What are the characteristics of an excellent operation and maintenance monitoring system?

What are the characteristics of an excellent monitoring system

It is generally believed that an excellent operation and maintenance monitoring system needs to have the following characteristics

  1. Fast, system faults can be found and reported in time
  2. Accurate, no false alarms, repeated alarms, it is best to remove the alarm noise and push valuable alarms
  3. Complete, one platform monitors all operation and maintenance objects, avoiding incomplete information and failure to analyze the root cause of failures caused by isolated operation and maintenance islands
  4. Closed loop can detect problems and provide solutions and capabilities to solve them. This is generally lacking in the current mainstream monitoring system.
  5. Out of the box, lightweight deployment.

The LinkSLA intelligent operation and maintenance housekeeper has been repeatedly reflected on the platform around the above points. Let’s talk about a few technical details.

  1. The system collects once every 30 seconds by default, so problems can be found and reported quickly.
  2. The system provides preset alarm rules, and the alarm rules support a variety of custom functions, machine learning algorithms, simple and complex expressions to maximize alarm suppression and anti-shake, to reflect the authenticity of the alarm
  3. Merge alarms through business system links, time and other factors. Through business system links, you can view the impact analysis of events on business and assist in root cause analysis. At the same time, it also provides knowledge recommendation for user reference.
  4. From the receipt of the work order to the closed loop, MOC engineers track and supervise the whole process. Finding problems, solving them, and avoiding similar problems is the value of our platform.
  5. Our platform is based on saas, and users only need to download the collector to quickly access the platform.

 

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Origin blog.csdn.net/LinkSLA/article/details/132080009