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Key Metrics for Monitoring Application Performance

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kylie692c
Key Metrics for Monitoring Application Performance

The process of tracking, analyzing, and improving the performance of software applications is known as application performance monitoring. The goal of application performance monitoring is to ensure that applications meet the performance expectations of users, as well as to identify and resolve any performance issues that may arise before they negatively impact the user experience.


The design, code, infrastructure, and user environment of an application are just a few examples of the many variables that might affect how well it performs. Tools for monitoring application performance gather information about a program's operation and help to locate and resolve performance problems.


In general, monitoring the performance of software applications is essential to guaranteeing their quality. By monitoring, analysing, and enhancing application performance, businesses can make sure their applications satisfy user expectations and deliver a great user experience.


So, if you're unsure of how to gauge an application's performance, you've come to the perfect spot. The SitePing team spends a lot of time considering application performance monitoring, in particular, how to track and enhance it. Our team will go through some of the most crucial application performance monitoring metrics to pay attention to in this article.


List of Metrics for Monitoring Application Performance


1. Apdex Scores and User Satisfaction


The industry standard for measuring application performance is the Apdex score. It operates by limiting an application's task request or transaction time and assessing its performance.


These transactions are then satisfied (fast), tolerated (slow), too slow, or failed. A simple arithmetic method generates a 0–1 performance score.


SitePing automatically tracks application and team request satisfaction levels. Instead of a 0-1 scale, the team used a 0-100 scale to simplify things.


2. Standard Response Period


First of all, let me state that averages are horrible. I strongly suggest keeping track of overall performance utilising the aforementioned customer satisfaction Apdex scores. Averages are still a valuable indicator for keeping track on application performance, though.


3. Rates of Error


The last thing you want our users to see are errors. An essential measure for tracking application performance is error rates.


There are three approaches that can be used to monitor application errors:


HTTP Error: The proportion of teamb requests that were unsuccessful.


The number of unresolved and logged exceptions from our application.


Thrown Exceptions - The total number of exceptions.


Within an application, thousands of exceptions are frequently thrown and ignored. Many different performance problems can result from hidden application exceptions.



4. Application Instance Count


Knowing how many server/application instances are active is essential if our application scales up and down in the cloud. Our application may be auto-scaled to meet demand while also allowing you to save money during off-peak hours. This creates some fresh monitoring difficulties.


You might never see our CPU exceed 100%, for instance, if our application scales up automatically based on CPU usage. Instead, there would be more instances of the servers. (Not to mention the increasing cost of our hosting!)


5. Request Amount


The success of our application will depend on how much traffic it receives. All other application performance monitoring KPIs may be impacted by increases or declines in traffic.


To better understand how our application scales, request rates can be utilised in conjunction with other application performance monitoring data.


You can identify spikes or even idleness by keeping an eye on the request rate. This could be a very dangerous warning if your busy API suddenly stops accepting traffic.


A comparable but significantly distinct metric to track is the number of concurrent users. You should monitor this additional metric to see how it correlates.


Conclusion


For all kinds of applications, measuring and monitoring application performance is crucial. Depending on the type of application, there can be additional monitoring needs.


You can get help from SitePing in keeping track of a variety of team application performance indicators. Critical data about our apps, servers, code level performance, application failures, logs, and other information is gathered by SitePing. These can be utilised to gauge and keep an eye on the effectiveness of our application.


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