read after three months, then storage is the main IT factor that causes energy consumption.
Another consequence is that costs and management continue to increase the extra cost of data. Business data will increase storage management costs by 25% annually. In the long run, it will be the number one cost for many data centers. Therefore, it is increasingly important that the value of data and the ability and cost of data storage match each other.
In the future, the management of data storage must be simple, convenient, cost-effective, environmentally friendly, and streamlined so that companies can operate normally and perform better and faster.
Dedicated to "perfect" solutions When considering the development of storage strategies to meet growing data needs, companies must focus on three basic elements: the evolving capabilities of data centers, business drivers, and "perfect" storage solutions.
Today's typical data centers are moving from tangible, static, and heterogeneous settings to grid-based virtualized infrastructure and cloud computing environments, enabling self-service, policy-based resource management and capacity planning. Over time, storage solutions must be able to support changes in the data center, so dynamic storage systems are very important and can be used to support the forecasting needs of these application environments.
For corporate CIOs, the most important IT topic before was cost reduction. Now it is business growth and profitability. The storage strategy must be consistent with these goals. Therefore, no matter the size of the enterprise, the storage solution must be able to expand to solve larger and more complex business problems, and at the same time be able to implement real-time operation and execution, so as to ensure that the enterprise responds timely and makes business decisions. Similarly, the solution's infrastructure must be highly efficient so that it can effectively solve complex business problems, reduce costs, and increase processing speed. At the same time, it must integrate complete data to meet long-term business needs and regulatory compliance needs.
Finally, if you are not subject to cost and existing architecture, you can use a free way to create a "perfect storage solution." For the CIO, this will include on-demand secure data access, application-aware storage optimization, unlimited capacity, scalable performance, rapid deployment such as home appliances, integrated applications, systems, and storage management. Although reality is far from this perfect realm, these ideas must be considered to guide companies to accelerate their performance, profit, and reduce IT costs.
The Pyramid Strategy In order for strategy to become a reality, companies need to shift the traditional approach to managing silos to automated, tiered, and unified storage architectures. By using the formula, some storage data will be allocated to the corresponding storage pool, and the company will increase the price, performance, capacity, and functionality of its storage infrastructure.
The typical tiered storage model has 4 layers:
The newly emerging layer 0 uses flash storage and is extremely high-performance, capable of storing high-value information that needs to be captured, analyzed, and quickly provided.
Primary storage is listed as Tier 1, which is based on Fibre Channel disk systems and has high performance and high availability with close to zero downtime, while having fast recovery capabilities to support customer-facing and revenue-based applications.
Layer 2 storage is managed on low-cost, high-capacity disks and can manage a wide range of business applications such as databases, backups, e-mail, and file systems.
Finally, Layer 3 is based on a more cost-effective, green tape technology that can store large amounts of archive data for compliance purposes and does not require immediate access.
To optimize the tiered storage architecture, companies must classify and evaluate business data, and then distribute this data to the most appropriate storage tier. Utilize I/O intensive data to divide the data into 4 categories and allocate them to tier 0 storage; mission-critical data such as revenue and customer related applications can be stored to tier 1; important data but businesses do not need to recover immediately can continue to be retained The second layer; data that does not need to be used frequently and that needs long-term preservation should be placed on the third floor.
Utilizing economic advantages to develop and use a tiered storage environment has excellent economic advantages. Studies have shown that the average life-cycle cost per TB for a tiered storage environment is US$15,000; the life-cycle cost per TB for the two tiers is US$8,000; the life cycle cost per TB for the four tiers is US$4,000[5]. Since most of the data is stored in the layer 3 file data layer, this layer is built on tape, so the cost is naturally low. Similarly, data value mapping and allocation methods for an automated system require less management and maintenance at the low end of pyramid storage, which reduces costs and allows staff to save time focusing on the management of mission-critical data.
This storage method also reduces the risk of regulatory compliance and improves business continuity. Companies can more easily meet regulatory and audit requirements and, in turn, improve service levels. Ultimately, companies can improve their performance, and upgrades will become more convenient, obsolete data will be removed from the production resources, thereby reducing the damage to the production environment.
With economic growth, performance and profitability are increasingly important in corporate management meetings, and storage management will play an important role in helping companies achieve these goals.
As the digital business world develops, hybrid data and its intended use will also change. Data types are increasingly diversified, with 80% of today's data being unstructured data, reusing data is decreasing, and 80% of data will not be used after 90 days. However, according to regulations and compliance requirements, data needs to be stored for a long period of time, and sometimes it needs to be preserved for hundreds of years.
