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Java

AppDynamics Provides Comprehensive Observability through Serverless APM for AWS Lambda

We're delighted to announce that AppDynamics Serverless APM, which supports instrumenting AWS Lambda applications and microservices in Java, is now available to our SaaS customers through the AWS Marketplace.

Most Popular Java Web Frameworks in 2019

As Java has evolved over the years, multiple attempts have been made to simplify development for various use cases. From official standards like Java Enterprise Edition, to community-driven frameworks, Java is continuing to prove itself to be adaptable and viable. Our top list is based on usage from Hotframework.com's Java ranking and several other sources including blog posts and GitHub download numbers.

How to Troubleshoot Java CPU Usage Issues

If you have deployed a Java application in production, you’ve probably encountered a situation where the application suddenly starts to take up a large amount of CPU. When this happens, application response becomes sluggish and users begin to complain about slow response. Often the solution to this problem is to restart the application and, lo and behold, the problem goes away – only to reappear a few days later.

Java runtime monitoring with JVM metrics in Datadog APM

Whether you’re investigating memory leaks or debugging errors, Java Virtual Machine (JVM) runtime metrics provide detailed context for troubleshooting application performance issues. For example, if you see a spike in application latency, correlating request traces with Java runtime metrics can help you determine if the bottleneck is the JVM (e.g., inefficient garbage collection) or a code-level issue.

Monitoring and Troubleshooting Synchronization Issues in Java Applications

Java applications deployed in production must be multi-threaded for scalability. Threads can be used for performing different tasks or they could be executing the same task to service different user requests. Often, it is necessary to synchronize between different threads.

JMX monitoring + Java custom metrics.

In this tutorial we are going to learn how to instrument Java code to expose application metrics using JMX monitoring. Following the code examples, you can monitor the availability, health and performance of your Java application. Java 1.5 introduced JMX – Java Management eXtensions – which is a standard way to instrument code in the JRE world.

JBoss Performance Monitoring: The Complete Guide

Ensuring your apps work as designed and deliver a productive user experience starts with monitoring applications metrics. This helps you understand whether your software is performing at optimal levels. Many developers use JBoss (now called WildFly and maintained by Red Hat) to build, deploy, and host transactional applications written in Java.

How to Troubleshoot Java Application Slowness Using Java Transaction Tracing

The performance of any application is measured by its availability and responsiveness. When an application is slow, IT operations staff must troubleshoot the cause of slowness, identify it and resolve it. While application performance problems may be caused by issues in the supporting infrastructure, often the issues are related to the application components themselves.

Java Garbage Collection Logging with the ELK Stack and Logz.io

Java programs running on JVM create objects on the heap. At some stage, these objects are no longer used and can pile up as “garbage” needlessly taking up memory. Replacing the manual process of explicitly allocating and freeing memory, the Java Garbage Collection process was designed to take care of this problem automatically.