The post discusses the consequences of under-allocating memory in applications, such as degraded response times and OutOfMemoryError occurrences. It emphasizes proactively monitoring Garbage Collection behavior through logs to identify memory allocation issues. Analyzing patterns in GC logs can help distinguish between high object creation due to traffic spikes and potential memory leaks.
An Allocation Stall in concurrent Garbage Collection happens when an application creates objects faster than the system can free up memory, causing a brief pause in object creation. This can be caused by slow memory cleanup, high object creation rates, or fragmented memory. Solutions include adjusting heap size, increasing the number of cleanup threads, and improving memory use.