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MLflow: API Error (500 / 502 / 503)
Current Status: Operational
Last checked: 8m ago
What We're Seeing Right Now
No recent issues reported. If you're experiencing problems with MLflow, report below to help the community.
What is this error?
MLflow is returning API errors (HTTP 500, 502, or 503), indicating the platform's backend is experiencing issues. MLOps platforms handle complex workloads — model training, experiment tracking, pipeline orchestration — making server errors particularly disruptive to active workflows.
Error Signatures
500 Internal Server Error502 Bad Gateway503 Service UnavailableRequest failed with status code 500Internal server errorService temporarily unavailableupstream connect errorgateway timeoutCommon Causes
- Backend infrastructure overload during peak usage
- Scheduled maintenance or unplanned downtime
- Database or storage layer failures affecting experiment tracking
- Orchestration service failures impacting pipeline runs
- Cloud provider incidents affecting the underlying infrastructure
✓ How to Fix It
- Check MLflow's status page for active incidents
- Verify your API key and authentication credentials are still valid
- Retry with exponential backoff (1s, 2s, 4s, 8s between attempts)
- Check if the issue affects all endpoints or just specific ones
- Review recent platform changelogs for breaking changes
- Contact MLflow support with your request ID if the issue persists
Live Signals
Service Components
MLflow
OperationalRecent Incidents
No incidents in the past 30 days
Frequently Asked Questions
Will an API error affect my running experiments or pipelines?
It depends on the platform. Most MLOps tools checkpoint runs periodically. Check your experiment state after the outage resolves — many platforms auto-resume interrupted runs.
How do I protect my ML pipelines from MLflow outages?
Implement retry logic with exponential backoff, design pipelines to be idempotent (safe to re-run), and use checkpointing for long-running training jobs. Consider multi-cloud redundancy for critical production models.
Is MLflow down right now?
Check the live status indicator at the top of this page. Community reports and our monitoring will show the current state of MLflow's API and services.