Building orchestrations in JD Edwards Orchestrator is often straightforward, but keeping them running smoothly over time requires visibility into their performance and behavior. When something goes wrong—whether it’s a failed connection, data mismatch, or unexpected behavior—Orchestrator provides several tools to help you diagnose and resolve the issue.

This blog walks through the basics of troubleshooting orchestrations and ensuring long-term reliability.

Monitor Execution with the Orchestrator Monitor

The Orchestrator Monitor (accessible through Orchestrator Studio) is your first stop when diagnosing issues. It displays:

• A log of recent orchestration executions
• Status indicators (success, warning, failure)
• Start and end times
• Error messages or system responses

You can filter by orchestration name, user, or timeframe to isolate patterns or recurring problems.

Use Logs to Investigate Failures

For failed orchestrations, the monitor provides access to detailed logs. These logs include:

• Input and output data
• Service request status
• API call responses (for integrations)
• Error stack traces

By reviewing the logs, you can identify which step failed, what data was passed, and what message (if any) came back from JD Edwards or the external system.

Some common error types include:

• Authentication failures (e.g., expired OAuth token)
• Invalid input formats
• Missing data cross-references
• Time-out or connectivity issues

Leverage Retry Logic and Error Handling

Orchestrator allows you to define retry policies for steps that are prone to occasional failure—like API calls to external systems. You can set:

• Number of retry attempts
• Delay between retries
• Alternate actions if a step fails

This helps prevent one-off issues from disrupting business processes unnecessarily.

Performance Considerations

Slow orchestration execution can result from:

• Excessive or inefficient service requests
• Large payload sizes
• External system latency
• Network issues

To improve performance:

• Use modular orchestration design to isolate and test problem areas
• Avoid unnecessary data lookups or transformations
• Ensure that external endpoints (APIs) are stable and performant
• Monitor for orchestrations that run more slowly over time

Best Practices for Ongoing Reliability

• Regularly review the Orchestrator Monitor for failures or delays
• Document known issues and their resolutions
• Test orchestrations with varied input scenarios
• Establish alerting for critical orchestration failures
• Use versioning to ensure that changes don’t disrupt working logic

Final Thoughts

Troubleshooting orchestrations is part of maintaining a reliable, scalable automation strategy in JD Edwards. With the right tools and proactive monitoring, you can minimize downtime, resolve issues quickly, and ensure orchestrations continue to deliver value.

Learn More

To further your knowledge and networking, view the resources available on the JD Edwards Orchestrator Strategic Content Center, join a JD Edwards Community Group, and register for an upcoming JD Edwards in-person or online event.