Cluster Director

Related topics

• Cloud Logging works with Cluster Director From the official documentation: “Cluster Director integrates with Logging to provide detailed logs of your cluster operations and the Slurm environment.”
• Cloud Monitoring works with Cluster Director From the official documentation: “This document explains how to monitor the performance and health of your Slurm clusters in Cluster Director by creating custom dashboards or alerting policies in Cloud Monitoring.”
• Cluster Director depends on Cloud Storage From the official documentation: “If you plan to use optional storage services in your cluster besides a mandatory Filestore instance, then you must verify that you have sufficient quota for any of the following services:”
• Cluster Director works with Google Cloud CLI From the official documentation: “Programming reference for using the Google Cloud CLI with Cluster Director through `gcloud alpha cluster-director` commands.”
• VPC Service Controls secures Cluster Director From the official documentation: “To enhance the security of your cluster, you can optionally use VPC Service Controls.”
• Cloud Storage works with Storage Transfer Service From the official documentation: “Transfer data between Cloud Storage services such as AWS S3 and Cloud Storage.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Dataflow works with Managed Service for Apache Airflow From the official documentation: “Launch Dataflow pipelines with Cloud Composer”
• Cloud Storage works with Google Cloud CLI From the official documentation: “The gcloud CLI is the preferred command line tool for accessing Cloud Storage.”
• Cloud Logging works with Cloud Monitoring From the official documentation: “You can store and view query-response activity logs in Cloud Logging and set up logs-based monitoring by using Cloud Monitoring.”
• 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 Logging works with Storage Transfer Service From the official documentation: “Enable Cloud Logging for agentless transfers, or transfers from S3-compatible sources, with `--log-actions` and `--log-action-states`.”
• Cloud Storage works with Compute Engine From the official documentation: “For example, you can create a service account that your Compute Engine instances use to access objects stored in Cloud Storage buckets.”
• Cloud Storage works with Managed Service for Apache Spark From the official documentation: “Managed Service for Apache Spark accesses these files on 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 Run works with Cloud Storage From the official documentation: “Receive events from Cloud Storage in a Cloud Run service”
• Compute Engine works with Google Cloud CLI From the official documentation: “Some applications might use commands from the gcloud CLI, which is included by default in most Compute Engine images.”
• Compute Engine works with Managed Service for Apache Spark From the official documentation: “Google Compute Engine provides a runtime environment for all features provided by Managed Service for Apache Spark and Gemini Enterprise Agent Platform.”
• Managed Service for Apache Spark depends on Cloud Storage From the official documentation: “Managed Service for Apache Spark uses Cloud Storage as its default distributed file system.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• 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.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “Instead, they are routed to either Cloud Storage (recommended) or Cloud Logging, depending on your organization's configuration.”
• Cloud Monitoring works with Cloud Run From the official documentation: “Cloud Monitoring records metrics regarding the execution of Cloud Run.”
• Cloud Monitoring works with Dataflow From the official documentation: “Dataflow is fully integrated with Cloud Monitoring.”
• Cloud Monitoring works with Managed Service for Apache Airflow From the official documentation: “To learn about Cloud Logging and Cloud Monitoring for your Managed Airflow environment, see [Monitor environments](/composer/docs/composer-2/monitor-environments).”
• Cloud Storage works with Managed Service for Apache Airflow From the official documentation: “When you upload your DAG file to the `dags/` folder in Cloud Storage, Managed Airflow parses the file.”
• 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 Dataflow runs a pipeline, the processing is distributed across multiple Compute Engine virtual machines (VMs), also known as workers.”
• Dataflow works with Google Cloud CLI From the official documentation: “Dataflow integrates with the Google Cloud CLI.”
• Dataflow is an alternative to Managed Service for Apache Spark From the official documentation: “For more complex data loads into your Cloud SQL for PostgreSQL database, consider using Dataflow or Managed Service for Apache Spark, which involves creating an ETL process.”
• Managed Service for Apache Airflow works with Managed Service for Apache Spark From the official documentation: “This tutorial shows how to use Managed Service for Apache Airflow to create an [Apache Airflow](http://airflow.apache.org) DAG (Directed Acyclic Graph) that runs an Apache Hadoop wordcount job on a Managed Service for Apache Spark cluster.”
• Managed Service for Apache Spark depends on Compute Engine From the official documentation: “Managed Service for Apache Spark clusters are built on [Compute Engine](/compute) instances.”
• Storage Transfer Service depends on Cloud Storage From the official documentation: “Storage Transfer Service requires access to Cloud Storage buckets in order to move data into or between Cloud Storage buckets.”
• 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).”
