Server performance – Have you ever read about cases where servers are not monitored properly so that sudden increases in traffic are not detected? As a result, the server experiences overloading and stops responding to user requests. Because there is no quick action, the server experiences downtime for several hours and causes losses to the business.

This shows how important server monitoring is to prevent damage and data loss. Before discussing server monitoring further, it would be good for you to know what server performance is.

About Server Performance

Server performance is the ability of a server to provide optimal performance in carrying out its tasks. Server performance can be measured by several factors, such as response time, data transfer speed, loading time, and others. Poor server performance can cause problems such as downtime, errors, and the server’s inability to handle user requests.

Improving server performance can be done in several ways, such as increasing hardware specifications, optimizing server settings, and fixing application code. In monitoring server performance, this can be done by monitoring CPU, RAM, and storage usage.

Examples of data that can be used to measure server performance include:

  • Server response time; This is how quickly the server responds to user requests. Ideally, the server response time should be less than 200 milliseconds.
  • Data transfer rate; how much data can be sent at one time. A good data transfer rate should be above 100 Mbps for web servers.
  • Uptime rate: how long the server can operate without downtime or failure. Ideally, the server should have an uptime rate above 99%.

By monitoring and improving server performance regularly, you can help ensure that the server is operating efficiently and delivering optimal performance.

Metrics to Monitor in Server Performance

Monitoring server performance is very important to ensure that the server is running efficiently and delivering optimal performance. There are several metrics that need to be monitored in server performance, including:

  1. CPU Usage
    This metric monitors CPU usage by the server. If CPU usage is too high, the server can become slow and respond slowly to user requests.
  2. Memory Usage
    This metric monitors memory usage by the server. If memory usage is too high, the server will become slow and even crash.
  3. Network Traffic
    This indicator monitors the volume of data that will be sent and received by the server. If traffic is too high, the server can become slow and affect its performance.
  4. Disk Space
    This metric monitors disk space usage by the server. If storage space is too full, the server can experience problems and even crash.
  5. Uptime
    This metric monitors the time the server spends active and has no downtime. Good uptime indicates that the server is stable and reliable.
  6. Response Time
    This metric monitors the time it takes for the server to respond to a user request. Fast response time indicates good server performance.
  7. Error Rate
    Or commonly called error rate is an indicator to monitor the number of errors that occur on the server. If the error rate is too high, the server may be experiencing problems that affect server performance.

By monitoring this metric regularly, server administrators can quickly identify server problems and take action to improve server performance. The good news is that now the server monitoring process can be done automatically using tools, one of which is Netmonk Prime.

Reference sources:

https://www.parallels.com/blogs/ras/server-performance-monitoring


https://www.appdynamics.com/product/server-visibility/server-performance-metrics