Monitoring Server Performance: Key Metrics to Track

Since every organization in the modern world needs a server to run its website and applications, servers are the application's brain. They are designed to operate nonstop for a full 24-hour day. In such circumstances, having a poorly performing server can significantly affect the performance of your website and ultimately hurt your company in many ways. So, to guarantee the server's optimal performance, server performance monitoring is essential.

Monitoring a few key metrics will make it simple for you to understand how your server is doing and what server optimization techniques you should use.

Without further ado, let's talk about some of the important server performance monitoring metrics that you should monitor to get the best results.

Important Server Performance Monitoring Metrics

Server performance monitoring aids in identifying problems and resolving them as soon as possible before they begin to affect performance. To find bottlenecks that are lowering performance, the server performance should be assessed using the appropriate performance indicators.

The most crucial Key server performance monitoring indicators that you need to monitor are listed below.

Uptime

Given that it depends on the availability and dependability of the server, uptime is one of the most important servers performance monitoring indicators. It is determined by how long the server has been turned on and is in use. When a server displays a 99.99% uptime value, it means that 99.99% of the time, the server has been operational and accessible to users. The uptime or downtime value can be determined by third-party services, and it is an essential server performance monitoring metric.

Maximum Response Time

The peak response time, or PRT, is regarded as a crucial performance indicator that aids in determining which requests from a given server will receive the longest responses. It aids in identifying the anomalies that contributed to the longer response time and aids in locating pages that experience loading problems or hang-ups.

Average Response Time

The average amount of time required by the server to respond to each request is known as the average response time. It takes into account the amount of time that elapses between the end user's initial request and the server's final response byte. As a measure of server performance, ART is crucial in determining how well the server is performing. In terms of predicting the end-user experience, ART is essential. The better the server performance, the lower the number.

System-level Performance Metrics

Regular measurements aid in enhancing the server's performance. Poor performance typically happens when the system experiences resource bottlenecks, low RAM, low disk space, or high CPU utilization.

If processing requests consumes all available memory, you may need to pay close attention to any underlying issues. System-level performance metrics improve server performance and make quick troubleshooting much simpler.

Error Rate

Large data loads on a server increase the likelihood of errors occurring during request processing. The number of unsuccessful requests at a given time is indicated by the error rate. The proportion of requests with errors compared to all other requests is the error rate. No user wants to experience a problem, whether it is a 4xx, 5xx, or any other error. Since an error rate can be viewed as a performance failure, it is crucial to keep it as low as possible. A normal error rate is less than 1%.

OS Log Files Monitoring

Log files keep track of any errors or anomalies the operating system may have encountered. Log file monitoring is the process of analyzing the event logs. It can aid in problem-solving, the identification of weaknesses, and the defense against malicious attacks of any kind. You can protect your OS from attacks by routinely monitoring and closely observing log file activity.

Network Traffic Monitoring

It's critical to keep an eye on your network bandwidth usage. Performance can be negatively impacted by excessive bandwidth usage. The main factor behind a sudden increase in network traffic is malware attacks or hacking attempts. For better network performance, regular network traffic monitoring will make it simple to spot any anomalies and fix bandwidth bottlenecks.

Conclusion

The above-mentioned ones are not the only ones that server performance monitoring includes. Many areas require special attention in addition to CPU and memory optimization. The secret to achieving optimal server performance is to optimize your server environment based on the data collected. To achieve the best performance, data centers should implement an extensive server performance monitoring and management strategy.

Skynats offers businesses all over the world premium server management services. We can assist with ongoing server optimization to guarantee peak performance.