Mage AI home page
Omniscience... ✨
⌘K
Adventure starts here
Mage Pro
Deployment architecture
Overview
SaaS
Hybrid Cloud
Private Cloud
On-prem
Getting started
Cluster Management
API
Install dependencies
Workspaces
Build a pipeline
Trigger a pipeline
CI/CD
Overview
CI/CD workflow
Git terminal
File versioning
Version control guide
Pro only features
AI
Blocks
Data integrations
Developer experience
Infrastructure
Compute
Storage
Migration guides
Airbyte to Mage Pro
Airflow to Mage Pro
dbt to Mage Pro
Global hooks
Overview
Setup
Mage Pro API
Overview
POST
Create Deployment
GitHub
Community
Mage Pro
Get a demo
Mage AI home page
Omniscience... ✨
⌘K
GitHub
Community
Mage Pro
Get a demo
Get a demo
Search...
Navigation
Deployment architecture
Private cloud deployment
Mage Pro
Documentation
Development
Production
AI
Observability
Integrations
Extensibility
Mage Pro
Documentation
Development
Production
AI
Observability
Integrations
Extensibility
Deployment architecture
Private cloud deployment
Deploy securely in your private cloud environment
Private cloud deployments allow developers to have complete architectural control over the control plane and the data plane. The entire Mage Pro platform will run on your cloud environment.
Technical Specifications
Deployment Platform
: Kubernetes (AKS, EKS, GKE) or OpenShift
Installation Method
: Helm charts or operator-based deployment
Resource Requirements
:
Minimum 2 vCPUs and 8GB RAM for control plane services
Elastic resources for data plane based on workload
Persistent storage for metadata and logs
Networking
: Internal service mesh for component communication
Monitoring
: Prometheus-compatible metrics endpoints
Backup
: Automated database backup with configurable retention
Integration Requirements
Kubernetes cluster with admin access for service deployment
Persistent volume provisioning capability
Load balancer or ingress controller for web UI access
Container registry access for system images
Was this page helpful?
Yes
No
Suggest edits
Raise issue
Previous
On-prem
Deploy securely from your own on-prem servers
Next
On this page
Technical Specifications
Integration Requirements
Assistant
Responses are generated using AI and may contain mistakes.