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A travel organization in North America encountered unresponsive microservices because of too many threads. The Site Reliability Engineering (SRE) team analyzed thread dumps and found that 2,319 threads were stuck waiting for network responses due to an issue with a Cassandra database. Fixing a disk space shortage restored normal performance and helped prevent future problems. This approach was essential for quick and effective problem-solving.
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.
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.
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Every April, W-JAX serves Java and Software Architecture enthusiasts, showcasing vital topics for software engineers. In 2024, architect Ram Lakshmanan discussed "KNOWN JAVA APIS, UNKNOWN PERFORMANCE IMPACT," revealing hidden performance effects of familiar Java APIs and strategies to optimize applications. Attendees rated the talk positively, reflecting its value.
The 'hs_err_pid' file is created by the Java Virtual Machine (JVM) when a crash occurs, serving as a detailed report on the JVM's state at that moment. It contains technical data invaluable for diagnosing issues, including JVM version, crash reasons, memory allocation, executed code, and environment variables. Specialized tools like fastThread help analyze this complex data efficiently.