Detecting thread leakage is crucial for system performance as it can lead to resource exhaustion, impacting scalability and throughput. Proper management of threads enhances resource utilization and ensures efficient task handling. In Boomi, a performance test simulates thread leakage using BuggyApp, demonstrating the importance of monitoring thread behavior for optimized system performance.
The article discusses performance issues with the ServiceNow MID Server, particularly due to Java Security Manager overheads. It outlines the negative impact on speed, reliability, and resource consumption, while introducing a modern simulation approach for testing security checks. The yCrash tool is recommended to diagnose and optimize memory and performance effectively.
Recent updates to the yCrash performance optimization suite, including GCeasy, fastThread, and HeapHero, introduce enhanced capabilities for JVM analysis, data security, automation, and advanced visual insights. New features include machine learning for error detection, REST APIs for integration, and Native Memory Tracking support, ensuring efficient application performance and streamlined troubleshooting for teams.
Production environments frequently face space shortages due to growing disk usage by files like logs, databases, and output files. Failing to monitor and manage these files can lead to application crashes. The article explores simulating disk storage issues, offering a sample program, and strategies for diagnosing storage saturation, including manual and automated approaches using monitoring tools.
The article discusses the impact of network delays on application performance and presents a method to simulate network lag using BuggyApp as a proxy server. It provides a sample program to introduce delays in server responses and explains manual and automated approaches to diagnose network issues. The article highlights the importance of addressing network performance problems in chaos engineering.
This article talks about a common problem with Spring Boot applications: database connection leaks. These leaks happen when connections aren't closed properly, which can slow down the system or even cause it to crash. The article sheds some light on how one can find and fix these leaks by looking at errors and network metrics and also suggests solutions like try-with-resources and connection pools to stop leaks from happening in the first place.
This post explains how to diagnose CPU spike problems that surfaces in the Spring Boot applications.
This post discusses diagnosing and troubleshooting StackOverflowError in Spring Boot applications, which occurs when thread stack size exceeds memory limits due to infinite recursion or excessive stack calls. It demonstrates simulating this error using BuggyAPI and employs the yCrash tool for analysis, providing resolutions such as proper termination in recursive methods and increasing stack memory.
Spring Boot is a framework for creating Java web applications, but it can experience thread leaks, leading to performance issues. A thread leak occurs when threads retain references after execution, causing resource exhaustion. Proper thread management, including termination, use of thread pools, and handling exceptions, is crucial for preventing leaks and ensuring system stability.
Spring Boot is a popular framework for developing Java web applications that often encounter thread deadlocks, halting performance. This blog discusses deadlock causes, examples, and troubleshooting techniques using the yCrash tool. Solutions include timeout locks, utilizing concurrency utilities, and avoiding nested locks to mitigate deadlock issues effectively.