There are many consequences of the current large-scale storage of data, and the impact on the environment is one of the factors. Storage already consumes 40% of data center power and expects that the total energy consumed by storage solutions will increase by more than six times over the current ten years. Based on these predictions, storage will consume 75% of the energy in the data center, considering that 80% of the data will not be read after three months, then storage is the main IT factor that causes energy consumption.
Another consequence is that costs and management continue to increase the extra cost of data. Business data will increase storage management costs by 25% annually. In the long run, it will be the number one cost for many data centers. Therefore, it is increasingly important that the value of data and the ability and cost of data storage match each other.
In the future, the management of data storage must be simple, convenient, cost-effective, environmentally friendly, and streamlined so that companies can operate normally and perform better and faster.
Dedicated to "perfect" solutions When considering the development of storage strategies to meet growing data needs, companies must focus on three basic elements: the evolving capabilities of data centers, business drivers, and "perfect" storage solutions.
Today's typical data centers are moving from tangible, static, and heterogeneous settings to grid-based virtualized infrastructure and cloud computing environments, enabling self-service, policy-based resource management and capacity planning. Over time, storage solutions must be able to support changes in the data center, so dynamic storage systems are very important and can be used to support the forecasting needs of these application environments.
For corporate CIOs, the most important IT topic before was cost reduction. Now it is business growth and profitability. The storage strategy must be consistent with these goals. Therefore, no matter the size of the enterprise, the storage solution must be able to expand to solve larger and more complex business problems, and at the same time be able to implement real-time operation and execution, so as to ensure that the enterprise responds timely and makes business decisions. Similarly, the solution's infrastructure must be highly efficient so that it can effectively solve complex business problems, reduce costs, and increase processing speed. At the same time, it must integrate complete data to meet long-term business needs and regulatory compliance needs.
Finally, if you are not subject to cost and existing architecture, you can use a free way to create a "perfect storage solution." For the CIO, this will include on-demand secure data access, application-aware storage optimization, unlimited capacity, scalable performance, rapid deployment such as home appliances, integrated applications, systems, and storage management. Although reality is far from this perfect realm, these ideas must be considered to guide companies to accelerate their performance, profit, and reduce IT costs.
The Pyramid Strategy In order for strategy to become a reality, companies need to shift the traditional approach to managing silos to automated, tiered, and unified storage architectures. By using the formula, some storage data will be allocated to the corresponding storage pool, and the company will increase the price, performance, capacity, and functionality of its storage infrastructure.
The typical tiered storage model has 4 layers:
The newly emerging layer 0 uses flash storage and is extremely high-performance, capable of storing high-value information that needs to be captured, analyzed, and quickly provided.
Primary storage is listed as Tier 1, which is based on Fibre Channel disk systems and has high performance and high availability with close to zero downtime, while having fast recovery capabilities to support customer-facing and revenue-based applications.
Layer 2 storage is managed on low-cost, high-capacity disks and can manage a wide range of business applications such as databases, backups, e-mail, and file systems.
Finally, Layer 3 is based on a more cost-effective, green tape technology that can store large amounts of archive data for compliance purposes and does not require immediate access.
To optimize the tiered storage architecture, companies must classify and evaluate business data, and then distribute this data to the most appropriate storage tier. Utilize I/O intensive data to divide the data into 4 categories and allocate them to tier 0 storage; mission-critical data such as revenue and customer related applications can be stored to tier 1; important data but businesses do not need to recover immediately can continue to be retained The second layer; data that does not need to be used frequently and that needs long-term preservation should be placed on the third floor.
Utilizing economic advantages to develop and use a tiered storage environment has excellent economic advantages. Studies have shown that the average life-cycle cost per TB for a tiered storage environment is US$15,000; the life-cycle cost per TB for the two tiers is US$8,000; the life cycle cost per TB for the four tiers is US$4,000[5]. Since most of the data is stored in the layer 3 file data layer, this layer is built on tape, so the cost is naturally low. Similarly, data value mapping and allocation methods for an automated system require less management and maintenance at the low end of pyramid storage, which reduces costs and allows staff to save time focusing on the management of mission-critical data.
This storage method also reduces the risk of regulatory compliance and improves business continuity. Companies can more easily meet regulatory and audit requirements and, in turn, improve service levels. Ultimately, companies can improve their performance, and upgrades will become more convenient, obsolete data will be removed from the production resources, thereby reducing the damage to the production environment.
With economic growth, performance and profitability are increasingly important in corporate management meetings, and storage management will play an important role in helping companies achieve these goals.