The different types of log files in Tomcat often confuse users. Difference Between Log Files Used in Monitoring If your server takes too long to respond to requests, this will negatively affect UX.ĭatabase connection pool: This measure is important to monitor as it can help find the best number of connections in a pool your application requires.Įrror rates: This refers to issues in your code. Response time: This measure is crucial to your users’ experience. Number of sessions: Just as the request throughput measures the number of requests at a given time, the number of sessions metric refers to the number of sessions the server can handle at a given moment. This is a critical measure of success for the application itself-how much work the system is accomplishing. Request throughput: This measure demonstrates the number of requests the server can process at a given time. Running too many threads at the same time can also affect performance and ultimately slow down your app. Thread usage: Ensure you monitor the amount of active threads running. Again, a balance between freeing up un-used memory, and the cost of doing so needs to be struck. It’s a resource-intensive process, so it’s imperative to run the garbage collection at the right frequency. Garbage collection: This involves managing memory by removing objects no longer being used by the application. However, inefficiently using available memory can also negatively affect performance elsewhere, so balance is crucial. Memory usage: If your application has low heap memory, it will affect performance. Performance quality can be quantified according to different metrics. Furthermore, monitoring Tomcat logs is used to manage the performance of a web app. The alternative is to manually parse logs, which is very inefficient and hinders your troubleshooting efforts. With an optimized log monitoring setup, you can efficiently extract insights from Tomcat logs to counter risks proactively. But it isn’t easy to find this information because it may be hidden among a high volume of log messages, leading to sub-optimal analysis task management. This can include risks and server configuration, for example. Tomcat logs provide insights into what’s happening inside a web application. ![]() Lastly, log monitoring concerns how to display logs to the user. Log management refers to data retention, access control, and things concerning the performance of logs. Log collection involves filtering through the logs provided by Tomcat. For this reason, we should break up the term into three parts-namely log collection, log management, and log monitoring itself. When we speak of log monitoring, we often mean different things. Tomcat servers are based on Java virtual machine (JVM) as it’s used for threading, memory management, garbage collection, etc. Each Tomcat server may consist of multiple web applications, resulting in various contexts. ContextĬontext acts as a web application. This component reduces the load on the server database and improves application response time by not opening the connections separately for each request. Connection PoolingĬonnection pooling allows applications to interact with the back-end database to deal with queries in the Tomcat server. However, static pages directly involve processing from the server’s cache, and JSPs and servlets serve dynamic pages by the Tomcat engine. Otherwise known as a request processing pipeline in the Tomcat server, the engine controls data received by the connectors. Thereafter, links are transferred to a relevant web application and return a response via connectors, providing consistent content. ConnectorsĬonnectors are links used to establish a connection with the outside world, which allows the Catalina engine to receive requests. The main purpose of Tomcat is to send HTTP requests and return the dynamically generated response to the correct place. The server is built up by Catalina (servlet), Jasper (JSP), Cluster, and Coyote (connector). Tomcat is a web server provided by the Apache Software Foundation. Then we’ll briefly cover a tool designed to make monitoring and troubleshooting Tomcat logs easy. This post will first help you learn about Tomcat and its logs, including different types of log files and performance metrics used in log monitoring. For example, monitoring and troubleshooting can be an issue if you try to find a solution by looking through hundreds of lines of code, so a log management strategy is vital. ![]() However, it has some log management challenges. Tomcat is the most common web server in use, with most of its users being Java developers. Additionally, these measures provide support to resolve or prevent potential issues in a timely fashion. Monitoring and analyzing an application server’s logs is essential to ensure the efficiency of applications functioning on a server. Monitoring Cloud-Based Applications-Best Practices
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