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Run and Scale Liferay DXP in Your Own Cloud

Deploy Liferay DXP to AWS, Azure, or Google Cloud easily and take full advantage of your existing cloud infrastructure.

Better Digital Experiences on Your Cloud with Cloud-Native Tools

Use Liferay DXP in your preferred cloud.

Run Liferay DXP in your own cloud, like AWS, Azure, or Google Cloud, without much heavy lifting. 
  • Set Liferay DXP up faster. Spin up Liferay DXP on AWS, Azure, and GCP Marketplace in minutes, not weeks. 
  • Reduce setup errors. Use proven Terraform blueprints and Helm charts to minimize setup errors.
  • Automatic licensing. Instead of manually redeploying license keys to your cluster, licensing automatically aligns with your entitlements. 

Launch faster with fewer risks.

Focus on your business outcomes instead of infrastructure setup. Liferay's Cloud-Native Tools automate complex tasks to reduce human error with: 
  • Ready-to-use Helm Charts. Manage deployment automation with pre-configured Helm Charts on AWS EKS, Azure AKS, and GCP GKE to accelerate time to market for new environments and features. 
  • Cloud-managed services. No need to configure databases, search, or storage manually. Choose and integrate with cloud-managed services such as RDS, OpenSearch, Azure SQL, and Redis, rather than bundled services. 

Roll out changes safely and repeatably.

Make alterations without affecting users, reducing the time-to-change and change failure rate. 
  • Simplify releases and updates. Ensure releases can be executed with one reversible command using GitOps-native flows.
  • Minimize errors. Catch sizing or security issues before they hit production with preflight validators.
  • Stabilize upgrades. Keep the user experience stable during upgrades with blue/green and canary options. Additionally, you can protect uptime with zero-downtime upgrades that have prechecks and safe rollbacks.
  • Restore the database.  Ensure data protection and operation resilience to meet RTO and RPO standards with coordinated backup and restoration across the database, index, and files.
  • Support from the Liferay team. Liferay will provide one-click diagnostic bundles to shorten support interactions when you need help.

Operate with clarity, not guesswork.

Gain insight into your solutions using native dashboards and the ability to connect with your own cloud tools. 
  • Monitor performance. Use out-of-the-box dashboards and alerts tuned for Liferay DXP to track index health, sessions, latency, jobs, and more.
  • Support autoscaling. Liferay DXP's autoscaling is tied to real workload signals, not just CPU/memory, to keep costs in check.
  • Connect with monitoring and logs tools. Integrate directly with your cloud’s logging, monitoring, and backup tools. Maintain audit logs to track changes and support compliance requirements during releases and upgrades.

What Are Cloud-Native Tools?

Cloud-native technologies empower organizations to build and run scalable applications in public, private, or hybrid clouds, according to the Cloud Native Computing Foundation. 

 

For reasons including existing commitments, compliance regulations, and internal expertise, organizations may prefer to deploy their applications in public cloud or other IaaS providers, rather than leverage a PaaS or SaaS solution. 

 

Doing so, however, requires organizations to configure their own infrastructure, networking, scaling policies, backups, and licensing manually. This ultimately increases time-to-value and total cost of ownership, while creating inconsistent deployments, security gaps, and the need for manual interventions when scaling or upgrading environments.

 

To combat these challenges, organizations can use kubernetes-native tooling. These tools make deployment, management, and scaling effortless in your own cloud through: 

 

  • Terraform (Infrastructure-as-Code). This automates the provisioning of cloud resources (VMs, networking, databases) using declarative configurations, ensuring consistent and repeatable deployments. 
  • Helm Charts (Kubernetes Application Management). These package and deploy applications in pre-configured files and templates. 
  • Kubernetes Operator. The Operator extends Kubernetes capabilities by automating scaling and self-healing, reducing manual intervention. 

With these tools, provisioning and deployments can happen faster and more frequently without impacting service delivery and minimizing operational risk. 

 

Liferay’s Cloud-Native Tools make it easier for you to manage Liferay DXP in your own cloud—so that you can focus on your business, not infrastructure setup. 

Frequently-Asked Questions

No. Liferay Cloud-Native Tooling is a set of open-source tools that allows customers to easily deploy, scale, and manage Liferay DXP within their own cloud infrastructure. 
We follow a pay-per-use model instead of fixed instance-based licensing for Liferay Cloud-Native Tooling. This gives you greater flexibility to scale dynamically and simplify license management.
Cloud-Native Tooling is built for stability and growth. Autoscaling adjusts to real workload signals (not just CPU or memory) to keep costs under control, while release automation and upgrade options like blue/green and canary ensure changes roll out safely with zero downtime. You also get coordinated backups and one-click diagnostic bundles to simplify support.
Cloud-Native Tooling helps you spin up Liferay DXP on AWS, Azure, or Google Cloud in minutes using Terraform blueprints and Helm charts. These pre-configured tools reduce setup errors and automatically align licensing with your entitlements, so you spend less time on infrastructure and more time delivering value.

See how Liferay DXP works in your cloud.

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