> ## Documentation Index
> Fetch the complete documentation index at: https://missingstudio-fix-release.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Docker Setup

> How to install and run **AI Studio** via Docker

The easiest and quickest way to run AI Studio is via [docker-compose](https://docs.docker.com/compose/).

<Steps>
  <Step title="Create `docker-compose.yml`">
    ```yaml docker-compose.yml
      version: '3.8'

      services:
        postgres:
          image: postgres:13
          environment:
            - POSTGRES_DB=aistudio
            - POSTGRES_USER=aistudio
            - POSTGRES_HOST_AUTH_METHOD=trust
          volumes:
            - postgres:/var/lib/postgresql/data
          ports:
            - 5432:5432
          healthcheck:
            test: [ "CMD-SHELL", "pg_isready -U aistudio" ]
            interval: 30s
            timeout: 30s
            retries: 3
          restart: always

        redis:
          image: redis:7.2-alpine
          ports:
            - 6379:6379
          command: redis-server --save 20 1 --loglevel warning
          volumes:
            - redis:/data
          healthcheck:
            test: ["CMD", "redis-cli", "ping"]
            interval: 1s
            timeout: 3s
            retries: 30
          restart: always

        clickhouse:
          image: clickhouse/clickhouse-server:24.1.5
          volumes:
            - clickhouse:/var/lib/clickhouse
          ports:
            - 9000:9000
            - 8123:8123
          restart: always

        migrate:
          image: missingstudio/ai:dev
          command: ["migrate"]
          environment:
            - GATEWAY_POSTGRES_URL=postgres://aistudio@postgres:5432/aistudio?sslmode=disable
          depends_on:
            - postgres

        aistudio:
          image: missingstudio/ai:dev
          environment:
            - GATEWAY_APP_HOST=0.0.0.0
            - GATEWAY_APP_PORT=8080
            - GATEWAY_REDIS_HOST=redis
            - GATEWAY_REDIS_PORT=6379
            - GATEWAY_POSTGRES_URL=postgres://aistudio@postgres:5432/aistudio?sslmode=disable
          command: ["start"]
          ports:
            - 8080:8080
          depends_on:
            - redis
            - postgres
            - clickhouse
            - migrate

      volumes:
        redis: {}
        postgres: {}
        clickhouse: {}
    ```
  </Step>

  <Step title="Start Docker Compose">
    ```shell
       docker-compose up -d
    ```
  </Step>
</Steps>

**You're geared up and ready to go! 🚀**

Following these steps should have you AI studio up and running to power up LLMOps for your LLM appplications.
If you have any questions or need support, reach out to our [Discord Community](https://discord.gg/yxV58ydzV7).

## Other options

<CardGroup cols={2}>
  <Card href="/introduction/local-installation/" title="Command Line Interface (CLI)" icon="square-terminal" color="#FFC414">
    Install AI Studio locally into your developer machine or bare metal setup
    via CLI (MacOS, Linux)
  </Card>

  <Card
    title={
   <>
     Kubernetes{" "}
     <span
       style={{ fontSize: "10px", color: "green", display: "flex-inline" }}
     >
       (coming soon)
     </span>{" "}
   </>
  }
    icon="cloud"
    color="#00CCB1"
  >
    Install AI Studio into a Kubernetes cluster using helm chart
  </Card>
</CardGroup>