We experienced an outage for about 2 hours on all Azure AI Foundry projects in the subscription

Artem Slobolinskyi 0 Reputation points
2026-08-31T19:31:08.8533333+00:00

For about 2 hours, we experienced models outage in the subscription (all aif projects).

There was no notice or message from Azure about it.

They came back to life, and I see the available quota increased. So I assume it was an auto-tier upgrade.

How can I avoid it in the future?

Error example below

08/31/2026, 09:48:17
err: 'Pipeline run failed in session "40f5e6e3-83fa-43ae-98f9-3319eed1131e" at block "Language" (block-mrz04vpb-154): OpenAI route 500: {\n' +
08/31/2026, 09:48:17
' }\n' +
08/31/2026, 09:48:17
' "param": null,\n' +
08/31/2026, 09:48:17
' "type": "server_error",\n' +
Azure OpenAI in Foundry Models

1 answer

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  1. Thanmayi Godithi 11,825 Reputation points Microsoft External Staff Moderator
    2026-09-01T11:31:40.3666667+00:00

    Hi Artem Slobolinskyi

    Thank you for reporting this. Based on the information shared, the observed behaviour (HTTP 500 server errors and intermittent no_capacity responses that later resolved without any customer-side changes) is not sufficient to conclude that an automatic tier or quota upgrade caused the outage. The quota increase may have been coincidental, but it would not typically be expected to result in a temporary service interruption on its own.

    At this time, there is no customer-controlled setting that can guarantee avoidance of a temporary service-side incident affecting a specific model deployment. As a general resiliency practice, we recommend:

    • Monitoring Azure Service Health and Resource Health notifications.
    • Implementing retries with exponential backoff and jitter for transient HTTP 5xx and capacity-related errors (such as 429 responses) to help reduce retry storms during service degradation.
    • Where business requirements allow, maintaining fallback deployments (for example, an alternative model, deployment, or region) to minimise the impact of a model-specific or regional service event.
    • Capturing request IDs, timestamps (UTC), deployment names, and regions when incidents occur, as these are valuable for retrospective investigation.

    If you would like us to investigate further, please share the affected Azure region(s), deployment name(s), and a few representative request IDs/correlation IDs from the impacted timeframe. This will help determine whether a backend service event occurred during the reported period.

    Thank you for bringing this to our attention. We will be happy to review any additional details you can provide.

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