Serverless Web Apps with AWS and Kotlin

This post takes a look at Kotlin, a relatively new programming language that runs on the JVM, and explores how it can be used to build serverless web apps on AWS using Lambda and API Gateway. In programming language terms Kotlin is a relative newcomer. It was first announced in 2011 by JetBrains, the makers of IntelliJ IDEA, and was designed as a modern successor to Java.

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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.

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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.


Introducing Java SpecialAgent: Start Tracing without Writing Any Code

We’re excited to announce Java SpecialAgent! It’s an extensible OSS Java agent for OpenTracing that enables end-to-end tracing without having to write any code. With only a single command-line entry for installation, SpecialAgent seamlessly connects to OpenTracing-compliant tracers  —  such as the Jaeger and LightStep tracers  —  allowing you to immediately start observing and propagating distributed traces.


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.

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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.