With the development of applications and technologies, the construction scale of data centers is characterized by polarization. On the one hand, trends such as service concentration and resource sharing are driving the development of data centers to scale. On the other hand, small data centers are solving resource bottlenecks. Problems and the role of providing differentiated services have become increasingly evident.
The centralized and large-scale construction and vertical distribution of IT systems have raised new requirements for the management of infrastructure. These requirements have been concentrated on integration, continuous high availability, economical operation, and serviceability, and have become data centers. The key KPIs for sustainable development, and Data Center Infrastructure Management (DCIM) based on it, have become the key elements of refined operation and construction.
1 Why We Need to Build Refined OperationsThe early data center management focused on "monitoring", with a single management object, a simple network, and obvious management characteristics of the chimney, which could not sustain the sustainable development of the business. The development of the Internet of Things, M2M, and cloud technologies has made it possible to connect a large number of devices. As infrastructures have become increasingly integrated, the scale and complexity of data have increased. The following features have emerged:
1. The convergence of the industrial chain of the field, the connection of massive hardware and software, and the unified management of resources are the basic requirements;
2. To ensure continuous power supply and continuous cooling, and to build a resource service center with the least internal friction and the greatest effectiveness to meet the challenges brought about by resource concentration and cost control, and become a common topic for IDC construction and process operations.
3. The maximization of the use of resources such as power supply, cooling capacity, and cabinet space has become an effective method to reduce TCO and extend the construction period of data centers;
4. At the same time, DCIM management and tools quickly penetrated into the E2E process of data center infrastructure management, providing basic technical conditions for automated, intelligent, efficient operation and maintenance and fine management;
Building a complete data center involves a full range of infrastructure, technology and system architecture, applications and data, business and processes, organization and operations. Through the operation and management of infrastructure, it reduces data center operations and management costs, improves data center ease of use, continuous availability, and flexible scalability, protects investment, improves returns, and helps users achieve IT innovations and even business innovations. The basic requirements of operations.
2 Refined operational framework to meet the requirementsThe construction of data centers is the integration of industrial chains in different fields. Infrastructures are characterized by heterogeneity and domain differentiation. A universal management model needs to be established to achieve unified and integrated management so as to ensure that the system is automatically changed when the business changes. Tuning to achieve efficient and accurate management.
2.1 Unified and Convergent Management
The development and evolution of technology, business, and processes have driven the continuous development of data center management goals and functions.
The infrastructure management of the data center has evolved from basic dynamic management to DCIM, and the scope has been gradually extended to BMS and IT resources.
The management system has evolved from isolated resource monitoring, systems, and networks toward unity, integration, service-oriented, and process automation.
Management functions range from data collection, discovery, real-time monitoring, historical data analysis, decision analysis, and automatic response. Collect actual data and analysis, statistics, and reports of data, and give execution strategies as the key to differentiated competitiveness.
Unified and converged management requires a unified data model to realize the management of the same framework for multi-source data. It requires an open platform and system architecture to provide more flexibility for the selection of system management tools.
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