When working with integrations, errors are inevitable — but how you handle them can make or break the stability of your system. In Boomi, proper error handling ensures your integrations are resilient, reliable, and recoverable. Whether it’s a connection timeout, data mismatch, or a failed API call, Boomi provides a robust set of tools to manage it all.
In this post, we’ll explore key error handling techniques in Boomi that every integration developer should know.
Why Error Handling Matters
Before diving into the how-to, let’s understand why error handling is critical:
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Prevents data loss and inconsistency
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Enhances system observability and monitoring
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Improves user experience by offering better transparency
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Enables faster recovery and troubleshooting
Boomi gives you several layers to capture, log, respond to, and rerun failed processes.
1. Try/Catch Shapes for Local Error Handling
The Try/Catch shape in Boomi lets you isolate and manage errors within a specific part of the process.
Use Cases:
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Wrapping external API calls that might fail
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Isolating data transformation steps that may break
Best Practice: Always log errors or route them to a notification system within the Catch path.
2. Exception Shapes for Controlled Failures
The Exception shape is used when you want to manually throw an error under specific conditions.
For example:
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When a required field is missing from an incoming document
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If data validation fails during a decision shape
This lets you proactively catch business rule violations and route the process accordingly.
3. Process Reporting and Logging
Boomi’s Process Reporting is the centralized place to monitor success and failure of executions.
Tips:
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Tag your processes meaningfully (e.g.,
Order_Sync_US
vsOrder_Sync_EU
) -
Use custom logging messages with key variable values
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Enable detailed logging only in dev/staging for better performance in prod
4. Using Document and Process Properties
Capture error context with dynamic document or process properties. This allows you to pass useful metadata like:
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Source system
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Timestamp
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Record ID
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Error type/message
These can be stored or sent to an external monitoring system for proactive alerts.
5. Email Notifications and Alerts
Set up Email connector within Catch blocks to alert your team when something fails.
Make your alerts informative:
This reduces time to detect and resolve issues in production.
6. Reprocessing and Retry Strategies
If a process fails for a temporary reason (e.g., API limit hit or network error), you may want to retry it automatically.
Methods:
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Use a Retry Process Call with delay logic
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Queue failed records into a Message Queue for retry
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Store failed data in a Data Store for manual reprocessing
7. Atom Queue and Process Route for Scalability
For complex architectures, Atom Queues can help route and retry documents across processes asynchronously. They decouple error-prone sections and improve throughput under load.
8. Integration with External Tools
For enterprise-grade observability, you can integrate Boomi with tools like:
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Splunk
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Datadog
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PagerDuty
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Slack / Teams notifications
Push custom metrics and alerts from Boomi to these platforms using Webhooks, APIs, or email triggers.
Final Thoughts
Error handling in Boomi isn’t just a technical necessity — it’s a key pillar of integration reliability and user trust. By mastering these techniques, you’ll ensure that your integration workflows are fault-tolerant and easy to maintain at scale.
Need help designing robust Boomi processes?
At Integratt, we specialize in Boomi integrations — from architecture to execution and everything in between. Reach out to us to optimize your workflows and error management strategy.