The webinar by Payara and YCrash addresses troubleshooting production problems in Payara Server environments. It emphasizes the importance of capturing 16 essential artifacts and discusses tools and techniques for analyzing these artifacts to enhance performance and reliability in deployments. Participants gain insights to ensure optimal server operation.
Java EE architecture is known for its scalability and powerful features, but it can be difficult to solve performance issues in production. Analyzing thread dumps is crucial for identifying problems like high CPU usage or deadlocks. This process helps find the root causes faster, as shown in a case study where a financial company solved similar issues.
Microservices architecture improves scalability and flexibility but can also make troubleshooting more complicated, especially when it comes to performance. Analyzing thread dumps is essential for finding problems like deadlocks and CPU overload. A real-life example shows how analyzing thread dumps helped fix a major travel company’s application that became unresponsive due to limited resources.
Capturing and analyzing thread dumps is important for identifying Java performance issues like high CPU usage and deadlocks. It's best to capture multiple dumps at regular intervals when performance problems occur, and to also collect related information like CPU usage and garbage collection logs. Safely storing these dumps is essential to protect any sensitive data they might contain.
Thread dumps are important for finding performance issues in Java applications. They give a snapshot of what each thread is doing, including details like the thread's state and its actions. By studying these dumps, you can quickly identify performance problems and find the root cause to fix them efficiently.
Java's Garbage Collection manages memory by clearing unused space. If the number of GC threads isn't set correctly, it can slow down your application. Balancing the thread count is key to preventing delays and memory issues, ensuring smooth performance.
Payara hosted a virtual conference focusing on securing the Java Ecosystem, featuring a talk on "MAJOR OUTAGES IN MAJOR ENTERPRISES." The session analyzed thread dumps, heap dumps, GC logs, and other artifacts related to significant outages. Attendees gained insights into troubleshooting various critical issues affecting enterprise applications.
jPrime is a conference focused on Java and related technologies, organized by the Bulgarian Java User Group. Architect Ram Lakshmanan conducted a workshop on analyzing Java thread dumps, highlighting troubleshooting patterns and best practices through real case studies. Attendees participated in hands-on exercises to resolve thread dump issues and enhance performance.
Deadlock is a common problem in applications where multiple threads block each other while waiting for a resource. This can cause the application to stall or slow down. To fix deadlocks, you can define a specific order for locks using hash codes, use timed lock attempts, or analyze thread dumps to detect and prevent deadlocks.