Purpose of Error Handling

An error pipeline is beneficial when a user seeks to standardize the error-handling behavior across a project or multiple projects. This method ensures a consistent approach to managing errors.

Benefits of using Error Pipeline

Here are some key benefits of using error handling:

1. Isolation of Errors: Errors are isolated from the main processing flow, preventing them from disrupting the entire pipeline. This ensures that your pipeline can continue working with valid data.

2. Custom Error Handling: You can design the error pipeline to handle errors in a way that makes sense for your specific use case. This may involve logging, data transformation, or even sending notifications.

3. Better Monitoring and Troubleshooting: By routing errors to a dedicated error pipeline, you can easily monitor and troubleshoot issues. You can log error details, capture relevant context, and take corrective actions.

The following infographic displays the step-by-step workflow of error handling in Snaps and how the status of the pipeline changes when errors are encountered.

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Best Practices when using an Error Pipeline

When developing an error-handling solution, it's crucial to consider various factors to ensure its effectiveness. Follow these steps to create a reusable error-handling pipeline that not only identifies errors promptly but also streamlines communication and minimizes effort across teams. Ensure that you follow these best practices while creating the error pipeline:

• Pipeline Reusability:

  • Ensure the error-handling pipeline is designed for maximum reusability.

  • Parameterize the pipeline to enable dynamic invocation across multiple projects.

• Structural Integrity:

  • Structurally organize the error handling pipeline to minimize the effort required for modifications.

  • Prioritize a well-structured design for ease of maintenance.

• Optimized Performance:

  • Strive for optimal performance in the error-handling process.

  • Enhance execution efficiency to minimize processing time.

• Effective process handling:

  • Implement best practices for storing error data to expedite error identification.

  • Create error files and store them in various locations such as SFTP/FTP, SMB, SLDB, local file system, Amazon S3, Azure Blob Storage, etc.

  • Send email notifications to relevant groups based on the type of error and team responsibilities for a specific issue.