Render media and stills on GCP Cloud Run
Cloud Run Admin API
Firebase JavaScript library for web and Node.js
FaaS (Function as a service) framework for writing portable Node.js functions
Deployment SDK and CLI for Babysitter Kubernetes environments.
Schema for the protocol between CDK framework and CDK CLI
Cloud Logging Client Library for Node.js
Cloud Storage Client Library for Node.js
Datadog CI plugin for `cloud-run` commands
Faro package that enables easier integration in projects built with React.
A result paging utility used by Google node.js modules
SonarQube/SonarCloud Scanner for the JavaScript world
Firestore Client Library for Node.js
A simple utility for promisifying functions and classes.
A simple utility for replacing the projectid token in objects.
OpenTelemetry resource detector for Alibaba Cloud
Integrate Cypress with alternative cloud services like Sorry Cypress or Currents
Google APIs Authentication Client Library for Node.js
A JavaScript library for connecting securely to your Cloud SQL instances
The Cloud Firestore component of the Firebase JS SDK.
Module to create a basic Pino LoggerConfig to support Google Cloud structured logging
Common components for Cloud APIs Node.js Client Libraries
The Cloud Firestore component of the Firebase JS SDK.
A word cloud component using d3-cloud
Google Cloud Batch is a fully managed service used by scientists, VFX artists, developers to easily and efficiently run batch workloads on Google Cloud. This service manages provisioning of resources to satisfy the requirements of the batch jobs for a variety of workloads including ML, HPC, VFX rendering, transcoding, genomics and others. Note that google-cloud-batch-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-batch instead. See the readme for more details.
Google Cloud Batch is a fully managed service used by scientists, VFX artists, developers to easily and efficiently run batch workloads on Google Cloud. This service manages provisioning of resources to satisfy the requirements of the batch jobs for a variety of workloads including ML, HPC, VFX rendering, transcoding, genomics and others.
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