ErrorHandling

Introduction

Error handling deals with handling errors with respect to various activities in a workflow. If the workflow throws exceptions or any errors, you can handle them through these activities.

Benefits

1. Improved Reliability: Error handling ensures that bots can detect and address exceptions or unexpected situations during process execution. This leads to more reliable automation as bots can handle errors gracefully without causing disruptions to the entire process.
2. Enhanced Data Accuracy: By implementing error handling mechanisms, systems can verify and validate data inputs and outputs. This helps in maintaining data accuracy by identifying and rectifying errors or inconsistencies in real-time.
3. Efficient Troubleshooting: Error handling provides detailed logs and error messages that assist in identifying the root cause of failures or issues. This facilitates efficient troubleshooting and enables developers to make necessary adjustments to prevent similar errors in the future.

Use Case

1. Application Errors: Implement error handling routines to capture and handle application errors gracefully. This includes logging error details, displaying user-friendly error messages, retrying failed actions, and escalating critical errors for manual intervention.

2. Data Validation Errors: Use error handling to validate input data against predefined rules and criteria. Identify and flag data validation errors, log error details, and trigger corrective actions such as notifying users, retrying data validation, or marking records for manual review.

3. Timeouts and Delays: Implement timeout handling mechanisms to handle delays and timeouts gracefully. Set appropriate timeout thresholds, implement retry strategies, log timeout occurrences, and escalate long-running processes for investigation or manual intervention.

4. Resource Unavailability: Implement resource availability checks and error handling routines to handle resource unavailability scenarios. Retry failed resource accesses, implement fallback mechanisms, log resource availability status, and notify administrators for resolution.

5. Integration Errors: Implement integration error handling to manage integration failures effectively. Handle communication errors, parse and validate API responses, retry failed integrations with backoff strategies, log integration errors, and alert support teams for resolution.

6. Business Rule Violations: Define and enforce business rule validations within workflows. Implement error handling for business rule violations, log rule violation details, trigger corrective actions, and notify stakeholders or administrators for remediation.