A big data server node performance monitoring method and system
A server node and big data technology, applied in transmission systems, energy-saving computing, electrical digital data processing, etc., can solve the problems of affecting test efficiency and inaccurate performance monitoring of big data server nodes, avoiding confusion in diagnosis and improving test efficiency. , the effect of improving the accuracy
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Embodiment 1
[0056] see figure 1 , figure 1 It is a schematic flowchart of a method for monitoring the performance of a big data server node provided by the embodiment of the present application. Depend on figure 1 It can be seen that the method for monitoring the performance of big data server nodes in this embodiment mainly includes the following processes:
[0057] S1: Establish a performance baseline pool based on the IP addresses of the big data server nodes and the performance baseline data formed by the big data server nodes during the centralized performance stress test stage.
[0058] The performance baseline data in this embodiment at least include: a disk performance baseline, a memory performance baseline, a CPU performance baseline, a network performance baseline, and a service performance baseline.
[0059] Specifically, step S1 includes the following processes:
[0060] S11: According to the IP address of the big data server node, obtain the performance baseline data for...
Embodiment 2
[0085] exist figure 1 and figure 2 On the basis of the illustrated embodiment see image 3 , image 3 It is a schematic structural diagram of a big data server node performance monitoring system provided by the embodiment of the present application. Depend on image 3 It can be seen that the big data server node performance monitoring system in this embodiment mainly includes: a performance baseline establishment module, an actual performance state data acquisition module, a performance monitoring identification module, a correction module and a data output module.
[0086]Among them, the performance baseline establishment module is used to establish a performance baseline pool based on the IP address of the big data server node and the performance baseline data formed by the big data server node during the centralized performance stress test stage. The performance baseline data includes: disk performance baseline, memory performance Baseline, CPU performance baseline, ne...
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