Datacenter migration,data is one of the most important commodities in today's business. The data is a king, whether it is a specialized processing or selling or just use. A recent study by the world state Wei Dynasty shows that the market for data centers in Europe is still booming, and the data center capacity of enterprise leasing has set a new high.
But in order to meet the demand for data growth, the data center is having to use more servers, racks and hardware, which are increasingly difficult to monitor. The complexity of the dynamic environmental management of the people, power and assets of the data center is causing huge data blindness, which means that it needs to be solved inefficiency. The problem. And the problem is as big as snowball. With the growing application of the Internet of things equipment in 2018, more data is pouring into it, and the traditional data center will be overwhelmed without proper planning.
Today, the speed of data growth and the growth of business needs are indisputable. Intelligent monitoring and automation must meet the increasingly complex management requirements in order to achieve the desired level in the foreseeable future.
If the organization is seeking to implement a new solution, the first thing that must be done is planning. A better architecture can make network devices more flexible, programmable, and more flexible.
However, improper planning is a serious defect that must be avoided, and even if the organization adopts appropriate solutions, it will be difficult for organizations to benefit from these solutions without appropriate strategies, which will eventually affect the organization's income.
Organizations need to develop an implementation plan that includes goals and expectations to identify the benefits of implementation and, more importantly, how solutions and frameworks can be used by site personnel.
Without this, new software and hardware will be installed, and engineers are almost ignorant of the real potential of these devices.
In addition, the direct result of more and more devices being added to the enterprise network is that the data center now deploys more frames to store these data, and the power density is higher than ever before, and the required applications and services are also run. This puts the underlying problems and potential problems to the forefront. This is an organization that can not be ignored.
First, deploying more cabinets in the machine room will lead to a rise in the temperature of the data center environment, which may have a huge impact on the performance of IT devices. If not solved, it may lead to a breakdown of the IT device, and the IT staff can only try to save the core data.
However, if you have the ability to track the data of the whole center and understand its tiny position in the whole room, it will make the cooling more effective and make the data center work smoothly without the downtime.
This ability also means that data center managers do not have to seek to expand the physical space of the machine room. By installing new and improved toolkits, data center managers can track data and see how data can be stored more efficiently.
Without this vision, data center managers may need more budget, waste time and expenses to build new room space or install more rack.
Power interrupts and downtime in the data center will cause a lot of damage and impact on the profits of users and operators, such as the unexpected shutdown of Microsoft Azure services for customers in northern Europe in 2017. If no lessons were learned from such events, the future revenue stream of the data center operators would be huge. Influence. After all, if the user's trust is not obtained, the reputation of the operator will be disastrous.
It is time for organizations to protect themselves, using monitoring software to ensure that enterprises can not only maintain operation, meet their income needs, but also be able to combine with the latest increment in the space of the machine room, so as to prepare for the intelligent planning of the future service.
From a simple cost-benefit analysis, it is not worthwhile to rely on outdated, obsolete (usually artificial) solutions without implementing the DCIM solution. The organization uses DCIM to implement intelligent real time decisions on monitoring, network, and usage patterns for the entire data center. In addition, the organization can also introduce a failure guarantee. Risk mechanism, which can use a custom alert creation form, to get the correct information to the right team or individual, so that they take evasion measures to avoid future data interruptions, and taking preventive measures will always bring some benefits.
DCIM can be a protective measure to reduce the growing burden of existing infrastructure to ensure that the organization is as efficient as possible, and requires a single view of the data and performance issues in the data center. It is no longer an additional component, but an important component of the organization's data center to save money and time and improve performance. Points.
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