Sup0108 A: Deployment Or Update Operation Is Already In Progress Best

Clear the temporary server cache directories (e.g., tmp or work folders). Restart the services and log back into the console. 4. Direct Database Intervention (Advanced)

Navigate to (or Local Update Sets ). Look for any update sets with identical names. If duplicates exist, rename one of them (e.g., append _v2 ) or delete the older duplicate. Then attempt the commit again.

(if you know the Job ID):

Successful execution clears all jobs and all pending attribute values. This method requires and Login privileges. Clear the temporary server cache directories (e

The following guide explains why this error occurs in both environments and provides step-by-step procedures to resolve it effectively.

Additionally, always clear the job queue with JID_CLEARALL_FORCE before starting a new update batch.

Once cleared, reload your update interface to confirm the status has returned to normal. 3. Execute a System Cold Boot (Drain Flea Power) Then attempt the commit again

def get_queue_length(): return redis_client.llen(QUEUE_KEY)

Prevention is always better than cure. By following these best practices, you can significantly reduce the chances of encountering this error.

This guide helps diagnose and resolve the SUP0108 error, which indicates a deployment/update is already running. It covers causes, safe checks, step-by-step resolution, prevention, and monitoring. Assume a typical enterprise deployment system (CI/CD, orchestration, or device management) — adapt commands to your platform. In the iDRAC web interface

In the iDRAC web interface, go to the and select Reset iDRAC .

def acquire_lock(ttl_seconds=3600): """Atomically acquire deployment lock.""" return redis_client.setnx(LOCK_KEY, "active") and redis_client.expire(LOCK_KEY, ttl_seconds)

Reattach the power cables and wait 2 minutes for iDRAC to initialize before hitting the power button to boot up the host system. Best Practices to Prevent SUP0108 During Upgrades