Gemini Code Assist

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• BigQuery works with Gemini Code Assist From the official documentation: “Gemini Code Assist fetches and uses relevant BigQuery and Dataproc Metastore tables and their schemas to generate a code response.”
• Cloud Logging works with Gemini Code Assist From the official documentation: “If required, you can set up Gemini Code Assist Standard and Enterprise to store user input and responses in a Cloud Logging bucket.”
• Cloud Workstations works with Gemini Code Assist From the official documentation: “Gemini Code Assist is available by default in the following IDEs: - [Cloud Shell Editor](https://cloud.google.com/shell) - [Cloud Workstations](https://cloud.google.com/workstations)”
• Gemini Code Assist depends on Gemini for Google Cloud API From the official documentation: “Gemini Code Assist requires a Google Cloud project to manage API access, quota, and billing. For this reason, you need to enable the Gemini for Google Cloud API in a Google Cloud project of your choice before users can access Gemini Code Assist.”
• Identity and Access Management secures Gemini Code Assist From the official documentation: “You can use Identity and Access Management (IAM) to control application developer access to Gemini Code Assist Standard or Enterprise.”
• VPC Service Controls secures Gemini Code Assist From the official documentation: “The API for Gemini Code Assist can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Cloud Audit Logs works with VPC Service Controls From the official documentation: “VPC Service Controls integrate with Cloud Audit Logs to monitor access to the control plane.”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• Cloud Monitoring works with Dataflow From the official documentation: “Dataflow is fully integrated with Cloud Monitoring.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Audit Logs works with Cloud Storage From the official documentation: “Use Cloud Audit Logs to generate logs for API operations performed in Cloud Storage.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
• BigQuery works with Gemini Cloud Assist From the official documentation: “To use Gemini Cloud Assist to help you [troubleshoot a query failure or performance issue](/bigquery/docs/use-cloud-assist#analyze_jobs), do the following: 1. In the Google Cloud console, go to the **BigQuery** page.”
• Cloud Logging works with Cloud Monitoring From the official documentation: “If a log entry matches the filter of the alerting policy, then Cloud Logging extracts labels and forwards the data to Cloud Monitoring.”
• Cloud Logging works with Dataflow From the official documentation: “Information stored in [Cloud Logging](/logging/docs/region-support) is primarily generated by the code in your Dataflow program.”
• Cloud Monitoring works with Compute Engine From the official documentation: “Many Google services like Compute Engine send telemetry to Cloud Monitoring.”
• Dataflow depends on Cloud Storage From the official documentation: “Begin by creating a Cloud Storage bucket using the Google Cloud console or Google Cloud CLI. The Dataflow pipeline uses this bucket as a temporary storage location.”
• Dataflow depends on Compute Engine From the official documentation: “When you run your pipeline on the Dataflow service, Dataflow creates Compute Engine instances to run your pipeline code.”
• Identity and Access Management secures Cloud Workstations From the official documentation: “Cloud Workstations uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management works with VPC Service Controls From the official documentation: “VPC Service Controls perimeters and Identity and Access Management (IAM) roles work together.”
• VPC Service Controls secures Cloud Workstations From the official documentation: “The API for Cloud Workstations can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Compute Engine From the official documentation: “To further protect your Compute Engine resources, you can protect them using [VPC Service Controls](/vpc-service-controls/docs/overview).”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• BigQuery works with Compute Engine From the official documentation: “Compute Engine integrates with Google Cloud technologies such as Cloud Storage, Google Kubernetes Engine, and BigQuery, to extend beyond the basic computational capability to create more complex and sophisticated applications.”
• BigQuery is an alternative to Dataflow From the official documentation: “To automate the EDA process, use BigQuery or a managed data processing service like Dataflow.”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud Audit Logs works with Cloud Logging From the official documentation: “For real-time analysis, alerting, and visualization, stream the audit logs to [Cloud Logging](/logging/docs/overview).”
• Cloud Audit Logs works with Gemini Cloud Assist From the official documentation: “Actions taken by Gemini Cloud Assist are recorded in Cloud Audit Logs under your identity, as if you took the action.”
• Cloud Audit Logs works with Gemini for Google Cloud API From the official documentation: “This document lists the audited methods for cloudaicompanion API. Google Cloud services generate audit logs that record administrative and access activities within your Google Cloud resources.”
• Cloud Logging is an alternative to Cloud Monitoring From the official documentation: “To see the status of your invalidation request or find a definitive list of recently submitted requests, you can use Cloud Logging or Cloud Monitoring.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “When you specify your own service account for builds, you must store your build logs either in Cloud Logging or in a user-created Cloud Storage bucket.”
• Cloud Logging works with Cloud Workstations From the official documentation: “Cloud Logging receives, indexes, and stores platform log entries from Google Cloud services, such as Cloud Workstations.”
• Cloud Logging works with Gemini Cloud Assist From the official documentation: “Cloud Logging sends the text of the log entry to Gemini Cloud Assist with a prompt to summarize the contents of the log entry.”
• Cloud Logging works with VPC Service Controls From the official documentation: “This page describes how you can find VPC Service Controls errors using Cloud Logging.”
• Cloud Monitoring depends on Identity and Access Management From the official documentation: “To use Monitoring, you must have the appropriate [Identity and Access Management](/iam/docs/overview) (IAM) permissions.”
• Cloud Monitoring works with VPC Service Controls From the official documentation: “Cloud Monitoring performs the VPC perimeter check when a project is *added* to a metrics scope:”
• Cloud Storage works with Gemini Cloud Assist From the official documentation: “When you use Gemini Cloud Assist, you can enter prompts about how Cloud Storage works in general, and when you enable a Storage Intelligence subscription, you can enter prompts about specific buckets and objects.”
• Cloud Workstations depends on Compute Engine From the official documentation: “Workstations are hosted on Compute Engine instances.”
• Dataflow depends on Identity and Access Management From the official documentation: “Dataflow uses Identity and Access Management (IAM) for authorization.”
• Dataflow works with VPC Service Controls From the official documentation: “To customize DNS resolution when using Dataflow with VPC Service Controls, use Cloud DNS [private zones](/dns/docs/overview#dns-private-zones) instead of using custom BIND servers.”
• Gemini Cloud Assist depends on Gemini for Google Cloud API From the official documentation: “In order to function, Gemini Cloud Assist relies on the [**Gemini Cloud Assist API**](https://console.cloud.google.com/apis/library/geminicloudassist.googleapis.com) (`geminicloudassist.googleapis.com`) and the [**Cloud AI Companion…”
• Gemini Cloud Assist depends on Identity and Access Management From the official documentation: “To support questions and requests about your Google Cloud resources, Gemini Cloud Assist needs the appropriate Identity and Access Management (IAM) permissions for those resources.”
• Identity and Access Management secures Cloud Audit Logs From the official documentation: “IAM permissions and roles determine your ability to access audit logs data in the [Logging API](/logging/docs/reference/v2/rest), the [Logs Explorer](/logging/docs/view/logs-explorer-interface), and the [Google Cloud CLI](/logging/docs/reference/tools/gcloud-logging).”
• Identity and Access Management secures Dataflow From the official documentation: “To control access to Dataflow resources for users, groups, and service accounts in a project or organization, use Identity and Access Management (IAM).”
• VPC Service Controls secures Cloud Logging From the official documentation: “The API for Cloud Logging can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”