Send feedback Stay organized with collections Save and categorize content based on your preferences. Introduction to AI and ML in BigQuery BigQuery ML lets you create and run machine learning (ML) models by using GoogleSQL queries. It also lets you access Vertex AI models and Cloud AI APIs to perform artificial intelligence (AI) tasks like text generation or machine translation. Gemini for Google

Fully managed in-memory Redis and Memcached service that offers sub millisecond data access, scalability, and high availability for a wide range of applications. Redis is a trademark of Redis Ltd. Memorystore is based on open-source Redis versions 7.2 and earlier.*

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Google はこのほど、『How to Lift-and-Shift a Line of Business Application onto Google Cloud Platform』（一連の業務アプリケーションをリフト＆シフトで Google Cloud Platform に移行する方法）というタイトルのホワイトペーパーを公開しました。これは、アプリケーションの移行と刷新をテーマとする 4 本のホワイトペーパー シリーズの第 1 弾です。第 2 弾は数週間以内に公開予定で、その際はこのブログでお知らせします。 今回のホワイトペーパーでは、現在自社データセンターのオンプレミス サーバーに置かれている経費報告書作成用のウェブ アプリケーション（Microsoft Windows ベースで 2 ティア）を、Google Cloud Platform（GCP）に移行するプロセスを細かく説明し

Send feedback Application Layer Transport Security Stay organized with collections Save and categorize content based on your preferences. The content contained herein is correct as of December 2017. This whitepaper represents the status quo as of the time it was written. Google Cloud's security policies and systems might change going forward, as we continually improve protection for our customers.

In Google Kubernetes Engine (GKE), you configure a cluster's configuration and characteristics using Google Cloud tools and APIs, including the Google Cloud CLI and the Google Cloud console. These tasks include creating, updating, and deleting clusters, adding or removing nodes, and controlling who can access the cluster using Identity and Access Management (IAM). To control the cluster's internal

This page explains how Google Kubernetes Engine (GKE) automatically resizes your Standard cluster's node pools based on the demands of your workloads. When demand is high, the cluster autoscaler adds nodes to the node pool. To learn how to configure cluster autoscaler, see Autoscaling a cluster. With Autopilot clusters, you don't need to worry about provisioning nodes or managing node pools becaus

Try Google CloudStart building on Google Cloud with $300 in free credits and 20+ always free products. Free Trial When Google BigQuery launched in 2012, it introduced several novel service designs: a fully managed “serverless” operational model, rapidly scalable and multi-tenant compute, pay-per-job pricing, in-place data sharing, and perhaps most significantly: separation of storage a

Send feedback ImageMagick Tutorial (2nd gen) Stay organized with collections Save and categorize content based on your preferences. This tutorial demonstrates using Cloud Functions, the Google Cloud Vision API, and ImageMagick to detect and blur offensive images that get uploaded to a Cloud Storage bucket. Objectives Deploy a storage-triggered CloudEvent function. Use the Cloud Vision API to detec

Accelerate your digital transformation Whether your business is early in its journey or well on its way to digital transformation, Google Cloud can help solve your toughest challenges.

Try Google CloudStart building on Google Cloud with $300 in free credits and 20+ always free products. Free Trial Google has long history of making patent data universally accessible and useful, starting more than 10 years ago by scanning old US patents into Google Patents. Today, Google is launching Google Patents Public Datasets on BigQuery, with a collection of publicly accessible, connected da

Send feedback How Application Default Credentials works Stay organized with collections Save and categorize content based on your preferences. This page describes the locations where Application Default Credentials (ADC) looks for credentials. Understanding how ADC works can help you understand which credentials ADC is using, and how it's finding them. Application Default Credentials (ADC) is a st

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Features Customizable infrastructure - App Engine flexible environment instances are Compute Engine virtual machines, which means that you can take advantage of custom libraries, use SSH for debugging, and deploy your own Docker containers. Performance options - Take advantage of a wide array of CPU and memory configurations. You can specify how much CPU and memory each instance of your applicatio

Send feedback Migration journey with Migrate to Virtual Machines Stay organized with collections Save and categorize content based on your preferences. This document guides you through migrating your virtual machines (VMs) from your source environment to Google Cloud by using Migrate to Virtual Machines. Your source environment might be running in an on-premises environment, in a private hosting e