Java applications can have performance problems due to sudden CPU spikes. Standard monitoring tools often have trouble finding the exact code paths causing these spikes. Instead, non-intrusive methods, like analyzing threads and capturing thread dumps, give clearer insights. Looking closely at threads in the RUNNABLE state is one way to diagnose these issues without changing the live production environment.
SpringBoot is a popular framework for Java web applications, facing performance challenges like memory, thread, CPU, and system issues. Effective tuning and monitoring with tools like yCrash can identify and resolve these bottlenecks, enhancing service availability and efficiency, thereby improving response times and reducing operational costs in enterprise environments.
This post outlines a non-intrusive method for diagnosing CPU spikes in production environments using the yCrash data script. It captures 360° data from JVM applications with minimal overhead and allows for analysis of CPU consumption by threads. The process includes data capturing, uploading, and generating a unified root cause analysis report.
This article discusses simulating and troubleshooting CPU spikes in Scala programs, particularly through infinite loops in threads. A sample program demonstrates this, launching six threads that run indefinitely. Troubleshooting methods include manual processes and automated tools like yCrash, which help identify and analyze the root causes of CPU consumption issues effectively.
The article explains how to simulate and troubleshoot CPU spikes in Kotlin by creating a program with six threads in an infinite loop. It discusses manual and automated approaches to diagnose CPU spikes, detailing how to capture and analyze thread dumps using the yCrash tool for effective root cause analysis of performance issues.
we troubleshooted a CPU spike problem that surfaced in a major trading application in North America. All of a sudden, this application’s CPU started to spike up to 100%
Architect Ram Lakshmanan delivered a popular presentation on "TROUBLESHOOTING REAL PRODUCTION PROBLEMS" at the JAX London 2019 conference. Attendee ratings averaged 4.5 for presentation quality and 4.8 for speaker knowledge. Feedback highlighted practical insights and audience interaction but noted issues with presentation pacing and slide readability.