The rapid development of the Internet has accelerated the construction of information systems and enlarged their scale. The types and numbers of devices in different information systems have increased, and the network structure has become increasingly complex. As a result, problems such as system faults cannot be accurately located and system status cannot be grasped in real time occur from time to time, which brings great work pressure to operation and maintenance personnel. The application of visualization technology has changed the traditional human operation and maintenance, and simplified the operation and maintenance from complexity.
What is visualization? Visualization is to map a large amount of data generated by a wide variety of information sources into geometric elements, and then describe them into graphics and images to show them clearly and intuitively.
For O&M, visualization is to provide an efficient, consistent, transparent and user-oriented service, which is also the value of O&M. As follows, we discuss operation and maintenance visualization from three dimensions.
From the perspective of services, a service application analysis model is built to compare and analyze service systems, including health, busyness, availability, times of outages, and duration of outages, to accurately measure the health differences of service systems.
From the perspective of fault management, you can collect alarm information about device resources, applications, and services, and configure alarm thresholds by various alarm mechanisms. This section describes how to display alarm data in charts by time, resource, and performance type.
In the sense of data, the quality of data will directly affect operation and maintenance analysis and decision-making. Targeted operation and maintenance data analysis with the help of the big data platform can mine more and more detailed indicators and data. Through data integration and correlation, accurate analysis and decision-making can be assisted, and ultimately good user experience can be guaranteed. In short, data can generate value.
Visualization of the operation wiki on the running status of various devices in the system can timely find the faults in the system, and take corresponding measures to ensure the normal and stable operation of the system, help operation and maintenance personnel to solve problems, improve efficiency, and simplify operation and maintenance.
Adhering to this principle, Cloud Helper focuses on improving operation efficiency and combines actual business requirements to practice visual operation and maintenance from three aspects of monitoring, alarm and log, and establish data analysis model to provide decision support for business efficiency improvement.
Build an operation analysis platform to visualize important business and present it on PC, WEB and mobile terminals
Unified processing and correlation analysis are performed on various business indicators and IT performance indicators
Monitor and manage platform data indicators and forecast alarms
Ensure the safety, operability, ease of use and maintainability of the platform during operation
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