The growing number of users of existing applications in production environments makes the role of the server also important to consider. You need to know about the health of the application and also the performance of the system that is in it so that its performance can run better. In order to support this monitoring, metrics are needed to steam it. 

Those of you who want to know more about server performance metrics can immediately check all the full explanations below!

  1. Utilization of hardware

The first metric to consider for server monitoring is hardware utilization. Any application or server running in it can be directly limited by the resources that are deliberately allocated for its use. That way the process of tracking resources becomes an important key. 

Especially if you want to know about the determination of obstacles or not from the resources in question. There are at least 3 main aspects that are important to consider here, ranging from the processor, RAM, and memory to disk space and also usage in it. When you review all these components, then it can be easier to know the overall bottleneck. 

As well as about physical and visual computers that are driven by components to make them more powerful. For this reason, this metric will tell you the answer about what physical components need to be improved to improve work efficiency in it. An example of this is when you need to render data from a physical hard drive. 

If in this case there is congestion from data collection while the hard drive is still spinning, then there is indeed a decrease in the performance of the hardware used. You can do monitoring and also replace devices that experience this decline.

  1. The staff is friendly and helpful

The average response given or also known as PRT peak response time is a measurement that involves measuring the longest response for all requests that have entered the related server. This is a good indicator to know the side of performance problems that occur in the application. 

It is important to understand that PRT itself also not only provides an overview of the application that causes congestion but also helps determine the cause of congestion that occurs on The Associated server network. An example to make it easy to imagine is when you open a web page when conditions are critical. 

It turns out that the web page is very slow or the call given is so slow that you will have difficulty getting the information needed on it. Response times that turn out to be slow can be an important criterion for changes or other obstacles that exist in your server network.

  1. Average Response Time

Many people equate this average response time with peak response time when both have significant differences. The average response time is also called the average response time, abbreviated ART, to the time it takes for the server to be able to respond to all requests submitted in it. 

This metric is useful for measuring and looking at the overall performance provided by the application. In addition, this metric can also be used to see the overall performance of the application and also an overview of the use of the application. The lower the number given, of course, the better the result. 

This ART certainly cannot be used as the only measuring metric considering that there are still other components that must be considered considering that high ART only in some areas directly affects the overall number.

  1. Data I/O 

The fourth metric you can use is data I/O The purpose of this designation is input and output data. This metric for input data becomes an important measure of the payload of incoming requests to the associated web server. In addition, this metric also has a low reference value, which is better than the payload sent to the server, which is also smaller. 

High data can provide information such applications require more information than usual. Next there is what is called the output data that contains the response from the client. Usually the website will increase in size when there are many users, so that the problems that occur in it are also getting higher and more crucial. 

This is what makes the response load in it easier to swell and makes the website in it slower. This will give a bad experience for visitors on the website.

  1. Requests Per Second

Furthermore, the metric parameters that can be used are regarding requests per second. Requests per second is also called throughput as well as the name reduced by the number of server requests received every second. This is what makes the basic metrics measure the main purpose of related websites. 

The intention is to receive and also process related requests. In this case, if the load given is greater, then the server can be slow and fall. In addition, you also need to consider the long-term impact of server-to-server-related requests. This metric does not consider all sides of the submitted request. 

So this metric also cannot be used as a stagnant reference for all problems that occur on your server or website. The more metrics used for measurement, the more valid the measurement process and the results obtained later.

Netmonk Helps Server Monitoring Process Easier

Netmonk is an application software that can be used for Linux server network monitoring needs whose credibility is unquestionable. Netmonk has the ability to detect the visibility and performance of the server both in virtual and physical form so that the operation becomes easier. 

One of the advantages of Netmonk for network management and monitoring is its more proactive nature, so that it supports a more secure system for maintenance needs during the process of its use. There are several things that make Netmonk able to overcome all problems according to the metrics described above. 

  1. Netmonk is able to provide better server agent installation related to data and server configuration in it. You no longer need to do the configuration process manually considering that it takes longer. 
  2. You can get a more complete performance monitoring process 24/7 and directly without any pause so that the data obtained is also more real. 
  3. In addition, Netmonk helps the system be proactive for better maintenance needs considering that all notifications are given directly sent to email and Telegram at that time. 

For those of you who need a metric system to monitor or simplify network monitoring systems, don’t forget to directly use Netmonk for a more practical experience. In addition, the subscription price for the long term is also more affordable!