Failure states
Planning for when things go wrong
Every system fails eventually. Networks go down, APIs change, data gets corrupted, users make mistakes. The question is not whether failures happen but how the system responds when they do.
Types of failures
- External service unavailability
- Data validation failures
- Timeout and performance issues
- User errors and invalid inputs
- Integration disconnections
- Capacity limits exceeded
- Cascading failures from dependent systems
A common failure point in Toronto businesses is reliance on third-party APIs that change without notice. A CRM integration that worked yesterday suddenly stops, and nobody knows why for hours or days.
Designing for failure
Robust systems anticipate failures and handle them gracefully. The principles:
- Fail fast with clear error messages
- Never lose data due to failures
- Provide manual override paths when automation fails
- Alert appropriate people when intervention is needed
- Log enough information to diagnose problems
- Enable retry and recovery without manual intervention
Testing failure scenarios
Failure handling needs to be tested explicitly. What happens when the database is slow? When an API returns unexpected data? When a user submits invalid input? These scenarios need to be verified, not assumed.
Zyrma designs automation with comprehensive failure handling. Systems that degrade gracefully, alert appropriately, and recover without data loss.