Failure Recovery
How Cascades helps teams recover from failed workflows using retries, alerts, recovery tools, and operational visibility.
Failures happen in real-world workflows.
External APIs go down, integrations time out, approvals stall, and third-party systems fail unexpectedly.
Cascades helps teams recover from failures without losing workflow visibility or restarting entire processes manually.
Automatic retries
Temporary failures can often recover automatically.
Examples include:
- API rate limits
- temporary network failures
- short-lived service outages
- webhook delivery issues
Cascades can automatically retry failed tasks using:
- retry limits
- backoff rules
- timeout controls
This helps teams recover from transient failures without manual intervention.
See Retries & Timeouts.
Task-level failure visibility
When a task fails, teams can quickly identify:
- what failed
- when it failed
- why it failed
- which downstream tasks were impacted
Operational dashboards surface:
- task logs
- retry attempts
- timestamps
- error details
This makes debugging significantly easier than troubleshooting hidden automation failures.
Dead-letter workflows
Some failures require human review.
Examples include:
- malformed payloads
- repeated API failures
- invalid workflow inputs
- failed external integrations
These failures can be routed into recovery workflows for investigation and remediation.
Teams can review failed jobs, correct issues, and safely retry workflows.
Long-running workflows
Some workflows may pause because:
- approvals are waiting
- external systems are delayed
- integrations are unavailable
Cascades helps teams identify stalled workflows and safely resume operations when dependencies recover.
Recovering critical workflows
For higher-risk workflows involving:
- financial operations
- customer provisioning
- compliance workflows
- infrastructure automation
teams can use proof records and execution logs to understand exactly where workflows failed before restarting execution.
This helps reduce operational risk.
See Execution Proofs.
Operational reliability
Failure recovery works best when paired with:
- retries
- queue workers
- monitoring
- alerting
- operational dashboards
Together, these systems help teams recover from failures without losing operational control.