Identify out about issues with the background processing of the job queue and get notified – Business central D365

Introduction

Tasks, reports, and batch processes can occasionally take a very long time to finish. Businesses frequently make use of Business Central‘s background processing capabilities to keep employees working in the meantime. If something goes wrong and an important background process stops, or isn’t scheduled for some reason, being notified of the issue can help you react quickly to resolve it.

Pre-requisites

Business Central on Cloud

References

Get notified about issues with job queue background processing | Microsoft Learn

Configuration and Feature overview

To stay informed about issues with job queue processing, you can subscribe to external business events triggered under the following conditions:

– Job queue processing fails after multiple retries.

– Job queue processing fails to schedule.

These external business events can be captured using the “When a business event occurs” trigger in a Power Automate flow. For added flexibility, we’ve included a couple of pre-built Power Automate templates with this feature.

You also have the option to create a custom Power Automate flow to tailor a notification system that suits your business needs. For example, you can:

– Notify the user whose credentials are used by the job queue.

– Notify recipients specified in the Business Central admin center.

Additionally, new job queue APIs enable automation to address specific job queue issues by restarting or rescheduling the job queue.

Conclusion

In conclusion, this feature offers a robust solution for monitoring and managing job queue processing issues. By subscribing to external business events and utilizing Power Automate flows, you can ensure that critical notifications are promptly delivered to the right individuals, enhancing your business’s responsiveness. With the added flexibility of built-in templates and customizable flows, along with the new job queue APIs, you have the tools needed to efficiently address and mitigate job queue disruptions, ultimately improving operational reliability.