Konrad Beiske's article discusses the importance of monitoring memory usage in Elasticsearch, particularly focusing on the memory pressure indicator within the Elastic Cloud (formerly Found) console. The indicator is based on the fill rate of the old generation pool in the Java Virtual Machine (JVM), as this provides a more stable measure compared to total memory usage, which fluctuates due to garbage collection processes. The article explains that memory usage below 75% is considered safe, while usage between 75% and 85% is acceptable if performance remains stable, but action should be taken to reduce memory consumption or add more memory if usage exceeds 85%. High memory pressure can lead to increased CPU usage due to more frequent garbage collections, and if memory approaches 100% without sufficient garbage collection, the system may experience allocation failures and switching to a stop-the-world garbage collector, which can temporarily halt Elasticsearch operations. Beiske emphasizes the importance of monitoring and maintaining memory usage to prevent performance degradation and potential system instability.