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プロジェクトの役割と権限
Project Roles and Permissions [Release Feature](../../../dxp/latest/en/security-and-administration/administration/configuring-liferay/feature-flags.md#release-feature-flags) (LPD-58677) Liferay DXP...
データソース
Data Sources Add an external website as a data source so agents can answer from that site's content. Without it, an agent only knows what's in its model and the content you give it directly. AI Hub...
AI Hubで画像を生成する
Generating Images with AI Hub Generate Image is an AI Hub agent that creates images from a description you write in Liferay CMS. It runs inside the AI Assistant, and you can start it from the Files...
AIアシスタントを使用する
Using the AI Assistant The AI Assistant is a chat agent in Liferay CMS that helps you generate, refine, and translate content inside the editor. It works as a supervisor, coordinating the agents...
コンテンツギャップ分析
Content Gap Analysis [Release Feature](../../../dxp/latest/en/security-and-administration/administration/configuring-liferay/feature-flags.md#release-feature-flags) (LPD-58677) Liferay DXP 2026.Q3+...
ペルソナとファネルステージ
Personas and Funnel Stages [Release Feature](../../../dxp/latest/en/security-and-administration/administration/configuring-liferay/feature-flags.md#release-feature-flags) (LPD-58677) Liferay DXP...
デジタル販売室の有効化
Activating Digital Sales Room Liferay DXP 2026.Q3+ Use the Digital Sales Room (DSR) to create centralized collaboration hubs for buyers. Before you can manage rooms and track engagement, you must...
Liferay Cloudでのクラスタリングのセットアップ
Setting Up Clustering in Liferay Cloud This article outlines the steps necessary to configure clustering for your Liferay DXP instance in Liferay PaaS. Contents: Enable the Clustering...
Liferayサービス環境変数
Liferay Service Environment Variables The Liferay service has a range of environment variables that are used to configure the service, its connection to other services, and the DXP installation...
Liferayサービスへのデプロイ
Deploying to the Liferay Service As with other services, deploying custom additions involves adding your configurations or files to the appropriate locations in your Git repository. However,...
DXPインスタンスを新しいマイナーバージョンにアップデートする
Updating Your DXP Instance to a New Minor Version Regularly updating your Liferay DXP installation is an important part of maintaining your Liferay PaaS environment. Use the available tags on the...
Liferay DXPインスタンスのアップグレード
Upgrading Your Liferay DXP Instance Every three months, Liferay releases a new quarterly release version of Liferay DXP that includes security and bug fixes, as well as enhancements. To upgrade to...
Azureリポジトリの構成
Configuring Your Azure Repository Your Liferay Cloud onboarding email contains a link to a GitHub repository hosted in the dxpcloud organization. This repository is a template for a team's private...
GitHubリポジトリの設定
Configuring Your GitHub Repository Your Liferay Cloud onboarding email contains a link to a GitHub repository hosted in the dxpcloud organization. This repository is a template for a team's...
GitHubリポジトリの設定
Configuring Your GitLab Repository Your Liferay Cloud onboarding email contains a link to a GitHub repository hosted in the dxpcloud organization. This repository is a template for a team's private...
はじめに
Getting Started Getting started with Liferay Cloud (SaaS or PaaS) involves ensuring all accounts, environments, and services have been successfully provisioned and deployed in your instance. Begin...
切り替えプロセスと責任
Switching Process and Responsibilities Switch from Liferay Cloud to another environment and retrieve your data using the process, timelines, and responsibilities defined below. This process...
Liferay Cloudからデータをエクスポートする
Exporting Your Data from Liferay Cloud Retrieve data from Liferay Cloud using the export methods available for your service and configuration. Liferay provides multiple export methods, including...
データポータビリティとスイッチング
Data Portability and Switching You can export your data and switch from Liferay Cloud to another environment during your subscription. This section provides an overview of switching and links to...
Bitbucket リポジトリの設定
Configuring Your Bitbucket Repository Your Liferay Cloud onboarding email contains a link to a GitHub repository hosted in the dxpcloud organization. This repository is a template for a team's...
