Stop Guessing Why Your Pods Are Crashing

Traditional Kubernetes metrics and heap dumps fail to identify the root cause of OOMKilled pod crashes. Continuous allocation profiling for Java/JVM applications fills this gap by surfacing code-level memory allocation rates and object churn without stop-the-world overhead. Two case studies illustrate the approach: a content delivery platform with a 48-hour OOM crash cycle traced to a legacy logging utility generating excessive objects, and a logistics provider with 2-second latency spikes caused by millions of temporary objects flooding the heap during GC cycles. Coralogix has added Java Allocation Profiling to its Continuous Profiling suite, using Async Profiler to pinpoint specific methods driving allocation pressure in production.