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Prisme.ai Self-Hosting Overview
Prisme.ai offers robust self-hosting options designed for enterprises that require full control over their infrastructure, security, and data privacy. Deploying the platform within your own environment is what makes Prisme.ai a cloud-agnostic foundation you actually own, the same unified platform described in the Platform Overview, running on your infrastructure.
This is the infrastructure view of Prisme.ai. For the conceptual architecture (the three tiers, event-driven design, and governance model), see the Platform Overview.

Which model is for me?

SaaS managed by Prisme.ai

Shared or dedicated managed service hosted and operated by Prisme.ai. The fastest way to start, no infrastructure to run.

Self-hosted or co-managed

Deploy on your cloud of choice, AWS, GCP, Azure, OVHcloud, or any managed Kubernetes, for full data sovereignty and control. The rest of this section covers this path.

Why Choose Self-Hosting?

Choosing self-hosting provides your organization with:
  • Data Sovereignty: Keep your sensitive data within your control.
  • Security Compliance: Meet industry-specific security and compliance requirements.
  • Customization and Integration: Fully customize and integrate Prisme.ai into your existing workflows and systems.
  • Cost Efficiency: Optimize resource allocation and management.

Deployment Options

Prisme.ai supports various deployment scenarios to suit your organization’s infrastructure strategy:
  • Cloud-Agnostic Deployment: Compatible with AWS, Azure, Google Cloud, and private cloud providers.
  • Kubernetes-native: Deployed via Helm charts on any conformant Kubernetes cluster.
  • High Availability: Designed for redundancy and resilience.
  • Scalability: Easily scale horizontally and vertically based on workload.

Supported Environments

Prisme.ai self-hosting runs on any Kubernetes 1.26+ cluster, including:
  • Cloud provider-managed services like EKS, AKS, GKE, OVHcloud Managed Kubernetes.
  • OpenShift.
  • Self-managed Kubernetes on bare metal or VMs.

Platform microservices

Prisme.ai is deployed as two Helm releases, each in its own Kubernetes namespace.

core namespace

Always required. Handles authentication, workspace storage, automation execution and the user-facing console.

apps namespace

Optional services that extend the platform with custom code, web crawling and search. See Install with Helm for how each service is configured and wired to the databases.

Next Steps

Installation Overview

Five-step install flow, from cloud provisioning to operations.

Requirements

Infrastructure prerequisites, sizing baseline, networking.

Install with Helm

Unified Helm install reference for core and apps namespaces.

Databases

PostgreSQL or MongoDB, Redis, Elasticsearch or OpenSearch.

Production Readiness

Requirements, responsibilities, and the go/no-go checklist before production.
Need detailed architecture diagrams (draw.io) tailored to your deployment? Contact support@prisme.ai.