開発要件
Development Requirements Before beginning deployment in Liferay PaaS, developers planning to create modules should install the required tools. There are various development tools and frameworks...
Liferay SaaS 稼働開始チェックリスト
Liferay SaaS Go-Live Checklist Liferay Cloud is committed to your project's smooth launch. Here is a list of steps you should take to prepare in advance for your production environment to go live. ...
Liferay PaaS 導入チェックリスト
Liferay PaaS Go-Live Checklist Liferay Cloud is committed to your project's smooth launch. This go-live checklist should help you catch potential issues in advance and optimize your Cloud...
Liferay Cloudサービスへのログイン
Logging into Your Liferay Cloud Services By default, you must log in to access the web interfaces for the Liferay and Infrastructure services on any non-production environment (e.g., uat)....
Liferay PaaS の経験
Liferay PaaS Experience Liferay PaaS Experience is Liferay's managed cloud-native platform for deploying and operating Liferay DXP environments. Unlike Liferay PaaS, which centers around the...
Liferay PaaS体験:オートスケーリング
Liferay PaaS Experience: Auto-Scaling Configure auto-scaling by editing Helm values in your GitOps repository. This is typically a developer or platform administrator's task rather than a general...
Liferay PaaS 体験:ビルドとデプロイ
Liferay PaaS Experience: Builds and Deployment In Liferay PaaS Experience, customizations are delivered as overlays rather than as custom Liferay container images. An overlay is a set of artifacts...
Liferay PaaS 体験談:メトリクス
Liferay PaaS Experience: Metrics Grafana is the metrics interface for Liferay PaaS Experience environments. Liferay provisions and manages the full metrics stack: Google Managed Prometheus (GMP)...
Liferay Cloud環境について
Understanding Liferay Cloud Environments A Liferay Cloud project can have multiple environments, each for a different purpose (e.g., development, staging, production, etc.). Each environment has a...
Liferay PaaS体験:アラート
Liferay PaaS Experience: Alerts Grafana manages alerting for Liferay PaaS Experience environments. Liferay provisions a set of default alert rules that monitor the health of your environment and...
Liferay PaaS体験:バックアップとリストア
Liferay PaaS Experience: Backup and Restore Backups in Liferay PaaS Experience capture two components of each environment's state: the CloudSQL database (via a database snapshot) and the document...
Liferay PaaS体験:ログ
Liferay PaaS Experience: Logs Liferay manages the log collection and storage infrastructure. The Liferay container writes logs to standard output and error streams, and the platform forwards them...
Liferay PaaS体験:シークレットの管理
Liferay PaaS Experience: Managing Secrets You manage secrets for your Liferay PaaS environments entirely through Argo CD, with no GCP account, IAM configuration, or gcloud access required. The...
Liferay PaaS 体験:ユーザー管理
Liferay PaaS Experience: User Management Liferay PaaS Experience has no invite flow inside Argo CD, Argo Workflows, or Grafana themselves. Instead, you grant access to those tools from Customer...
アプリケーションメトリクス
Application Metrics With Liferay Cloud's built-in monitoring, you can track resources used by each environment service. These application metrics include memory and CPU usage, as well as network...
管理と最適化
Manage and Optimize Liferay Cloud offers numerous tools to help you efficiently manage your projects. Resource Management The Liferay Cloud dashboard has built-in tools to help you track and...
環境のチームとロール
Environment Teams and Roles Administrators can manage team members and roles in each project environment using the Liferay Cloud Console. Each environment can have unique members, and each member...
環境自動一時停止によるリソースの最適化
Optimizing Resources with Environment Auto-Pause The Cloud platform monitors environment activity to detect idle periods. During inactivity, it scales down non-production environments (i.e, UAT and...
説明書とガードレール
Instructions and Guardrails Instructions and guardrails are the governance layer of AI Hub. Instructions shape how agents respond, adding reusable guidance for tone, brand voice, or policy to every...
AI Hubの活動を監視する
Monitoring AI Hub Activity AI Hub records the activity in each account: each agent run and how it ended, each time a guardrail blocks content, each retrieval from a data source, and each change to...

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