* この投稿は米国時間 3 月 27 日、株式会社リクルートテクノロジーズ の データAI戦略統括部で エンジニア を務める 松﨑 遥 氏と、Google の Cloud Customer Engineer である 寳野 雄太 によって投稿されたもの（投稿はこちら）の抄訳です。 編集部注 : 今回は、東京に本拠を置くリクルートテクノロジーズの投稿をお届けします。電子メール マーケティング プラットフォームを GCP 上に構築している同社は、最近そのデータベースを Cloud Spanner に移行しました。コスト削減や運用要件への対応に加え、従来の HBase ベースのデータベース システムよりも高い可用性が得られることが目的です。また、Cloud Spanner を使用することで、データをあらかじめ転送することなく、リアルタイムに指標（KPI）を算出することを可能にしました。この投稿を読

Customizing Stackdriver Logs for Container Engine with Fluentd Many Google Cloud Platform (GCP) users are now migrating production workloads to Container Engine, our managed Kubernetes environment.  Container Engine supports Stackdriver logging on GCP by default, which uses Fluentd under the hood to send your logs to Stackdriver. You may also want to fully customize your Container Engine cluster’s

Grant TimmermanDeveloper Programs Engineer, G Suite Last fall, we launched the Google Slides API. Since then, partners, developers and others have been building apps and tools to programmatically create slides that work across desktop and mobile, like the ever popular md2googleslides. We recently released the Slides API Codelab, which walks you through an example of using Google’s BigQuery and Sli

Cloud Machine Learning Engine is a managed service that enables you to easily build machine learning models that work on any type of data, of any size. And one of its most powerful capabilities is HyperTune, which is hyperparameter tuning as a service using Google Vizier. Hyperparameter tuning is a well known concept in machine learning and one of the cornerstones of

Try Google CloudStart building on Google Cloud with $300 in free credits and 20+ always free products. Free Trial AXA, the large global insurance company, has used machine learning in a POC to optimize pricing by predicting “large-loss” traffic accidents with 78% accuracy. ">AXA, the large global insurance company, has used machine learning in a POC to optimize pricing by predicting “l

フィードバックを送信 外部アプリケーション ロードバランサの概要 コレクションでコンテンツを整理 必要に応じて、コンテンツの保存と分類を行います。 このドキュメントでは、外部アプリケーション ロードバランサの構成方法を理解するために必要なコンセプトについて説明します。 外部アプリケーション ロードバランサは、プロキシベースのレイヤ 7 ロードバランサで、これを使用すると単一の外部 IP アドレスの背後でサービスを実行し、スケーリングできるようになります。外部アプリケーション ロードバランサは、さまざまな Google Cloud プラットフォーム（Compute Engine、Google Kubernetes Engine（GKE）、Cloud Storage など）でホストされているバックエンドや、インターネットまたはハイブリッド接続を介して接続された外部バックエンドに、HTTP /

Introducing Cloud Spanner: A global database service for mission-critical applications Today, we’re excited to announce the public beta for Cloud Spanner, a globally distributed relational database service that lets customers have their cake and eat it too: ACID transactions and SQL semantics, without giving up horizontal scaling and high availability. When building cloud applications, database ad

デジタル トランスフォーメーションを加速 お客様がデジタル トランスフォーメーションに乗り出したばかりでも、あるいはすでに進めている場合でも、Google Cloud は困難な課題の解決を支援します。

Send feedback Configure your clusters to use OpenStack Stay organized with collections Save and categorize content based on your preferences. Google Distributed Cloud supports using OpenStack as a private cloud platform. This guide describes how to configure a Google Distributed Cloud cluster to work with an external cloud provider. Running Google Distributed Cloud clusters on OpenStack allows you

Send feedback Google infrastructure security design overview Stay organized with collections Save and categorize content based on your preferences. This content was last updated in June 2024, and represents the status quo as of the time it was written. Google's security policies and systems may change going forward, as we continually improve protection for our customers. Download pdf version Intro

Throughout my career as an engineer, I’ve had a hand in numerous product launches that grew to millions of users. User adoption typically happens gradually over several months, with new features and architectural changes scheduled over relatively long periods of time. Never have I taken part in anything close to the growth that Google Cloud customer Niantic experienced with the launch of Pokémon G

Learn to build a mobile backend service with Firebase and App Engine At Google I/O 2016, we launched a significant new release of Firebase that consolidates several of Google’s mobile offerings into a single product. The new Firebase reduces the complexity of building mobile client and backend services and provides tools to help you grow your user base, earn revenue from your app and collect and a

Google shares software network load balancer design powering GCP networking At NSDI ‘16, we're revealing the details of Maglev1, our software network load balancer that enables Google Compute Engine load balancing to serve a million requests per second with no pre-warming. Google has a long history of building our own networking gear, and perhaps unsurprisingly, we build our own network load balan