Docker provides an effective solution for deploying Prisme.ai in local or on-premise environments. This guide covers everything you need to quickly deploy and manage Prisme.ai using Docker Compose.

​
Prerequisites

Ensure your system meets the following prerequisites:

  • Docker (version 20.10+) and Docker Compose installed.
  • Minimum hardware: 4 vCPU, 16 GB RAM, 50 GB disk space recommended.
  • Git installed for cloning the repository.
  • DNS setup: Local wildcard DNS (*.pages.local.prisme.ai) pointed to Docker host machine.

​
Docker Environment Setup

Follow these steps to set up your local Docker environment for Prisme.ai:

1

Clone Repository

Clone the Prisme.ai repository from GitLab:

git clone https://gitlab.com/prisme.ai/prisme.ai.git
cd prisme.ai
2

Configure Environment Variables

Edit the .env file at the root of the project to configure your Docker environment:

Example .env configuration:

PAGES_HOST=.pages.local.prisme.ai:3100
CONSOLE_URL=http://studio.local.prisme.ai:3000
API_URL=http://api.local.prisme.ai:3001/v2
ACCOUNT_VALIDATION_METHOD=auto
UPLOADS_MAX_SIZE=100mb

Ensure DNS entries (studio.local.prisme.ai, api.local.prisme.ai) point to your Docker host IP.

3

Start Prisme.ai with Docker Compose

Launch Prisme.ai and its dependencies using Docker Compose:

docker-compose up -d

This command will start all necessary Prisme.ai microservices and databases (MongoDB, Redis, Elasticsearch).

4

Verify Deployment

Check running containers:

docker-compose ps

Verify logs for issues:

docker-compose logs -f
5

Access Prisme.ai Studio

Visit the URL defined in your .env file (e.g., http://studio.local.prisme.ai:3000) to access the Prisme.ai Studio.

​
Docker Best Practices

Resource Management

  • Monitor resource usage regularly.
  • Adjust container resource limits using Docker Compose configurations.

Persistent Storage

  • Ensure volumes are correctly configured for persistent storage.
  • Regularly back up Docker volumes.

Network Configuration

  • Utilize dedicated Docker networks for Prisme.ai.
  • Configure proper DNS records for easier access and testing.

Security Measures

  • Regularly update Docker and images.
  • Limit container privileges and exposure to the host system.

​
Common Commands & Troubleshooting

​
Next Steps

Helm Deployment

Explore deploying Prisme.ai using Helm

High Availability

Learn about ensuring high availability

Products Configuration

Configure your Prisme.ai AI products

Operations Management

Learn about scaling operations efficiently

Docker provides an effective solution for deploying Prisme.ai in local or on-premise environments. This guide covers everything you need to quickly deploy and manage Prisme.ai using Docker Compose.

​
Prerequisites

Ensure your system meets the following prerequisites:

  • Docker (version 20.10+) and Docker Compose installed.
  • Minimum hardware: 4 vCPU, 16 GB RAM, 50 GB disk space recommended.
  • Git installed for cloning the repository.
  • DNS setup: Local wildcard DNS (*.pages.local.prisme.ai) pointed to Docker host machine.

​
Docker Environment Setup

Follow these steps to set up your local Docker environment for Prisme.ai:

1

Clone Repository

Clone the Prisme.ai repository from GitLab:

git clone https://gitlab.com/prisme.ai/prisme.ai.git
cd prisme.ai
2

Configure Environment Variables

Edit the .env file at the root of the project to configure your Docker environment:

Example .env configuration:

PAGES_HOST=.pages.local.prisme.ai:3100
CONSOLE_URL=http://studio.local.prisme.ai:3000
API_URL=http://api.local.prisme.ai:3001/v2
ACCOUNT_VALIDATION_METHOD=auto
UPLOADS_MAX_SIZE=100mb

Ensure DNS entries (studio.local.prisme.ai, api.local.prisme.ai) point to your Docker host IP.

3

Start Prisme.ai with Docker Compose

Launch Prisme.ai and its dependencies using Docker Compose:

docker-compose up -d

This command will start all necessary Prisme.ai microservices and databases (MongoDB, Redis, Elasticsearch).

4

Verify Deployment

Check running containers:

docker-compose ps

Verify logs for issues:

docker-compose logs -f
5

Access Prisme.ai Studio

Visit the URL defined in your .env file (e.g., http://studio.local.prisme.ai:3000) to access the Prisme.ai Studio.

​
Docker Best Practices

Resource Management

  • Monitor resource usage regularly.
  • Adjust container resource limits using Docker Compose configurations.

Persistent Storage

  • Ensure volumes are correctly configured for persistent storage.
  • Regularly back up Docker volumes.

Network Configuration

  • Utilize dedicated Docker networks for Prisme.ai.
  • Configure proper DNS records for easier access and testing.

Security Measures

  • Regularly update Docker and images.
  • Limit container privileges and exposure to the host system.

​
Common Commands & Troubleshooting

​
Next Steps

Helm Deployment

Explore deploying Prisme.ai using Helm

High Availability

Learn about ensuring high availability

Products Configuration

Configure your Prisme.ai AI products

Operations Management

Learn about scaling operations efficiently