In cloud computing/virtualization environments, resource waste caused by excessive application, long-term idleness, and uneven operational efficiency is quite common. Without the tools for collecting and analyzing cloud computing/virtualization operation and maintenance data, it is difficult to accurately grasp the long-term usage status and trend of environmental resources, making it impossible to achieve accurate resource adjustments to ensure efficient usage, and also unable to provide well-founded environmental resource planning to support business innovation and development.
To address these operational challenges, the ITGo virtualization management platform from Futong Yunteng provides resource usage reports by collecting operation and maintenance data from cloud computing/virtualization environments,using big data technology to establish data models for various analyses, accurately informing users of the historical curves and trends of resource usage rates, the performance of typical configurations of virtual machines, estimations of the number of typical virtual machines that can be created with remaining environmental resources, statistics on recoverable resources, and specific resource optimization targets.
Visually Present Resource Usage EfficiencyThe resource usage report analyzes resource usage efficiency based on data centers, clusters, resource pools, and folders (which can correspond to a type of business or department).It can visually present the total amount of resources applied for by this unit and the resource usage efficiency curve, clearly indicating whether the virtualization resource usage efficiency of this business/department is low, normal, or excessive,and can estimate the resource depletion time based on the changes in the resource usage rate curve for management decision-making reference.
Filter Typical Configuration of Virtual Machines
The resource usage report also filters out the three most common types of virtual machine configurations in the cluster, resource pool, or folder. It presents these three virtual machines’ specific configurations, their proportion in the virtualization environment, and long-term average performance in a list format, and estimates the remaining resources in the environment and the number of new typical configuration virtual machines that can be added.
This featureprovides a basis for judging whether the configuration of newly requested virtual machines is reasonable by comparing the new virtual machines with existing ones in terms of workload and configuration, confirming whether the new virtual machine configuration is reasonable,providing strong support for reasonable planning of virtual machines and eliminating resource waste.
Virtual Machine Resource Recovery Suggestions
The resource usage report lists TOP N virtual machine resource recovery suggestions, providing TOP N virtual machine resource recovery suggestions based on CPU, memory, and storage dimensions, as well as the total amount of recoverable resources, and also provides a list of resource optimization suggestions for all virtual machines in that range.
The resource usage report provided by the ITGo virtualization management platform,clearly proposes optimization paths and the amount of recoverable resources for excessively allocated resources, while also providing the change curve of resource usage rates and the status of resource surplus, as well as estimations of the number of virtual machines that can be added,making it a powerful tool for improving resource usage efficiency in cloud computing/virtualization environments, reducing resource waste, and scientifically and rationally planning resources.
In response to operational challenges such as difficulty in analyzing running data in enterprise virtualization environments, real-time monitoring management, health inspections, slow fault response, and resource optimization, the ITGo virtualization management platform from Futong Yunteng uses big data analysis and intelligent operation and maintenance technologies to effectively monitor, manage, and analyze various operational data of virtualization, achieving enhanced functions such as operational auditing, compliance checks, resource trend analysis, and efficiency optimization, ensuring the efficient and stable operation of data centers using cloud computing/virtualization technologies.
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