Teach you how to handle data center development flexibly

If the enterprise it just follow the current situation to develop, I am afraid it will be more than consciously spend more money, so plan ahead to bring rewards.

Capacity planning needs to observe business requirements

Configuring virtualization and improving storage utilization enables organizations to better understand data and capacity requirements. For example, automating workflows can help the IT environment measure capacity requirements and start the server that is currently needed. In this virtual environment, the workload can be quickly started or deactivated, so the manager capacity is sufficient to start the new machine needed, just use the existing hardware.

If the environment is ready to face a sudden increase in utilization, such schemes generally do not create confusion. If data center technology is sufficient, storage can use a similar approach. Automated streamlining provisioning (Thin provisioning) allows managers to use the correct number of storage for virtual machines, solid-state drives (SSD), and flash memory to address I/O problems. NetApp has developed a good onboard card, called Flashcache, that uses smart buffering, which has a capacity of 1 TB and can offload workloads from running disks. With it, storage engineers can use space efficiently. Otherwise, excessive supply of storage is expensive.

High-level IT managers must keep data centers close to the business line and anticipate future scenarios. As long as you understand the company's business growth strategy, IT managers are better able to predict how the data center will grow in the future. Do you need to buy a new customer relationship management software? Do you need another distributed datacenter environment? It is also important to observe the existing internal trends in the data center. If the IT environment is well regulated, tightly monitored and kept up with the times, it will grow stronger.

All the infrastructure must be able to cope with sudden changes. Never use computing resources to the limit when working inside the system. Keep the data center capacity available (including storage, licensing, servers, virtual machines, etc.), and IT environments can quickly adapt to daily business fluctuations.

Three strokes to teach you to cope with capacity surges

Data center capacity planning also relies on business requirements. But there are three ways to cope with sudden capacity growth and even future plans.

Use virtual functionality to reduce hardware footprint and run more efficiently. Less hardware, and less data center management and cost. The idea of "Bring-your-own-device BYOD" also reduces costs. The data is stored centrally, and can go anywhere at any time, on any device you can see. Thin clients use Virtual desktop operations to reduce reliance on large desktop PCs. Differences in small environments may be smaller. But imagine changing the area of 2000 desktops to a thin client. In this environment, resource-intensive user groups can have dedicated direct resources. A manager can assign a physical graphics card to the selected virtual machine.

Migrating to Cloud computing is one of the ways. Many organizations are beginning to focus on the benefits of cloud computing for Datacenter capacity planning, with large organizations unloading the entire workload, moving to the cloud, and never having to manage physical hardware. Amazon's EC2 service has very attractive server price points, and organizations can feel the obvious benefits of migrating to that infrastructure. Some of the company's architectures remain in the data center, so a hybrid solution, such as all testing and development, is done in the cloud. If the hardware is removed, we will see a lot of savings in licensing, data center energy and cooling costs and infrastructure. With the development of cloud computing, management will be simpler. Software such as Citrix's open Cloud access enables simple identity syndication, which allows users to obtain web-based application authentication with only Active Directory certificates.

Flexible configuration of storage schemas. Storage, which is one of the most vulnerable to oversupply and cost in IT environments. Buying redundant hard drives to solve the I/O problem is more of a temporary solution than a solution. So be smart with storage. EMC's CLARiiON sans use SSD solid-state drives to receive specialized workloads, such as I/o-intensive. This technology reduces the need for redundant hard drives. And I've mentioned that NetApp's Flashcache can offload the heavy Virtual Desktop infrastructure (VDI) load and make the existing hard drive service more users.

But there is a point where IT managers can bring new technology into the data center-even into the transformation of the economy. But the real challenge is how to apply to management. As an IT professional, we certainly know the importance of infrastructure, but people outside the IT field are less concerned about it.

For example, old servers are expensive, need more money to manage, and their densities are not as good as the servers they now have. If IT managers want to bring any technology into their IT environment, they first have to be able to demonstrate their short-term and long-term financial returns.

The Cisco UCS Blade chassis can save money by removing old loads and servers and moving applications and users to smaller but more dynamic environments. This is very effective for cost savings in energy consumption, space utilization, and manageability. Long-term cost savings involve fast hardware provisioning, and IT departments need to better handle the volatility of business policies. Other examples include the configuration of VDI to offload a large amount of desktop hardware footprint, the implementation of cloud preparation techniques to improve business size, and the use of virtualization to remove old loads.

(Responsible editor: The good of the Legacy)