Apigee

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• Apigee works with Shared VPC From the official documentation: “If your project uses Shared Virtual Private Cloud (VPC) networking, you can select the shared network that will be used to peer with Apigee.”
• Apigee works with Private Service Connect From the official documentation: “Network connectivity issues between Apigee and a southbound target service connected by Private Service Connect.”
• Apigee works with customer-managed encryption keys From the official documentation: “This page describes using CMEK with Apigee.”
• Apigee works with Compute Engine From the official documentation: “| [Compute Engine](https://console.cloud.google.com/apis/library/compute.googleapis.com) | `compute.googleapis.com` | Used for managing your Apigee runtime. |”
• API Gateway is an alternative to Apigee From the official documentation: “To help secure your model APIs, use Apigee or [API Gateway](/api-gateway/docs).”
• Apigee works with BigQuery From the official documentation: “You can use the Apigee API to export all analytics data for an entire day from Apigee to your own data repository, such as Google Cloud Storage or BigQuery.”
• Apigee works with Cloud Load Balancing From the official documentation: “Load balancer configured to send API calls to Apigee”
• Apigee works with Cloud Logging From the official documentation: “This page describes how to find and use [Cloud Logging](/logging/docs) to query and view maintenance logs for an Apigee instance.”
• Apigee works with Cloud Monitoring From the official documentation: “If you are behind a corporate proxy or firewall, Apigee may not be able to send metrics to Cloud Monitoring with its default settings.”
• Apigee works with Cloud Run From the official documentation: “Apigee supports using [Google OAuth tokens](https://developers.google.com/identity/protocols/oauth2) or [OpenID Connect tokens](https://developers.google.com/identity/protocols/oauth2/openid-connect) to authenticate with Google services such as [Cloud…”
• Apigee depends on Cloud Service Mesh From the official documentation: “The objective of the runtime plane version support policy is to allow customers the flexibility to schedule upgrades when it meets their business needs, while balancing the rapid evolution of Apigee (and its dependency on underlying components like Anthos and Anthos Service…”
• Apigee works with Google Cloud Storage From the official documentation: “You can use the Apigee API to export all analytics data for an entire day from Apigee to your own data repository, such as Google Cloud Storage or BigQuery.”
• Apigee works with VPC Service Controls From the official documentation: “Apigee integrations with VPC Service Controls have the following limitations:”
• customer-managed encryption keys secures Apigee From the official documentation: “To ensure that customer-managed encryption keys are always used when encrypting your data in Apigee, create the following organization policy constraint:”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• 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”
• Cloud Logging works with customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Identity and Access Management secures Cloud Service Mesh From the official documentation: “Access to Cloud Service Mesh in the Google Cloud console is controlled by [Identity and Access Management (IAM)](/iam/docs/overview).”
• BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Logging works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh stores the dry-run results to Cloud Logging in the following labels:”
• Cloud Monitoring works with Cloud Service Mesh From the official documentation: “Mesh telemetry is no longer automatically ingested into Cloud Monitoring.”
• Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
• Cloud Run works with Cloud Service Mesh From the official documentation: “This section shows you how to troubleshoot common errors with Cloud Service Mesh and Cloud Run.”
• Cloud Service Mesh works with VPC Service Controls From the official documentation: “You can now use VPC Service Controls with Cloud Service Mesh.”
• Dataflow works with Managed Service for Apache Airflow From the official documentation: “Launch Dataflow pipelines with Cloud Composer”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• Cloud Logging works with Managed Service for Apache Airflow From the official documentation: “You can use [Cloud Monitoring](/monitoring/docs) and [Cloud Logging](/logging/docs) with Managed Service for Apache Airflow.”
• Cloud Run is an alternative to GKE From the official documentation: “The app uses Cloud SQL, Vertex AI, and either Google Kubernetes Engine (GKE) or Cloud Run.”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• Managed Service for Apache Airflow works with Shared VPC From the official documentation: “Make sure that you configured Shared VPC networking for Managed Airflow.”
• Shared VPC works with VPC Service Controls From the official documentation: “If you use both Shared VPC and VPC Service Controls, the host project that contains the network and the service project that contains the Managed Lustre instance must both be inside the same perimeter.”
• BigQuery works with Managed Service for Apache Airflow From the official documentation: “You can use Managed Airflow to orchestrate services in your data pipelines, such as triggering a job in BigQuery or starting a Dataflow pipeline.”
• Cloud Load Balancing works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh works with Cloud Load Balancing to provide a managed ingress experience.”
• Cloud Monitoring works with Managed Service for Apache Airflow From the official documentation: “You can use [Cloud Monitoring](/monitoring/docs) and [Cloud Logging](/logging/docs) with Managed Service for Apache Airflow.”
• customer-managed encryption keys secures Gemini Enterprise Agent Platform From the official documentation: “Enable customer-managed encryption keys (CMEK) for the Gemini Enterprise Agent Platform to gain more control over data encryption and key management.”
• API Gateway works with Cloud Run From the official documentation: “API Gateway only supports Cloud Run gRPC services at this time.”
• Cloud Monitoring works with Dataflow From the official documentation: “Dataflow is fully integrated with Cloud Monitoring.”
• Cloud Service Mesh depends on GKE From the official documentation: “Provision managed Cloud Service Mesh on a GKE cluster.”
• Cloud Service Mesh works with GKE From the official documentation: “# Set up a proxyless gRPC service mesh on GKE”
• customer-managed encryption keys secures Managed Service for Apache Airflow From the official documentation: “This page describes how to use [Customer Managed Encryption Keys (CMEK)](/kms/docs/cmek) to protect Managed Airflow environments.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• VPC Service Controls secures Managed Service for Apache Airflow From the official documentation: “Managed Airflow can be selected as a secured service inside a VPC Service Controls perimeter.”
• 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 Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Run works with Google Cloud Storage From the official documentation: “The Cloud Run function will receive syslog messages from FortiEDR via HTTP and write them to GCS.”
• Cloud Service Mesh works with Compute Engine From the official documentation: “You can run applications on the following platforms and adopt them into a global service mesh that Cloud Service Mesh configures. | Feature | Supported | | --- | --- | | Compute Engine virtual machine (VM) instances | ✔ |”
• Cloud Service Mesh works with Identity and Access Management From the official documentation: “For information about how and which permissions are evaluated for each method, see the Identity and Access Management documentation for Cloud Service Mesh.”
• Cloud Service Mesh works with Shared VPC From the official documentation: “For a detailed explanation of how Shared VPC is supported with Cloud Service Mesh, see [Limitations](/service-mesh/v1.25/docs/service-routing/limitations).”
• Compute Engine works with Google Cloud Storage From the official documentation: “The usage export bucket is a Google Cloud Storage bucket where Compute Engine usage reports are stored.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• Managed Service for Apache Airflow depends on GKE From the official documentation: “Managed Airflow runs your workloads on GKE.”
• Managed Service for Apache Airflow works with VPC Service Controls From the official documentation: “When used with Managed Airflow, VPC Service Controls have several [known limitations](/vpc-service-controls/docs/supported-products#composer).”
• Private Service Connect works with VPC Service Controls From the official documentation: “VPC Service Controls that use Private Service Connect”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “The API for Agent Platform can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”