fix: Fixed external broken links (#3703)
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@@ -209,7 +209,7 @@ Three sample pipelines are provided as examples:
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- `pr-pipeline.yaml`: a "PR pipeline" that runs Terraform init, validate, and plan on pull requests. It posts the plan output as a comment to the PR and updates the PR status.
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- `merge-pipeline.yaml`: a "merge pipeline" that runs Terraform init, validate, and apply on merges to the main branch.
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Each of the above pipelines needs to be edited to match your project id and resource names. Once that has been done, the code can be copy/pasted on a new pipeline in Azure Devops. On first run, you might be asked to grant permissions to the pipeline on the service connection. Refer to the Azure Devops [Pipelines Schema Reference](https://learn.microsoft.com/en-us/azure/devops/pipelines/yaml-schema/view=azure-pipelines) can be used for further customizations.
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Each of the above pipelines needs to be edited to match your project id and resource names. Once that has been done, the code can be copy/pasted on a new pipeline in Azure Devops. On first run, you might be asked to grant permissions to the pipeline on the service connection. Refer to the Azure Devops [Pipelines Schema Reference](https://learn.microsoft.com/en-us/azure/devops/pipelines/yaml-schema/?view=azure-pipelines) can be used for further customizations.
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### Branch Policies and Permissions
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@@ -1,6 +1,6 @@
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# Managed Kafka Cluster with Topics
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This setup allows creating and configuring a managed Kafka cluster using [Google Cloud Managed Service for Apache Kafka](https://cloud.google.com/managed-service-for-apache-kafka), with configurable topics, networking, and labels. It is designed to be FAST-compliant and integrates seamlessly with existing Google Cloud infrastructure.
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This setup allows creating and configuring a managed Kafka cluster using [Google Cloud Managed Service for Apache Kafka](https://cloud.google.com/products/managed-service-for-apache-kafka), with configurable topics, networking, and labels. It is designed to be FAST-compliant and integrates seamlessly with existing Google Cloud infrastructure.
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## Prerequisites
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