フィードバックを送信 Cloud SQL for MySQL を使用してベクトル エンベディングを操作する 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。 このページでは、Cloud SQL を操作してベクトル エンベディングを使用するアプリケーションを構築する方法について説明します。 Cloud SQL for MySQL は、ベクトル エンベディングの保存をサポートしています。その後、ベクトル検索インデックスを作成し、Cloud SQL に保存する残りのデータとともに、これらのベクトル エンベディングに対して類似検索を実行できます。 ベクトル エンベディングの保存 Cloud SQL for MySQL を使用してベクトル エンベディングを保存するには、テーブルにベクトル エンベディング列を作成します。特別なベクトル エンベディング列は、VARBINA

※この投稿は米国時間 2024 年 1 月 27 日に、Google Cloud blog に投稿されたものの抄訳です。 Kubernetes でワークロードを実行しているなら、「コールド スタート」の経験がおありではないでしょうか。コールド スタートとは、ワークロードがまだホストされたことがない新しいノードにスケジュールされ、Pod をあらためてスピンアップする必要が生じ、アプリケーションの起動が遅れる現象を指します。起動に時間がかかると応答が遅くなり、ユーザー エクスペリエンスの悪化につながります。特に、アプリケーションがトラフィックの急増に対処するために自動スケーリングが行われるときに、この影響が顕著になります。 コールド スタートでは、何が起きているのでしょうか。コンテナ化されたアプリケーションを Kubernetes 上でデプロイするには、通常、コンテナ イメージの pull、コ

Join us at Google Cloud NextComing to Las Vegas, April 9–11. Register Today, we are announcing the general availability of Firestore Multiple Databases, which lets you manage multiple Firestore databases within a single Google Cloud project, enhancing data separation, security, resource management, and cost tracking. With this milestone, multiple databases are now fully supported in the Google Clo

Send feedback About replication in Cloud SQL Stay organized with collections Save and categorize content based on your preferences. Replication is the ability to create copies of a Cloud SQL instance or an on-premises database, and offload work to the copies. Introduction The primary reason for using replication is to scale the use of data in a database without degrading performance. Other reasons

Send feedback Configure database flags Stay organized with collections Save and categorize content based on your preferences. This page describes how to configure database flags for Cloud SQL, and lists the flags that you can set for your instance. You use database flags for many operations, including adjusting MySQL parameters, adjusting options, and configuring and tuning an instance. In some ca

Scalability testing on Google Kubernetes Engine: Know before you go Building large-scale systems can be challenging. Systems that are predictable and reliable on a smaller scale can become chaotic and uncontrollable when scaled up, revealing the limits of your design, exhibiting suboptimal performance, or even not working. To mitigate these effects, it’s important to test large-scale systems befor

Google Cloud Memorystore for Redis Best Practices - Tips for a highly performant and worry-free deployment Practices Tips for a Highly Performant and Worry-free Deployment Memorystore is a fully managed implementation of the open source in-memory databases Redis and Memcached. Memorystore makes it easy to build applications on Google Cloud to leverage in-memory stores based on open source Redis an

In today’s competitive environment, organizations need to quickly and easily make decisions based on real-time data. That’s why we’re announcing Datastream for BigQuery, now available in preview, featuring seamless replication from operational database sources such as AlloyDB for PostgreSQL, PostgreSQL, MySQL, and Oracle, directly into BigQuery, Google Cloud’s serverless data warehouse. Datastream

Abdelfettah SghiouarSenior Cloud Developer Advocate, Google Cloud In this article we'll explore the networking components of Google Kubernetes Engine (GKE) and the various options that exist. Kubernetes is an open source platform for managing containerized workloads and services and GKE is a fully managed environment for running Kubernetes on Google Cloud infrastructure. IP addressingVarious netwo

AlloyDB for PostgreSQL under the hood: Intelligent, database-aware storage Today, at Google I/O, we announced AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database for demanding, enterprise-grade transactional and analytical workloads. Imagine PostgreSQL plus the best of the cloud: elastic storage and compute, intelligent caching, and AI/ML-powered management. Further, AlloyDB de

Jeana JorgensenSenior Director, Google Cloud Product Marketing We love this time of year. This week is Google I/O, our largest developer conference, where developer communities from around the world come together to learn, catch up, and have fun. Google Cloud and Google Workspace had a big presence at the show, talking about our commitment to building intuitive and helpful developer experiences to

Introducing the Professional Cloud Database Engineer certification Today, we’re pleased to announce the new Professional Cloud Database Engineer certification, in beta, to help database engineers translate business and technical requirements into scalable and cost-effective database solutions. By participating in the beta, you will directly influence and enhance the learning and career path for ot