Creating a reconciliation job
Best Practice
After you normalize the CIs in your data sets, a reconciliation job helps reconcile the duplicate CIs in the data sets and create the final production data set. A reconciliation job typically contains identify and merge activities that identify the duplicate CIs and merges them, based on the rules that you define. Optionally, you can add a purge activity to a reconciliation job to delete unwanted CIs in your environment, based on purge instances.
You can create a standard or a custom reconciliation job to reconcile the duplicate CIs. For a custom reconciliation job, you can define and use customized ID (identification) rules.
Note
Changes made to the new job definitions are delayed until the next scheduled Job Definition check interval parameter runs. To load the changes immediately, open and save the job from the UI.
The following topics explain how you can create these reconciliation jobs:
- Configuring reconciliation custom identification rules
- Standard reconciliation jobs
- Recommendations for customized reconciliation job
Note
Currently, a reconciliation job with multiple activities of the same type displays multiple job entries in the last-run job.
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