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feat: add Log Analytics workspace and diagnostics for deployment container
- Added a Log Analytics workspace resource to monitor deployment activities.
- Implemented diagnostic settings for the deployment container and blob service.
- Updated variables for log analytics retention and included options for enabling/disabling log analytics.
- Adjusted scale capacity for cognitive deployments to avoid exceeding quotas.
- Enhanced troubleshooting documentation for deployment errors and quota issues.
Copy file name to clipboardExpand all lines: docs/cicd.md
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@@ -13,7 +13,7 @@ All infrastructure for CI/CD lives under `cicd/` and can be customized to meet y
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## Prerequisites
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- Working local environment of this template. If you do not have one, Follow the step by step instructions for setting up your [**Local Environment**](../README.md#local-environment)
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- Working local environment of this template. If you do not have one, Follow the step by step instructions for setting up your [**Local Environment**](../README.md#local-environment).
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- An Azure subscription with either User Access Administrator or Owner permissions to create workload identity resources like service principal, and OIDC to be used by the GitHub Actions.
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- GitHub CLI (`gh`) installed and authenticated to trigger the bootstrap workflow from your terminal.
If you see an InsufficientQuota error mentioning "Tokens Per Minute", the requested `scale.capacity` (thousands of TPM) exceeds your subscription's available quota — lower `scale.capacity` in TFVARS or request a quota increase in the Azure portal.
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## Private endpoint fails with AccountProvisioningStateInvalid
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This occurs when Terraform tries to create the private endpoint before the Azure OpenAI (Cognitive Services) account leaves the `Accepted` state; wait until the resource shows `Succeeded` (portal or `az resource show`) and re-run the provisioning (`azd provision`).
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## Use GitHub Copilot to help troubleshoot
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If you're unsure how to fix a deployment error, open the relevant files in VS Code and use GitHub Copilot for suggestions. Copilot can propose TFVARS overrides, sample values, terraform plan snippets, or concise support-request wording; always review and test generated suggestions before applying them.
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