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Activate, Monitor, and Troubleshoot a Flow

Learning Objectives

After completing this unit, you’ll be able to:

  • Activate your flow to automatically sync data in the production environment.
  • Monitor and troubleshoot your flow while it’s running.

Activate a Flow

After you’ve tested the flow to your satisfaction, you’re ready to activate it using your production data. First, swap out each of your existing test connections with a newly created production connection, and then activate the flow. Activating the flow enables it to run and perform the expected integration tasks between two Salesforce orgs and Slack.

Remember to use a dedicated Composer user for the GD production org in your flow. While the flow is running, use a regular user to manipulate data in the GD production org. 

Follow these steps to activate a flow.

  1. Click Edit in the Sync Accounts - GD Org to NTO Org to Slack flow.
  2. In step 1 of the flow, click the ellipsis icon, and then click Change Connection.
  3. Click the Connection picklist and select Add New Salesforce Connection.
  4. Name the connection GD production org, leave the checkbox This is a sandbox organization deselected, and click Create.
  5. Enter your GD production org’s username and password and click Log In.
  6. Click Allow to grant MuleSoft Composer the permissions. MuleSoft Composer automatically tests the connection. If no error message appears, you have a successful connection.
  7. In step 2 of the flow, repeat steps 2 through 6 of this procedure to create an NTO production org connection.
  8. In step 3 of the flow, click the ellipsis icon, and then select Change Connection.
  9. Click the Connection picklist, select NTO production org, click Change, and then click Confirm.
  10. In step 4 of the flow, repeat steps 8 and 9 of this procedure but this time select the GD production org connection.
  11. In step 5 of the flow, click the ellipsis icon, and then click Change Connection.
  12. Click the Connection picklist and select Add New Slack Connection.
  13. Name the connection NTO Slack production and click Create.
  14. Select your NTO production workspace from the Slack workspace picklist.
  15. Click Allow to grant MuleSoft Composer the permissions. MuleSoft Composer automatically tests the connection. If no error message appears, you have a successful connection.
  16. In step 6 of the flow, repeat steps 8 and 9 of this procedure to switch to the NTO production org connection.
  17. In step 7 of the flow, repeat steps 8 and 9 of this procedure to switch to the GD production org connection.
  18. In step 8 of the flow, repeat steps 8 and 9 of this procedure to switch to the NTO Slack production connection.
  19. Save the flow.
  20. Click Activate. The flow is now running and automatically syncing new or updated accounts between two Salesforce orgs and Slack.

Now that your flow is active, you learn how to monitor the flow and troubleshoot any problems that arise.

Monitor and Troubleshoot a Flow

After your flow is active, it continues to run in the background. MuleSoft Composer automatically handles where to deploy the flow, how to manage it, and when to scale it for optimal performance. 

If there’s an error with any of the runtime instances of the flow—and assuming MuleSoft Composer is configured for email notifications in your Salesforce org—MuleSoft Composer sends you an email notification. You should monitor your emails for any notifications from MuleSoft Composer. For more information on configuring email notifications, see MuleSoft Composer Installation and Configuration.

Typically, an email notification shows which flow has an error, the number of failed runs out of the total runs, and the start and end time of the report. You should then take steps to troubleshoot the error.

Assume you’ve received an email from MuleSoft Composer notifying you one of your flows called Sync Service Cases with Slack Notifications has an error. 

Follow these steps to troubleshoot a flow.

  1. Open your email notification. It looks something like this.
    Email notification about a failed flow.
  2. Click the flow name link. MuleSoft Composer is launched, and the flow details page of the flow appears, showing its run history.
    Run history of a flow showing Id, Start Date, End Date, and Status of six instances.
  3. If you see one or more failed instances, narrow down the run history to failed instances by selecting Status Failed from the Any Status picklist. Here’s an example of some failed instances of the Sync Service Cases with Slack Notifications flow.
    Run history of a flow showing Id, Start Date, End Date, Status, and error information of three failed instances.
  4. Click CLIENT_ERROR on a failed instance. Its detailed runtime error message appears. In this example, the instance failed because an invalid value was passed to a Slack channel. To resolve the problem, enter a valid value for the Slack channel.
    Error information of a failed instance showing an invalid value was passed to a Slack channel.

Keep in mind that you lose access to MuleSoft Composer when your license expires. So make sure to renew your MuleSoft Composer license before it expires.

Congratulations, you’ve done it! You’ve successfully used MuleSoft Composer to build and run an integration flow that automatically syncs new or updated accounts between two Salesforce orgs and Slack, thus eliminating the manual tasks and achieving near real-time integration.

Wrap It Up

In this module, you first learned about the challenge of keeping new or updated accounts in sync between two Salesforce orgs and Slack. Then, you learned about a MuleSoft Composer solution to sync new or updated accounts between two Salesforce orgs and Slack. Finally, you learned how to use MuleSoft Composer to perform flow creation tasks such as preparing to create a flow, designing and testing a flow, activating a flow, and monitoring and troubleshooting a flow.

Note

The examples and data presented in this module are purely for training purposes. If you’re able to implement the flow by following the steps in this module in your own environment, consider deleting any training examples and data you’ve created.

To get step-by-step instructions to solve other common integration problems using MuleSoft Composer, take the other modules in the MuleSoft Composer Trailmix.

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