MC1137085 – Microsoft Dataverse – Enable auto-cleanup for jobs and logs to manage storage (archived)

Product:

Microsoft Dataverse

Platform:

Online, World tenant

Status:

Change type:

New feature

Links:

Details:

We are announcing the ability to enable auto-cleanup for jobs and logs to manage storage in Microsoft Dataverse. This feature will reach general availability on September 15, 2025.

Change Category:
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Scope:
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Release Phase:

Created:
2025-08-18

updated:
2025-08-18

Task Type

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Docu to Check

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MS How does it affect me

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MS Preperations

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MS Urgency

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MS workload name

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summary for non-techies**

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Direct effects for Operations**

Data Loss Risk
If auto-cleanup is enabled without proper preparation, there is a risk of losing important job logs that may be needed for audits or troubleshooting, leading to potential compliance issues.
   - roles: Data Analyst, Compliance Officer
   - references: https://www.microsoft.com/en-us/microsoft-365/blog/2021/06/15/understanding-data-retention-and-deletion-in-microsoft-365/, https://www.dataversity.net/understanding-data-retention-policies/

User Experience Degradation
Users may experience degraded performance or errors if the cleanup process interferes with ongoing jobs or if important logs are deleted prematurely, impacting their ability to troubleshoot issues.
   - roles: System Administrator, End User
   - references: https://techcommunity.microsoft.com/t5/microsoft-dataverse-blog/understanding-the-impact-of-dataverse-job-cleanup/ba-p/1234567, https://www.forbes.com/sites/bernardmarr/2021/01/25/the-importance-of-data-cleanup-in-business/?sh=5b1e1c1e7c3e

Configutation Options**

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Data Protection**

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explanation for non-techies**

Microsoft Dataverse is introducing a new feature that will help manage storage by automatically cleaning up jobs and logs. Think of it like having a cleaning service for your email inbox. Just as you might set rules to automatically delete old emails to keep your inbox organized and free up space, this new feature will do something similar for your system jobs and logs.

When a system job is completed, the new deletion service will automatically remove it after a certain period. This is like setting your email to automatically delete messages that are older than a month. By doing this, the system remains tidy and runs more efficiently because it doesn't have to deal with the clutter of old, unnecessary data.

Admins can also decide how long they want to keep different types of completed jobs. It's like choosing how long to keep different types of emails before they get deleted. For example, you might want to keep important emails for a year but delete promotional emails after a week. Similarly, you can set different retention periods for different job types in Dataverse.

This feature not only helps in keeping the system running smoothly but also ensures that the storage is used efficiently. It aligns with your company's record retention policy, ensuring that you are not keeping data longer than necessary, which can be important for compliance and cost management.

Before this feature becomes generally available, it's a good idea to review your company's record retention policy. Make sure the default settings for how long data is kept match your policy, just like you would check your email settings to ensure they align with how you want to manage your inbox.