• 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 works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Logging works with Dataflow From the official documentation: “You can control the volume of Dataflow logs ingested by Cloud Logging by following the [Filter logs documentation](/dataflow/docs/guides/filter-logs).”
• Cloud Logging is an alternative to Google Cloud CLI From the official documentation: “This section shows you how to verify the encryption key that was used during cluster creation. You can perform this verification using Cloud Logging or by using the Google Cloud CLI.”
• Cloud Logging works with Managed Service for Apache Airflow From the official documentation: “To learn about Cloud Logging and Cloud Monitoring for your Managed Airflow environment, see [Monitor environments](/composer/docs/composer-2/monitor-environments).”
• Cloud Logging works with Managed Service for Apache Spark From the official documentation: “Enables (`true`) or disables (`false`) Managed Service for Apache Spark job driver logs in [Cloud Logging](/logging/docs).”
• 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 works with Compute Engine From the official documentation: “Many Google services like Compute Engine send telemetry to Cloud Monitoring.”
• Cloud Monitoring works with Managed Service for Apache Spark From the official documentation: “Monitoring uses workload metadata and metrics to provide insights into the health and performance of Managed Service for Apache Spark workloads.”
• Cloud Monitoring works with Storage Transfer Service From the official documentation: “Cloud Monitoring is automatically enabled for Storage Transfer Service.”
• 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 Run works with Compute Engine From the official documentation: “This lets Cloud Run clients use this backend service route to send requests directly to Compute Engine instances.”
• Cloud Run works with Google Cloud CLI From the official documentation: “Google Cloud CLI contains a [local development environment](/sdk/gcloud/reference/beta/code/dev) for emulating Cloud Run that can build a container from source, run the container on your local machine, and automatically rebuild the container upon source code changes.”
• 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.”
• Google Cloud CLI configures Cloud Logging From the official documentation: “You can update your cluster's [Cloud Logging](/kubernetes-engine/multi-cloud/docs/aws/how-to/cloud-logging) configuration settings with the Google Cloud CLI.”
• Google Cloud CLI configures Compute Engine From the official documentation: “To replace a BYOL license with a PAYG license, use the Google Cloud CLI or the Compute Engine API.”
• Google Cloud CLI works with Managed Service for Apache Airflow From the official documentation: “Using the Google Cloud CLI with Managed Service for Apache Airflow”
• Google Cloud CLI works with Managed Service for Apache Spark From the official documentation: “When you use the [gcloud CLI](/sdk/gcloud/reference/dataproc) to access Managed Service for Apache Spark, you authenticate to Google Cloud as a principal, which provides the credentials used by the gcloud CLI commands.”
• Google Cloud CLI configures Managed Service for Apache Spark From the official documentation: “You can specify one or more labels to be applied to a Managed Service for Apache Spark cluster or job at creation or submit time using the Google Cloud CLI.”
• Google Cloud CLI is an alternative to Storage Transfer Service From the official documentation: “**Note:** To transfer less than 1 TB of data from Cloud Storage buckets, use the Google Cloud CLI. For more information, see [Copying data from a Cloud Storage bucket to a Filestore file share](/filestore/docs/copying-data) or [When to use Storage Transfer…”
• Managed Service for Apache Airflow works with VPC Service Controls From the official documentation: “By configuring your environment with VPC Service Controls, you can keep sensitive data private while taking advantage of the fully-managed workflow orchestration capabilities of Managed Airflow.”
• Managed Service for Apache Spark depends on Cloud Logging From the official documentation: “Managed Service for Apache Spark clusters require network connectivity to Google Cloud APIs and services, such as the Dataproc API, Cloud Storage, and Cloud Logging, and to user resources, such as data sources in other VPC networks or on-premises environments.”
• Managed Service for Apache Spark works with VPC Service Controls From the official documentation: “Consider the following strategies when you use VPC-SC networks with Managed Service for Apache Spark:”
• Storage Transfer Service works with VPC Service Controls From the official documentation: “For information about using VPC Service Controls with Storage Transfer Service, see [Using Storage Transfer Service with VPC Service Controls](/storage-transfer/docs/transfer-with-vpc-sc).”
• VPC Service Controls secures Cloud Monitoring From the official documentation: “VPC Service Controls provides additional security for Cloud Monitoring to help mitigate the risk of data exfiltration.”
• VPC Service Controls secures Cloud Run From the official documentation: “To learn more about the security features that Cloud Run provides, use the following resources: - [Access control with Identity and Access Management (IAM)](/run/docs/securing/managing-access) - [Per-service identity](/run/docs/securing/service-identity) - [Google Cloud Armor…”