Google Cloud Client Library for Ruby. Contribute to googleapis/google-cloud-ruby development by creating an account on GitHub.

Learn how to use Google Cloud product libraries and frameworks to build and iterate Ruby apps on Google Cloud.

The Google APIs Ruby Client is a client library for using the broad set of Google APIs. gcloud is built specifically for the Google Cloud Platform and is the recommended way to integrate Google Cloud APIs into your Ruby applications.

Google Cloud Client Library for Ruby - an idiomatic, intuitive, and natural way for Ruby developers to integrate with Google Cloud Platform services, like Cloud Datastore and Cloud Storage.

Ruby · Documentation · Guides · Send feedback · This tutorial is intended for those new to building apps in the cloud, such as engineers and web developers, who want to learn key app development concepts as they apply to Google Cloud. Learn basic Google Cloud tools, such as the Google Cloud console and gcloud.

Ruby · Reference · Send feedback · The Cloud Client Libraries are the recommended way to access Google Cloud APIs programmatically. The Cloud Client Libraries support accessing Google Cloud services in a way that significantly reduces the ...

Install Ruby. Install Bundler. Install an editor (optional). Install the Google Cloud CLI.

require "google/cloud/storage" storage = Google::Cloud::Storage.new bucket = storage.bucket "my-todo-app"

It's easy to get started developing Ruby on Rails apps that run on Google Cloud.

September 26, 2017 - GCS includes Ruby samples for the Cloud Client Libraries. So, beyond the setup, I’m not going to reproduce that content here. https://cloud.google.com/storage/docs/listing-buckets#storage-list-buckets-ruby

Most modern Ruby client libraries for Google APIs come in two flavors: the main client library with a name such as google-cloud-document_ai, and lower-level versioned client libraries with names such as google-cloud-document_ai-v1beta3.

October 25, 2021 - In a serverless world, we abstract the provisioning, maintenance, and scaling of our backend services to the cloud provider. This substantially improves developer productivity by allowing developers focus on solving a specific problem. While there are many advantages and disadvantages of building serverless functions, one thing to consider in building them is language support. Recently, Google announced the support of Ruby 2.7 for Google Cloud Functions, and in this article, I'll focus on building, testing, and deploying a serverless function in Ruby on Google Cloud Functions and the pros and cons of serverless functions.

The goal of google-cloud is to provide a API that is comfortable to Rubyists. Authentication is handled by #storage.

Most modern Ruby client libraries for Google APIs come in two flavors: the main client library with a name such as google-cloud-run-client, and lower-level versioned client libraries with names such as google-cloud-run-v2.

Reference documentation and code samples for the Document AI API module Google::Cloud.

Google Cloud Client Library for Ruby. Contribute to googleapis/google-cloud-ruby development by creating an account on GitHub.

The BigQuery data types are converted to and from Ruby types as follows: See Data Types for an overview of each BigQuery data type, including allowed values. Let's start with the simplest way to run a query. Notice that this time you are connecting using your own default project. It is necessary to have write access to the project for running a query, since queries need to create tables to hold results. require "google/cloud/bigquery" bigquery = Google::Cloud::Bigquery.new sql = "SELECT APPROX_TOP_COUNT(corpus, 10) as title, " \ "COUNT(*) as unique_words " \ "FROM `bigquery-public-data.samples.shakespeare`" data = bigquery.query sql data.next?

August 10, 2017 - ⬢ RubyGems Navigation menu · google-cloud is the official library for Google Cloud Platform APIs.

Most modern Ruby client libraries for Google APIs come in two flavors: the main client library with a name such as google-cloud-ai_platform, and lower-level versioned client libraries with names such as google-cloud-ai_platform-v1.