Capability

Cloud

Liferay Cloud Platform provides the infrastructure and tooling necessary to simplify, secure, and deliver applications on Liferay DXP when using the SaaS or PaaS deployment approaches. Using Liferay’s Cloud infrastructure provides a secure, reliable, and scalable platform for building Liferay solutions.

The Liferay Cloud Platform includes DevOps CI/CD tools, automated backups, real-time logs, and much more.

カテゴリ
カテゴリ
Liferay Cloud Consoleを使った変更のデプロイ
Liferay Cloud Consoleを使った変更のデプロイ このチュートリアルでは、Liferayサービスにポータル・プロパティを追加し、プル・リクエストでCIビルドをトリガーし、Liferay Cloudコンソールを介して dev 環境に新しいビルドをデプロイするプロセスを説明します。 ...
配布タイプについて
配布タイプについて サービスのデプロイメント タイプによって、パフォーマンス、メモリ使用量、ファイルやボリュームへのアクセスなど、サービスの機能に関するさまざまな側面が決まります。 Liferay Cloud はサービスに2つのデプロイメントタイプを提供します:DeploymentとStatefulSet です。 配備タイプの違い デプロイメント タイプの特徴は以下の通り: ...
ファイルとフォルダを無視する
ファイルとフォルダを無視する Liferay Cloud では、サービスをデプロイする前に、どのファイルやフォルダーを無視するかを契約者が決定することができます。 これは、 .lcpignore ファイルを作成し、プロジェクトフォルダーの最上位レベル内に配置することで行われます(例: / etc/lfrlearn / ここで、 lfrlearn はプロジェクト名です)。...
Liferay Helm Values Reference
Liferay Helm Values Reference Helm is configured in YAML. Below are descriptions of the Liferay default Helm chart values. affinity: {} # Set Liferay DXP StatefulSet spec...
Running Liferay DXP in Amazon Web Services
Running Liferay DXP in Amazon Web Services There are three ways to host Liferay DXP in AWS: Installing Liferay DXP using the plain Helm chart. Installing Liferay DXP from AWS Marketplace. ...
AWS Managed Resources Reference
AWS Managed Resources Reference By default, Liferay uses several managed services to run background operations when hosting in AWS. These resources facilitate the provisioning and continued use of...
Auto-Scaling in AWS
Auto-Scaling in AWS Liferay's auto-scaling feature automatically creates and destroys replicas (nodes) in the Liferay cluster to optimize performance. You can choose the minimum and maximum number...
Configuring Externally Managed Services
Configuring Externally Managed Services Externally managed services are created, configured, and managed outside the Liferay Helm chart. Database Configuring an external database for Liferay in...
Configuring Internally Managed Services
Configuring Internally Managed Services Internally managed services are configured and managed within the chart. These services are defined using the dependencies property: dependencies: : ...
Making Liferay Public in AWS
Making Liferay Public in AWS Now that you have Liferay installed, all that's left is to make it publicly available and then configure HTTPS for secure communication. Install the nginx Ingress...
Configuring Liferay in AWS
Configuring Liferay in AWS Since Liferay installations hosted in AWS use Helm, you must configure and customize Liferay using the Helm CLI. You can write as many .yaml files as you need. To update...
Using GovCloud to run Liferay in AWS
Using GovCloud to run Liferay in AWS Government entities can use GovCloud to provision Liferay in AWS. Subscribe to Liferay DXP Visit the AWS Marketplace. In Discover Products, find Liferay...
Using Marketplace Artifacts to Run Liferay in AWS
Using Marketplace Artifacts to Run Liferay in AWS You can use AWS Marketplace artifacts to provision Liferay in AWS. Prerequisite Oras CLI (optional) Launch Liferay Set and export environment...
Running Liferay on any Kubernetes Cluster
Running Liferay on any Kubernetes Cluster These instructions are purposefully generic. They install a cluster that works on any Kubernetes implementation, but additional work is needed to make that...
Liferay Cloud Native Provisioning
Liferay Cloud Native Provisioning Liferay's cloud native experience is a Kubernetes-based Helm chart for portable deployment of Liferay instances to any cloud with a Kubernetes engine. This...
Using the AWS Chart to Run Liferay in AWS
Using the AWS Chart to Run Liferay in AWS Using the AWS chart is a CLI-only method for provisioning Liferay in AWS. Launch Liferay Set and export an environment variable to hold the Liferay AWS...
Viewing Metrics from Kubernetes
Viewing Metrics from Kubernetes It is important to track resource usage in the Kubernetes cluster. To view your resource usage, you must use a collector and an exporter. Before you can view...