Disaster Recovery Missing

Missing disaster recovery planning means training progress can be lost due to hardware failure, corruption, or natural disaster.

Disaster Recovery Missing is a Reliability failure seen during ML training runs. Missing disaster recovery planning means training progress can be lost due to hardware failure, corruption, or natural disaster. Common tags: Disaster Recovery, Backup, Checkpoint, Reliability.

No backup of training data. No offsite backup of checkpoints. Single point of failure in storage. No runbook for hardware failure. Taken together, these mechanisms explain why the failure is reproducible, why it tends to surface on specific workloads or scales, and why generic mitigation attempts often fall short without addressing the underlying cause.

• Entire training run is lost
• Cannot recover from hardware failure
• No backup of training artifacts

• Long-running training jobs
• Production ML pipelines
• High-value model training runs

Use this checklist to test the hypothesis against a small reproduction. No single line proves the root cause, so preserve the preceding events and compare one variable at a time.

• ✓Reproduce the failure from a clean checkpoint/seed: the symptom must appear without warm-up state from a previous run.
• ✓Verified signal present: Storage corruption with no backup
• ✓Verified signal present: Data center outage with no failover
• ✓Verified signal present: Lost progress after multi-day training
• ✓A targeted fix from the "How to fix it" section eliminates or substantially reduces the symptom within one validation pass.

Select the traceback or open the failed terminal, then run Denpex locally to see the initiating rank, collateral failures, exact fix, and verification command without uploading the log.

• No backup of training data
• No offsite backup of checkpoints
• Single point of failure in storage
• No runbook for hardware failure