commitment

Related topics

• Compute Engine configures commitment From the official documentation: “When you enable auto-renewal on a resource-based commitment, each time your commitment reaches the end of its term, Compute Engine automatically renews that commitment for a new term.”
• commitment works with reservation From the official documentation: “When you purchase a new commitment, you can attach reservations to your commitment in either of the following ways:”
• commitment depends on quota From the official documentation: “Compute Engine creates the commitment and the attached reservations only if there are enough resources of the specified machine type in the target zone, and sufficient quota, at the time of your request.”
• commitment depends on reservations From the official documentation: “To get zonal resources at discounted prices and also ensure that capacity is reserved for them, you must both purchase commitments and create reservations for those zonal resources.”
• reservation is part of commitment From the official documentation: “To replace the attached reservation `res-1` with `res-2` for the `my-commitment-with-reservations` commitment, make the following `POST` request by using the [`regionCommitments.updateReservations`](/compute/docs/reference/rest/beta/regionCommitments/updateReservations) method:”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• BigQuery works with Vertex AI From the official documentation: “The page provides guidance for getting predictions from Vertex AI, based on retail [data exported into BigQuery](/retail/docs/export-data-into-bq).”
• reservation works with Vertex AI From the official documentation: “You can modify the reservation to allow Vertex AI training or prediction jobs to use it.”
• labels is part of BigQuery From the official documentation: “BigQuery supports adding labels to resources.”
• labels configures reservation From the official documentation: “When you add a label to a reservation, it is included in your billing data.”
• reservations is part of Compute Engine From the official documentation: “Reservations are a Compute Engine feature.”
• autoscaling slots is part of reservation From the official documentation: “You can specify the number of slots in a reservation as a baseline amount which is always allocated, or as an autoscaled amount, which is allocated when needed.”
• autoscaling slots is part of reservations From the official documentation: “Reservations can include *baseline* slots, which are always allocated, as well as *autoscaled* slots, which are [added or removed dynamically](/bigquery/docs/slots-autoscaling-intro) based on the demands of your workload.”
• 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 works with labels From the official documentation: “Labels are exported to BigQuery with the corresponding Google Cloud resources and their usage.”
• 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 reservations From the official documentation: “This document explains how to resolve issues with monitoring the consumption of [reservations](/compute/docs/instances/reservations-overview) of Compute Engine zonal resources by using Cloud Monitoring.”
• Compute Engine works with reservation From the official documentation: “After you attach your reservations, Compute Engine automatically populates the fields in the **Commitment details** section to match the numbers and types of resources from your attached reservations.”
• idle slots works with reservation From the official documentation: “A reservation is an isolated pool of resources with the added benefit of being able to take advantage of idle capacity in a given region across your organization.”
• idle slots is part of reservations From the official documentation: “By default, queries running in a reservation automatically use idle slots from other reservations within the same administration project.”
• idle slots works with reservations From the official documentation: “In addition, [idle slots](/bigquery/docs/slots#idle_slots) can be shared across reservations.”
• labels configures Compute Engine From the official documentation: “Labels that are applied to the workstation and propagated to the underlying Compute Engine resources.”
• reservation is part of Compute Engine From the official documentation: “If Google Cloud approves your request, then Compute Engine creates reservations with your requested resources at your specified date and time.”
• reservations is part of BigQuery From the official documentation: “BigQuery offers the following controls for workload management (WLM): - [Interactive queries](/bigquery/docs/running-queries#queries), which are executed as soon as possible (this is the default setting). - [Batch queries](/bigquery/docs/running-queries#batch), which are queued…”
• reservations works with Vertex AI From the official documentation: “The *sharing policy* specifies if a reservation of GPU VMs can be consumed by [custom training jobs](/vertex-ai/docs/training/overview) or [prediction jobs](/vertex-ai/docs/predictions/overview) in Vertex AI.”