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Showing content from https://cloud.google.com/batch/ below:

Batch: Simplicity for Batch Computing

Fully managed batch service to schedule, queue, and execute batch jobs on Google's infrastructure.

• Provisions and autoscales capacity while eliminating the need to manage third-party solutions

• Natively integrated with Google Cloud to run, scale, and monitor your workload

Benefits

Focus on business critical tasks

Leverage fully managed and scalable compute infrastructure to shift focus to job submission and extracting business insights from the job's results.

Define your execution model

Run high throughput or tightly coupled computations defined by a script or container.

Enhanced developer experience

Key features

Dynamic resource provisioning and autoscaling

Run any scale batch jobs on cloud compute resources to limit job wait times while executing requests in parallel and scaling resources without manual intervention.

Support for scripts and containerized workloads

Batch provides a consistent experience for Docker containerized workloads and script based workloads that run directly on VMs.

Leverage native services and batch tools

Easily adopt first-party services to control the end-to-end batch workflow from preprocessing to postprocessing.

At Roivant Discovery, we leverage massive computational simulations to drive the discovery of novel drugs across small molecule modalities. Our scientists are required to operate at the cutting edge of quantum physics with speed and agility, at scale. Google Batch's unprecedented simplicity and flexibility will ensure we're always focused on innovation.

Matt Maisak, COO at Roivant Discovery

Documentation

Learn about what is needed to get started with Batch and how easy it is to create a batch job in the console, gcloud, REST API, and client libraries. 

Learn how to submit containerized and script based workloads. These jobs can be array jobs or multi-node jobs using MPI libraries.

Learn about the storage file systems supported by Batch and how to use them with a batch job.

Learn how to view logs to gather insights on job tasks and how to describe the job to inspect its details and statuses.

Learn about all the fields supported by the Batch API and how to use them.

Use cases

High throughput processing of reproducible pipelines used for genomic sequencing, drug discovery, and more.

Perform Monte Carlo simulations and quickly analyze results needed to transact business in the market.

Automate verification tests and simulations based on varying inputs to optimize designs.

Generate a solution

What problem are you trying to solve?

What you'll get:

check_smallStep-by-step guide

check_smallReference architecture

check_smallAvailable pre-built solutions

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All features

Run your scripts natively on Compute Engine VM instances or bring your containerized workload that will run to completion.

Get the latest software and hardware available as a service to use with Batch.

Define priorities for your job and establish automated retry strategies.

Configure Pub/Sub with Batch to asynchronously communicate messages to subscribers.

Retrieve stderr and stdout logs directly to Cloud Logging. Audit logs help you answer questions about who did what, where, and when. Monitor metrics related to resources used in Cloud Monitoring.

Batch APIs can be called directly via gcloud, REST APIs, client libraries, or the Cloud Console. In addition, Batch can be used with an ecosystem of workflow engines.

Control the access of resources and service with IAM permissions and VPC Service Controls.

Pricing

There is no charge for the Batch service. You will only pay for the Google Cloud resources used to execute your batch jobs.

Partners

Innovate with our partners

Ready to take advantage of Batch to run your workloads? These partners can assist you.

Start building on Google Cloud with $300 in free credits and 20+ always free products.

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