Memory issues we'll remember

In March 2017, Elastic Cloud faced a series of memory and connectivity issues affecting a small percentage of its Elasticsearch clusters, particularly those with low-memory nodes. These issues were due to a combination of small problems that collectively led to high memory pressure, increased garbage collection load, and frequent out-of-memory errors, particularly under certain conditions involving specific kernel and Docker version combinations. The problems were exacerbated by long-running containers and the interaction between the JVM and Linux memory management. Elastic Cloud identified and addressed these issues through various fixes, including upgrading kernel and Docker versions, adjusting JVM and Elasticsearch settings, and expanding their test suites to better simulate real-world conditions. These efforts were part of a broader strategy to enhance system reliability and support affected customers, especially those with smaller clusters and trial accounts.

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