Active monitoring of power engine technology reliability analysis

Publisher:名字太长了吗Latest update time:2011-11-14 Keywords:Active Reading articles on mobile phones Scan QR code
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The monitoring power engine, as the core of active monitoring, directly determines the quality of the entire monitoring platform.

An active power engine can be evaluated from the following aspects:

Job stability

Once the monitoring platform is deployed in the customer's production environment, it must take the responsibility of being the first to discover faults in the IT system, and the IT system usually plays a vital role in the business of many customers. Customers often have high hopes for it when they first deploy the monitoring platform. If the monitoring platform itself cannot work stably for a long time, the value it brings to customers will be greatly reduced. The responsibility of the monitoring platform is to discover software and hardware failures in the IT system. If it itself often has problems and cannot work stably, then there is no question of monitoring other systems. Therefore, stability is the primary indicator for evaluating a monitoring power engine.

Reliability of monitoring

This refers to the reliability of monitoring results. Correct monitoring results are the cornerstone of the monitoring platform. All events, reports, and alarms that the monitoring platform can generate are based on each monitoring result generated by the power engine. If there are no reliable monitoring results, there will be no correct events, reports, and alarms. If correct reports and alarms cannot be obtained, the monitoring platform loses its meaning of existence for customers. Therefore, the reliability of monitoring results is also a core indicator for measuring a monitoring power engine.

performance

In addition to the two necessary conditions mentioned above, the performance of a good power engine is also very important. If a monitoring platform consumes all the machine resources after adding only a small number of monitoring objects, it can hardly be called a good monitoring platform. Such a platform is not only a waste of resources, but also increases the customer's deployment and management costs. It is not an environmentally friendly solution. The performance of the entire platform depends to a large extent on the performance of the power engine.

Minimum scheduling frequency for monitoring

Due to the importance of key businesses, customers are no longer satisfied with minute-level monitoring of certain core devices (such as core routers, switches, and servers running key businesses, etc.) and businesses. Customers need to obtain the working status of these devices in a more timely manner. A good monitoring platform should be able to find problems in the shortest time possible. The earlier the fault is discovered, the more it can avoid major losses for customers. This requires the power engine to provide a dispatch frequency that is as fast as possible.

Maxim IT business management software uses the industry-leading TaskDispatcher complex task distribution technology developed independently to reduce the monitoring granularity from minutes to seconds to ensure the real-time and accuracy of monitoring data. Users can set the monitoring frequency interval to 5 seconds, 10 seconds, 15 seconds to 30 seconds (any multiple of 5 seconds can be set). In this way, when the customer's key equipment has an abnormality, the problem can be discovered in the first time, an alarm can be issued, and precious time can be saved for the customer to solve the problem.

Scope of application: Customers who have high requirements for real-time fault response, such as operators, banks, gas stations, highway toll stations, etc.

Scalability

In the actual customer environment, after the monitoring platform is deployed, the IT equipment will gradually increase, the system scale will become larger and larger, and the pressure on the monitoring platform will naturally increase. After a long time, it will always exceed the design capacity of the monitoring system when it was originally deployed. In this case, there are often only two options. One is to purchase a new monitoring system and deploy it on another machine, forming two or more independent parallel running systems. The result of this is an increase in the customer's maintenance workload. Each system must set up permissions, reports, statements, and alarms separately, and cannot be accessed and managed from one interface. The longer the time, the greater the inconvenience to the customer. The other option is to expand on the original system. To do this, you only need to add more hardware monitoring machines. All settings are performed in the same system, and users still access and manage through the same interface without feeling any changes in the background. To meet the second option, the monitoring power engine needs to have good scalability.

In summary, to develop an excellent power engine, the above five indicators must be considered.

The active monitoring engine - TaskDispatche, was designed to meet the above five indicators to the greatest extent at the beginning, and the core purpose of improving these indicators has always been in the subsequent research and development and testing. Facts have proved that TaskDispatcher has lived up to expectations and achieved excellent results in all the above indicators. Its stability and reliability have been proven in a large number of customer groups and won the reputation of customers. Its performance has also been tested by major customers such as the headquarters of PetroChina, which has many servers; and its minimum scheduling frequency has reached the second level, which is rare among similar products in the world. What is even more rare is that it can ensure the minimum consumption of resources while scheduling a large number of second-level monitoring. The good scalability of the Maxim management platform has reached the level of a system that can monitor more than 100,000 devices, and it has also perfectly realized multi-machine load balancing and intelligent monitoring task allocation. When one or more machines are down, other machines will automatically load their monitoring tasks, ensuring that the monitored devices are always in a monitored state to the greatest extent, thus providing an excellent heart for the high-performance Maxim IT management platform.

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