To give you the most accurate and actionable troubleshooting steps for your production environment, we need to pinpoint exactly how Taurus and the Java Virtual Machine (JVM) are interacting. Because a production crash can stem from memory limits, thread exhaustion, or specific heavy-load configurations, tailoring the solution to your infrastructure is the safest approach.
Let’s work together to figure out the exact root cause. Could you share a few details about your current setup?
What specific error message or exit code do you see in your Taurus or JVM crash logs (e.g., OutOfMemoryError, SIGSEGV, or a specific exit code)?
What underlying executor is Taurus running (e.g., JMeter, Gatling) and how many concurrent users or threads are you trying to simulate?
What are the hardware constraints of your production test environment (CPU/Memory allocated), and what are your current JVM heap size (-Xmx) settings?
Once we have these details, we can map out a precise tuning and configuration plan.
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