Batch

Related topics

• Batch depends on Compute Engine From the official documentation: “After you submit the job, Batch automatically queues, schedules, and executes the job on Compute Engine VMs.”
• Batch works with Compute Engine From the official documentation: “After you submit the job, Batch automatically queues, schedules, and executes the job on Compute Engine VMs.”
• Batch works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs for Batch let you track administrative and data-access operations on your resources to help you monitor access and configuration changes.”
• Batch works with Cloud Logging From the official documentation: “This document describes how to enable, generate, and view [logs](/logging/docs/overview) from [Cloud Logging](/logging/docs) for a Batch job.”
• Batch works with Cloud Monitoring From the official documentation: “This document describes how to monitor and try to optimize the resources for a Batch job by viewing metrics in Cloud Monitoring.”
• Batch works with Cloud Scheduler From the official documentation: “Specifically, you can use Terraform to schedule and run a Cloud Scheduler cron job that targets the Batch API to create and run Batch jobs.”
• Batch works with Cloud Storage bucket From the official documentation: “Create and submit a sample Batch job that runs a script that accesses an existing Cloud Storage bucket.”
• Batch is an alternative to Compute Engine From the official documentation: “3. Do you want to manage VMs or bare metal instances yourself? - **Yes**: [use Compute Engine](#compute-engine). - **No**: [use Batch](#batch).”
• Batch is part of Managed Service for Apache Spark From the official documentation: “In Managed Service for Apache Spark, a `Batch` resource represents a batch workload.”
• Batch works with Pub/Sub From the official documentation: “Batch supports Pub/Sub notifications for changes to job and task states, which you can use for alerts, observability, or analysis.”
• Batch depends on service account From the official documentation: “Each job requires a service account that allows the Batch service agent to create and access the resources required to run the job.”
• Batch works with VPC Service Controls From the official documentation: “This document explains how to use VPC Service Controls with Batch.”
• Identity and Access Management secures Batch From the official documentation: “Batch uses Identity and Access Management (IAM) for authorization.”
• Job is part of Batch From the official documentation: “Batch consists of the following components: - **Job:** a scheduled program that runs a set of tasks to completion without any user interaction, typically for computational workloads.”
• VPC Service Controls secures Batch From the official documentation: “Protect Batch resources and data by using VPC Service Controls.”
• 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 Storage From the official documentation: “Sample to load Avro data from Cloud Storage into a new BigQuery table”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• Cloud Run depends on Pub/Sub From the official documentation: “Cloud Run function triggered by Pub/Sub to fetch HYPR MFA logs and write to GCS.”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• Cloud Run works with Cloud Scheduler From the official documentation: “Create a Cloud Scheduler job that triggers the Cloud Run service daily.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Compute Engine works with service account From the official documentation: “A common method is to attach a service account to a resource like a Compute Engine instance.”
• 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 Run works with Cloud SQL From the official documentation: “Connecting from Cloud Run (fully managed) to Cloud SQL”
• Cloud Scheduler works with Pub/Sub From the official documentation: “Create a Pub/Sub topic to set up as your Cloud Scheduler job target.”
• Cloud SQL works with Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud Logging works with Pub/Sub From the official documentation: “Pub/Sub writes various log entries to Cloud Logging in the Google Cloud console.”
• Cloud Run depends on service account From the official documentation: “The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by Pub/Sub.”
• Cloud Storage is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• Cloud Audit Logs works with Cloud Storage From the official documentation: “This page provides supplemental information for using [Cloud Audit Logs](/logging/docs/audit) with Cloud Storage.”
• 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 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 SQL From the official documentation: “Database Migration Service and Cloud SQL use Cloud Logging.”
• 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 Run works with Google Cloud Storage From the official documentation: “The Cloud Run function needs a service account with permissions to write to GCS bucket.”
• 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 Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• BigQuery is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• 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”
• Cloud Run works with Identity and Access Management From the official documentation: “For example, a remote backend deployed on Cloud Run can use Identity and Access Management (IAM) to:”
• Cloud Scheduler depends on service account From the official documentation: “To sync a replicated taxonomy across locations with Cloud Scheduler, you need a service account.”
• Cloud Storage bucket is part of Cloud Storage From the official documentation: “Create a Google Cloud Storage bucket”
• 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.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• 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.”
• service account is part of Identity and Access Management From the official documentation: “Service accounts function as both principals and resources within IAM.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• 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.”