pino Google Cloud Run configuration
Fastify Google Cloud Run configuration
Render Remotion videos on Google Cloud Run
Instana tracing and monitoring for Node.js based Google Cloud Run services
Cloud Run Admin API
A server for VersaTiles in Google Cloud Run
Binaries for Poppler for Google Cloud Run functions (Ubuntu Linux). The binaries are installed using apt-get inside a fixed Docker image that Google Cloud Run functions use (us-central1-docker.pkg.dev/serverless-runtimes/google-22/runtimes/nodejs18@sha256
Binaries for ffprobe (Ubuntu Linux). The binaries are installed using apt-get inside a fixed Docker image that Google Cloud Run functions use (us-central1-docker.pkg.dev/serverless-runtimes/google-22/runtimes/nodejs18@sha256:023bea2a56aa1a5dfb6b760a79754f
IAP-protected redirect to localhost running as a service on Google Cloud Run
Google Cloud Run & Google Cloud Function invoker
Transforms Pino logs to structured Google Cloud Run logs
Terraform CDK Constructs for Google Cloud Run
NPM package to generate minimum recommended resource options for google cloud run gen 2 https://cloud.google.com/run/docs/configuring/services/memory-limits
A CLI tool to easily deploy Meteor.js applications to Google Cloud Run
Google Cloud Run client for nodejs
Google APIs Authentication Client Library for Node.js
Cloud Storage Client Library for Node.js
A simple utility for promisifying functions and classes.
A simple utility for replacing the projectid token in objects.
Cloud Logging Client Library for Node.js
A result paging utility used by Google node.js modules
Google Cloud Run runtime for @_all_docs/worker
Google APIs Client Library for Node.js
Firebase JavaScript library for web and Node.js
PMCP SDK developer tools MCP server - protocol testing, scaffolding, schema export, and documentation
Google Cloud Client Libraries for Rust - Cloud Run Admin API
A Google APIs client library generated by tonic-build
A Google APIs client library generated by tonic-build
Cloud Run deploys and manages user provided container images that scale automatically based on incoming requests. Note that google-cloud-run-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-run-client instead. See the readme for more details.
Cloud Run deploys and manages user provided container images that scale automatically based on incoming requests.
Opinionated Logging, Error Reporting and minor patches for Rails on Google Cloud Run.
IAP lets you establish a central authorization layer for applications accessed by HTTPS, so you can use an application-level access control model instead of relying on network-level firewalls. Note that google-cloud-iap-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-iap 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. 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.
The Functions Framework is an open source framework for writing lightweight, portable Ruby functions that run in a serverless environment. Functions written to this Framework will run on Google Cloud Functions, Google Cloud Run, or any other Knative-based environment.
google-cloud-env provides information on the Google Cloud Platform hosting environment. Applications can use this library to determine hosting context information such as the project ID, whether App Engine is running, what tags are set on the VM instance, and much more.
The google-serverless-exec gem provides a way to safely run production maintenance tasks, such as database migrations, for your serverless applications deployed to Google App Engine or Google Cloud Run.
Anthos Multi-Cloud provides a way to manage Kubernetes clusters that run on AWS and Azure infrastructure using the Anthos Multi-Cloud API. Combined with Connect, you can manage Kubernetes clusters on Google Cloud, AWS, and Azure from the Google Cloud Console. Note that google-cloud-gke_multi_cloud-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-gke_multi_cloud instead. See the readme for more details.
The Error Reporting API provides a simple endpoint to report errors from your running service, and read access to error groups and their associated errors. Note that google-cloud-error_reporting-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-error_reporting instead. See the readme for more details.
Workflows link series of serverless tasks together in an order you define. Combine the power of Google Cloud's APIs, serverless products like Cloud Functions and Cloud Run, and calls to external APIs to create flexible serverless applications. Workflows requires no infrastructure management and scales seamlessly with demand, including scaling down to zero.. Note that google-cloud-workflows-executions-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-workflows instead. See the readme for more details.
Workflows link series of serverless tasks together in an order you define. Combine the power of Google Cloud's APIs, serverless products like Cloud Functions and Cloud Run, and calls to external APIs to create flexible serverless applications. Workflows requires no infrastructure management and scales seamlessly with demand, including scaling down to zero.. Note that google-cloud-workflows-v1beta is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-workflows instead. See the readme for more details.
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