#Web application monitoring how to
#Web application monitoring code

Monitoring the CPU usage of your server and applications is a basic and critical metric. If the CPU usage on your server is extremely high, you can guarantee you will have application performance problems. This is another interesting metric to track to see how it correlates. If you have a busy API that suddenly gets no traffic at all, that could be a really bad thing to watch out for.Ī similar but slightly different metric to track is the number of concurrent users. Monitoring the request rate can also be good to watch for spikes or even inactivity. Request rates can be useful to correlate to other application performance metrics to understand the dynamics of how your application scales. Potentially all other application performance metrics are affected by increases or decreases in traffic. Understanding how much traffic your application receives will impact the success of your application. (Not to mention your hosting bill going way up!) 5. You would instead see the number of server instances get high. This also creates some unique monitoring challenges.įor example, if your application automatically scales up based on CPU usage, you may never see your CPU get high. Auto-scaling can help ensure your application scales to meet demand and saves you money during off-peak times. If your application scales up and down in the cloud, it is important to know how many server/application instances you have running. Hidden application exceptions can cause a lot of performance problems. It is common to see thousands of exceptions being thrown and ignored within an application. Thrown Exceptions – Number of all exceptions that have been thrown.Logged Exceptions – Number of unhandled and logged errors from your application.HTTP Error % – Number of web requests that ended in an error.

There are potentially 3 different ways to track application errors: Monitoring error rates is a critical application performance metric. The last thing you want your users to see are errors. That said, averages are still a useful application performance metric. I highly recommend using the aforementioned user satisfaction Apdex scores as a preferred way to track overall performance. Let me start by saying that averages suck. We convert the number to a 0-100 instead of 0-1 representation to make it easier to understand. Retrace automatically tracks satisfaction scores for every one of your applications and web requests. A simple math formula is then applied to provide a score from 0 to 1. Those transactions are then bucketed into satisfied (fast), tolerating (sluggish), too slow, and failed requests. It works by specifying a goal for how long a specific web request or transaction should take. The application performance index, or Apdex score, has become an industry standard for tracking the relative performance of an application. In this article, we cover some of our most important application performance metrics you should be tracking.

#Web application monitoring how to

We spend a lot of time at Stackify thinking about application performance, especially about how to monitor and improve it. This allows you to react quickly before problems become severe.If you are trying to figure out how to measure the performance of your application, you are in the correct place. application doesn't respond or web server is offline). If desired, you get a prompt alert whenever PRTG discovers a defined status (e.g. You gain a concise overview on individual dashboards as well as detailed statistics about every application running in your network. PRTG helps you to keep control over all your applications. PRTG is your all-in-one application manager Administrators and IT teams in SMEs, however, are less concerned by these tools what they need are monitoring solutions which can monitor standard applications such as databases, mail servers, and firewalls.

#Web application monitoring code

When it comes to application performance monitoring, there are two different kinds to choose from:Ī recent trend in the area of monitoring solutions for individual web applications involves the use of cloud-based tools like New Relic and AppDynamics, which can monitor the performance of highly complex web applications at the source code level. Two different kinds of application management