How to analyze The server Performance? In what way? With the development of CPU, memory and storage device technology, the performance of servers is more powerful. For example, a CPU manufacturer, Tilera Corp., recently released TILE64 series multi-core processors. This processor contains 64 independent processor cores, each of which is a full function processor. Each kernel contains L1 and L2 caches, which means that these cores can independently support a complete operating system (OS). How to analyze server performance? In what way? Focus today Large bandwidth server rental The hosted Micron Network will take you to have a look, hoping to help you.
Physical server technology has raised memory management to a new height. For example, the HP ProliantDL580G7 server has 64 DIMM sockets, which can support DDR3 memory and a maximum capacity of 2 TB. The servers of Micronet are all from regular Dell manufacturers, Xeon processors, ECC professional server memory, and enterprise hard disks.
However, why are many data centers still surprised at server capacity planning, and how should we solve the problem of server selection and hardware resource planning?
Understanding the planning, deployment and management errors of server hardware resources is the key to solving these problems and avoiding such errors.
Understanding the Server Capacity Plan
When connecting all servers, the most important step is the planning phase. Assuming that there are many data center implementation schemes, it is critical to select this server technology. IT managers often spend a lot of money to buy the most expensive and advanced systems they can buy. Although this approach may work in the initial stages, it is not the most stable solution.
Industry experts believe that planning is the primary task, which should be determined before the application environment enters the development stage.
Timothy O'Brien (MTM Technologies Inc.), system consultant of MTM Technologies Inc., said, "When we talk about capacity planning, almost everything depends on the infrastructure of the data center. We must set a reasonable expectation benchmark before deploying any server and determine the services that each server will run.
The following two main issues need to be considered to analyze server capabilities:
Understand the business carried by the future server environment. For example, what is the main purpose of implementing system virtualization? Can I also use different physical servers?
As for the demand for computing resources, what kind of pressure will more and more users, services and applications exert on computing resources. How will the future environment be expanded and upgraded? In short, are you preparing for future expansion?
People often overemphasize server capability planning, that is, end user performance. As the IT administrator said, if the end user is not satisfied with the performance problem, the server test will soon reach the end. For example, in a storage area network environment, functions are powerful and essential. However, just because there is a lot of storage space does not mean that it has the expected performance. If the SAN is allocated too much, users will feel that the performance of application services will decline. To ensure the user experience, it is one of the most basic methods to choose a tool that can track digital tests and behaviors. Changing operations, hardware failures, or other problems in the data center can cause any unexpected performance fluctuations.
It does not cost a lot of money to make the server run stably. Having a thorough deployment plan to understand the tasks that the server will run can save a lot of costs.
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