RUBY ON GOOGLE CLOUD PLATFORM

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Ruby tools to build cloud-native apps, deploy at scale, and analyze data

• Build planet-scale web apps and APIs
• Use Google’s machine learning APIs with native library support
• Run containerized applications at scale
• Orchestrate infrastructure with Puppet and Chef

LOVINGLY-CRAFTED RUBY GEMS

Take advantage of our APIs and services using the Google Cloud Ruby Gems and test run our code samples.

Upload files to Google Cloud Storage Perform data analytics using Google BigQuery Write custom log data to the Stackdriver API Analyze text with the Cloud Natural Language API

1

Install

gem install google-cloud-storage

2

Set up a Cloud Platform Console project

1. Faça login na sua Conta do Google.

   Se você ainda não tiver uma, inscreva-se.

2. Configurar um projeto do Console do GCP.

   Configurar um projeto

   Clique para:

   • criar ou selecionar um projeto;
   • ativar a(s) Cloud Storage API necessária(s) para o projeto.
   • criar uma conta de serviço;
   • fazer o download de uma chave privada como JSON.

   É possível ver e gerenciar esses recursos a qualquer momento no Console do GCP.

3

Write your code

View on GitHub

# bucket_name       = "Your Google Cloud Storage bucket name"
# local_file_path   = "Path to local file to upload"
# storage_file_path = "Path to store the file in Google Cloud Storage"

require "google/cloud/storage"

storage = Google::Cloud::Storage.new
bucket  = storage.bucket bucket_name

file = bucket.create_file local_file_path, storage_file_path

puts "Uploaded #{file.name}"

Upload files to Google Cloud Storage

1

Install

gem install google-cloud-storage

2

Set up a Cloud Platform Console project

1. Faça login na sua Conta do Google.

   Se você ainda não tiver uma, inscreva-se.

2. Configurar um projeto do Console do GCP.

   Configurar um projeto

   Clique para:

   • criar ou selecionar um projeto;
   • ativar a(s) Cloud Storage API necessária(s) para o projeto.
   • criar uma conta de serviço;
   • fazer o download de uma chave privada como JSON.

   É possível ver e gerenciar esses recursos a qualquer momento no Console do GCP.

3

Write your code

View on GitHub

# bucket_name       = "Your Google Cloud Storage bucket name"
# local_file_path   = "Path to local file to upload"
# storage_file_path = "Path to store the file in Google Cloud Storage"

require "google/cloud/storage"

storage = Google::Cloud::Storage.new
bucket  = storage.bucket bucket_name

file = bucket.create_file local_file_path, storage_file_path

puts "Uploaded #{file.name}"

Perform data analytics using Google BigQuery

1

Install

gem install google-cloud-bigquery

2

Set up a Cloud Platform Console project

1. Faça login na sua Conta do Google.

   Se você ainda não tiver uma, inscreva-se.

2. Configurar um projeto do Console do GCP.

   Configurar um projeto

   Clique para:

   • criar ou selecionar um projeto;
   • ativar a(s) BigQuery API necessária(s) para o projeto.
   • criar uma conta de serviço;
   • fazer o download de uma chave privada como JSON.

   É possível ver e gerenciar esses recursos a qualquer momento no Console do GCP.

3

Write your code

View on GitHub

require "google/cloud/bigquery"

# This uses Application Default Credentials to authenticate.
# @see https://cloud.google.com/bigquery/docs/authentication/getting-started
bigquery = Google::Cloud::Bigquery.new

sql     = "SELECT " +
          "CONCAT('https://stackoverflow.com/questions/', " +
          "       CAST(id as STRING)) as url, view_count " +
          "FROM `bigquery-public-data.stackoverflow.posts_questions` " +
          "WHERE tags like '%google-bigquery%' " +
          "ORDER BY view_count DESC LIMIT 10"
results = bigquery.query sql

results.each do |row|
  puts "#{row[:url]}: #{row[:view_count]} views"
end

Write custom log data to the Stackdriver API

1

Install

gem install google-cloud-logging

2

Set up a Cloud Platform Console project

1. Faça login na sua Conta do Google.

   Se você ainda não tiver uma, inscreva-se.

2. Configurar um projeto do Console do GCP.

   Configurar um projeto

   Clique para:

   • criar ou selecionar um projeto;
   • ativar a(s) Stackdriver Logging API necessária(s) para o projeto.
   • criar uma conta de serviço;
   • fazer o download de uma chave privada como JSON.

   É possível ver e gerenciar esses recursos a qualquer momento no Console do GCP.

3

Write your code

View on GitHub

# Imports the Google Cloud client library
require "google/cloud/logging"

# Your Google Cloud Platform project ID
project_id = "YOUR_PROJECT_ID"

# Instantiates a client
logging = Google::Cloud::Logging.new project: project_id

# Prepares a log entry
entry = logging.entry
# The data to log
entry.payload = "Hello, world!"
# The name of the log to write to
entry.log_name = "my-log"
# The resource associated with the data
entry.resource.type = "global"

# Writes the log entry
logging.write_entries entry

puts "Logged #{entry.payload}"

Analyze text with the Cloud Natural Language API

1

Install

gem install google-cloud-language

2

Set up a Cloud Platform Console project

1. Faça login na sua Conta do Google.

   Se você ainda não tiver uma, inscreva-se.

2. Configurar um projeto do Console do GCP.

   Configurar um projeto

   Clique para:

   • criar ou selecionar um projeto;
   • ativar a(s) Cloud Storage API necessária(s) para o projeto.
   • criar uma conta de serviço;
   • fazer o download de uma chave privada como JSON.

   É possível ver e gerenciar esses recursos a qualquer momento no Console do GCP.

3

Write your code

View on GitHub

# Imports the Google Cloud client library
require "google/cloud/language"

# Instantiates a client
language = Google::Cloud::Language.language_service

# The text to analyze
text = "Hello, world!"

# Detects the sentiment of the text
document = { content: text, type: :PLAIN_TEXT }
response = language.analyze_sentiment document: document

# Get document sentiment from response
sentiment = response.document_sentiment

puts "Text: #{text}"
puts "Score: #{sentiment.score}, #{sentiment.magnitude}"

RUBY QUICK STARTS

App Engine

Deploy, manage and scale web applications and APIs with ease in Google’s PaaS.

QUICKSTART

Kubernetes Engine

Use Kubernetes to build powerful container-based application.

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Compute Engine

Use cloud-based virtual machines to build and deploy your application.

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Puppet & Chef

Use Puppet and Chef to supercharge your compute management workflow.

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QUICKLY FIND AND DEBUG ISSUES

Google Cloud operations products provide powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Operations products

Unified monitoring, logging, and diagnostics for applications on Google Cloud and AWS.

Error Reporting

A walk through of getting an error alert and investigating the error in the Cloud Console.

Monitor, diagnose, and fix

In this video, Aja Hammerly uses Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Debugger, and Cloud Trace to find and fix some subtle errors in an example app.

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Tutorials

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RUBY ON GCP COMMUNITIES

Got something to say? Join our community to ask questions, or just chat with the experts at Google who help build Ruby for Google Cloud Platform.

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