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Status Under review
Created by Guest
Created on Jul 21, 2025

MQ appliance: Implement separate storage allocation for MQ configuration/metadata versus message data

Currently on MQ appliances, queue manager configuration, metadata, and message data share the same storage allocation, creating a critical operational failure mode. When disk space becomes depleted due to message accumulation, the entire queue manager becomes administratively inaccessible:

  • WebUI becomes unresponsive: Cannot access administrative interface to clear queues or manage the queue manager

  • API calls time out: REST calls to the Queue Manager become unusable, preventing automated recovery procedures

  • Configuration corruption: Critical files like mq.ini can become corrupted during disk full conditions

  • Recovery paradox: The very tools needed to resolve the disk space issue (queue clearing, message purging) become unavailable when they're most needed

This creates a cascading failure scenario where administrators cannot use normal operational procedures to resolve the root cause.

Implement storage domain separation on MQ appliances with distinct allocations for:

  1. Configuration domain: Reserved storage for queue manager metadata, configuration files, logs, and administrative operations

    • Always maintain sufficient space for WebUI operations

    • Ensure API responsiveness even during data storage exhaustion

    • Protect critical configuration files from corruption during disk full events

  2. Data domain: Dedicated storage for message data, queue contents, and transaction logs

    • Can reach full capacity without impacting administrative functions

Key benefits:

  • Guaranteed administrative access: WebUI and APIs remain functional during message storage depletion

  • Self-healing capability: Administrators can clear queues and resolve storage issues using standard tools

  • Reduced recovery complexity: Eliminates need for complex recovery procedures

  • Improved reliability: Prevents configuration corruption during storage exhaustion events

Idea priority Medium