Java Springboot2 is an open source Java-based framework used to create web applications. It is based on the Spring framework and provides a range of features such as enhanced dependency injection, abstract data access layers, and a powerful configuration system. Springboot2 also enables developers to quickly create and deploy applications and services. It can be used to rapidly develop applications and services that are cloud-native and highly secure.
The prerequisites for monitoring Java Springboot Applications with Netdata are to have Java Springboot Applications and Netdata installed on your system.
Netdata auto discovers hundreds of services, and for those it doesn’t turning on manual discovery is a one line configuration. For more information on configuring Netdata for Java Springboot Applications monitoring please read the collector documentation.
You should now see the Java Springboot Applications section on the Overview tab in Netdata Cloud already populated with charts about all the metrics you care about.
Netdata has a public demo space (no login required) where you can explore different monitoring use-cases and get a feel for Netdata.
Response Codes are important metrics to monitor for any Java Springboot2 application. They indicate the number of requests that have been made to the application and the response from the application. These codes allow you to identify whether your application is performing as expected and if there are any errors. By monitoring response codes, you can identify and fix issues early, prevent downtime, and improve user experience.
Threads are also important metrics that need to be monitored. Threads are the individual processes that are executing code within the application. It is important to monitor the number of threads running, as too many can cause performance issues, while too few can lead to slow response times. By monitoring threads, you can ensure that your application is running optimally and efficiently.
The Heap is a set of memory that is used by the JVM to store and manage objects. It is important to monitor the Heap size to ensure that the application has enough memory to run efficiently. If the Heap size is too small, it will cause performance issues, while if it is too large, it can lead to reduced performance. By monitoring the Heap size, you can identify and optimize memory usage.
The Heap Eden, Survivor and Old are sections of the Heap that are used to manage objects. It is important to monitor the Heap size of each section in order to ensure that objects are being managed in an optimal manner. By monitoring these metrics, you can identify and optimize memory usage, identify memory leaks, and prevent performance issues.
Uptime is a metric that measures the amount of time that the application has been running without any issues. It is important to monitor uptime as it can help you identify when an issue has occurred and when maintenance needs to be performed. By monitoring uptime, you can ensure that your application is running smoothly and efficiently.
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