Problem:

Three instances of the production Postgres Database cluster experienced crashes with “segmentation fault” errors within 30 days. Despite no recent changes in the system, the issue persisted, prompting the need for investigation to identify the root cause.

Process:

Upon receiving the initial report of the issue, the experts engaged with the client to gather essential information. The client provided logs indicating the occurrences of segmentation faults and confirmed no recent changes in the system. Following initial discussions, the client was asked about any recent updates or software installations and to review the OS logs for any notable events. Suggestions were made to enable core dump creation for better analysis of segmentation fault occurrences. Despite the absence of recent changes in the system, suspicion arose around potential hardware failures. The client was advised to inspect and test all hardware components or consider replacements for any suspicious parts. During the live session with the client, discussions revolved around the circumstances of segmentation fault occurrences, server information, and the need for additional data, including hardware details, installation methods, running services, and the presence of periodic updates. The client provided valuable insights, such as the use of VMWare, repository-based installation of Postgres, absence of other services running on the server, and no periodic software updates.

Solution:

The investigation process identified potential factors contributing to the segmentation fault issue, including insufficient memory and network limitations. Recommendations were made to analyze historical data for system growth and connection usage trends to determine the need for additional resources, such as memory or connections. To address the immediate concerns, reducing the number of connections was suggested as a temporary solution to mitigate the frequency of segmentation fault occurrences. Additionally, the client was advised to provide detailed information on hardware specifications and network configurations for further analysis.

Conclusion:

The investigation into the Postgres Database cluster crash highlighted the complexity of diagnosing segmentation fault errors. Hardware failures and memory constraints were identified as potential causes. For addressing database cluster crashes with segmentation fault errors, it is important to focus on analyzing core dumps, testing hardware, optimizing memory usage, updating software, monitoring performance, configuring error logging, reviewing database settings, and implementing backup and recovery procedures. These steps will enhance stability and mitigate segmentation fault risks.