![]() ![]() This page describes how to set up a Bloomreach Experience Manager application server according to our best practices. Example Application to Monitorįor this example, we’re gonna use a small web service application that uses an H2 database, built with Maven and Jersey.Configure the Application Server (Apache Tomcat on Linux)Ĭonfigure an application server using the Bloomreach Experience Manager standard stack, running Apache Tomcat on a Linux operating system. ![]() To continue this article, we’re going to take a look at each area of performance, any MBeans definitions that can help monitor it, and how you can view their values.īut first, let’s start with defining a very simple application that we’re gonna use as an example to monitor. The Tomcat server comes to your aide in monitoring performance by providing JMX beans for most of these metrics that you can verify using a tool like Tomcat Manager or JavaMelody. uptime – this is a simple measure that shows how long your server has been running or down.error rates – this metric is helpful in identifying any issues in your codebase.database connection pool – monitoring this can help tune the number of connections in a pool that your application needs.response time – if your system takes too long to respond to requests, users are likely to quit so it’s crucial to monitor this response time and investigate the potential causes.number of sessions – a similar measure to the number of requests is the number of sessions that the server can support at a time.request throughout – this metric refers to the number of requests that the server can handle for a certain unit of time and can help determine your hardware needs.thread usage – if there are too many active threads at the same time, this can slow down the application, and even the whole server.garbage collection – since this is a resource-intensive process itself, you have to determine the right frequency at which it should be run, as well as if a sufficient amount of memory is freed up every time.memory usage – this reading is critical, since running low on heap memory will cause your application to perform slower, and can even lead to OutOfMemory exceptions on the other hand, using very little of the available memory could mean you could decrease your memory needs and therefore minimize costs.Here are some of the key areas you’ll want to monitor: ![]() When checking the performance of an application deployed on a server, there are several areas that can provide clues as to whether everything is working within ideal parameters. In the following sections, let’s take a look at how you can setup Tomcat monitoring and what metrics can be used to keep tabs on performance. Of course, it’s important to know what is relevant to monitor and what are acceptable values for the metrics that are being watched. Tomcat performance monitoring can be done either by relying on JMX beans or by using a dedicated monitoring tool like MoSKito or JavaMelody. Monitoring the metrics and runtime characteristics of an application server is essential to ensure the adequate functioning of the applications running on that server, as well as to prevent or resolve potential issues in a timely manner.Īs far as Java applications go, one of the most commonly used servers is Apache Tomcat, which will be the focus of this article. ![]()
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