Key metrics to keep track in APM

An Application Performance Management (APM) software measures set metrics, analyses applications to detect potential performance problems, alerts administrators in real time when performance baselines are not met, identifies the root causes of performance issues, and often help teams to resolve issues before they impact users or the business.

APM is critical to the success of a business as it connects application performances and the customer experience to business outcomes. It tracks everything from the behaviour of physical hardware, virtual machines where applications reside, JVM that runs the application environment, web containers, databases, caches, external web services, and the code running the application itself. APM also provides detailed insight into the end-user experience and the quality-of-service customers are receiving.

APM solutions come with tools that measure and monitor different components of APM metrics. These metrics help to empower the company as they keep a watch on the quality, performance, and business value of the applications created and operated essential to the success of the company.

Let’s take a look at the key metric to track in APM

ESS ITAM solution highlights

  • Average Response Time Average response time is a cornerstone metric to determine how an application is performing as a whole. Combined with deploy tracking, it can tell how a new deploy has increased average load times for all users. It helps developers to understand when a new area of code needs to be addressed immediately.
    The average response time also refers to the amount of time an application takes to get back to a user’s query or request. This is measured by testing the application under different circumstances, like the number of users or number of transactions requested, including factors like user’s geographic location and complexity of the information asked for.

  • Error Rates Monitoring error rates is a critical and powerful metric of application performance management. It is important to be able to track errors and identify how they occurred. To be able to receive notifications right when errors occur, as well as see the number of times the error has occurred in a and know instantly whether the issue needs to be addressed immediately, or if the errors are part of something larger, is a very crucial metric of application performance management.

  • Request Rate Understanding the amount of traffic an application receives impacts the success of the application. Moreover, all the other APM metrics are affected by fluctuations in traffic. Request rates are useful to combine and corelate to other metrics for understanding the dynamics of how the application scales. It helps to monitor the request rate to watch for sudden spikes or even sudden inactivity in an otherwise busy API. Another corelated and interesting metric to track is the number of concurrent users.

  • User Satisfaction / Apdex Scores The Apdex score or the application performance index, refers to measurement of a user’s general level of satisfaction when using an application. This is an industry standard to track the relative performance of an application. The tracking works by specifying a time goal for a specific web request or transaction and a value between 1 and 0 indicating three categories of customers from happy and satisfied to dissatisfied and frustrated for a score of 0. This can be a valuable metric to look at when deploying new features

  • Application and Server CPU and Memory If the CPU usage on machines is very high, or there are limited memory resources, it is sure to lead to application performance problems. So, it is a critical and basic metric to monitor the CPU usage of the servers, cluster and applications and get monitoring alerts. While it is important to track them per server, it is equally important to track them as an aggregate across all the individually deployed instances of the application.
    Different languages allocate memory differently and it is vital for scaling, to know how and when a language both allocates and cleans up memory. This can be challenging if the application sees a massive throughput increase in different areas. Tracking the amount of memory, the application uses helps to recognize memory leaks that could eventually cause a failure. It also helps to make sure the application has sufficient memory to perform well.

  • Application Availability It is very important to monitor and measure if your application is online and available. This is a key metric to track and a lot of organizations use this as a way to measure uptime for SLAs.

  • Garbage Collection An application written in .NET, C#, or other programming languages that use garbage collection can have performance problems arising from it. Sometimes it causes the process to halt and can use a lot of CPU space. This is a hidden performance problem and tracking garbage collection metrics will definitely help.

As businesses go through digital transformations, the risk of app downtime goes up, making application performance management and monitoring more important than ever.

APM is essential to ensure software application availability, to understand how application releases affect service performance, security, and reliability. They also enable teams to set up alerts for detecting and solving issues before they impact user experience, and they enable them to set up automated actions based on specific events, patterns and trends.