Solving error handling in event-based workflows – need advice on proactive recovery

Last week our CRM update trigger failed silently, causing missed lead assignments. Current error handling just retries 3 times then emails me. I want to add fallback actions like switching APIs or alerting specific teams.

How are you implementing smart recovery logic without writing tons of custom code? Any examples of conditional error paths that adapt based on failure type?

Latenode’s error handling nodes let you build conditional recovery flows visually. Set up cascading fallbacks - retry primary API, then switch to backup provider, then create Jira ticket if all fail. Added this to our order processing system and reduced manual interventions by 90%.

We categorize errors by type and source. Network errors trigger immediate retries. API rate limits wait exactly 60s before retrying. Business logic errors route to human review. Built this using a mix of AWS Step Functions and Lambda, but maintenance is costly. Looking for more integrated solutions.

Implement circuit breakers. After X failures, divert workflow to alternate path. Monitor health before re-enabling.

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