[Docs] Add Docker protip and Docker Compose example

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docs/docs/guides/protips.md

@@ -97,6 +97,76 @@ This allows you to access the remote `8501` port on `localhost:8501` while the C
 production-grade service deployment not offered by tasks, such as HTTPS domains and auto-scaling.
 If you run a web app as a task and it works, go ahead and run it as a service.
 
+## Docker and Docker Compose
+
+All backends except `runpod`, `vastai` and `kubernetes` allow to use Docker and Docker Compose 
+inside `dstack` runs. To do that, additional configuration steps are required:
+
+1. Set the `privileged` property to `true`.
+2. Set the `image` property to `dstackai/dind` (or another DinD image).
+3. For tasks and services, add `start-dockerd` as the first command. For dev environments, add `start-dockerd` as the first comand
+   in the `init` property.
+Note, `start-dockerd` is a part of `dstackai/dind` image, if you use a different DinD image,
+replace it with a corresponding command to start Docker daemon.
+
+=== "Task"
+    <div editor-title="examples/misc/dind/task.dstack.yml">
+
+    ```yaml
+    type: task
+    name: task-dind
+
+    privileged: true
+    image: dstackai/dind
+
+    commands:
+      - start-dockerd
+      - docker compose up
+    ```
+
+    </div>
+
+=== "Dev environment"
+    <div editor-title="examples/misc/dind/.dstack.yml">
+
+    ```yaml
+    type: dev-environment
+    name: vscode-dind
+
+    privileged: true
+    image: dstackai/dind
+
+    ide: vscode
+
+    init:
+      - start-dockerd
+    ```
+
+    </div>
+
+??? info "Volumes"
+
+    To persist Docker data between runs (e.g. images, containers, volumes, etc), create a `dstack` [volume](../concepts/volumes.md)
+    and add attach it in your run configuration:
+
+    ```yaml
+        type: dev-environment
+        name: vscode-dind
+
+        privileged: true
+        image: dstackai/dind
+        ide: vscode
+
+        init:
+          - start-dockerd
+
+        volumes:
+          - name: docker-volume
+            path: /var/lib/docker
+    ```
+
+See more Docker examples [here](https://github.com/dstackai/dstack/tree/master/examples/misc/docker-compose).
+
 ## Environment variables
 
 If a configuration requires an environment variable that you don't want to hardcode in the YAML, you can define it

docs/docs/reference/dstack.yml/dev-environment.md

@@ -46,7 +46,9 @@ ide: vscode
     ide: vscode
     ```
 
-### Docker image
+### Docker
+
+If you want, you can specify your own Docker image via `image`.
 
 <div editor-title=".dstack.yml"> 
 
@@ -82,6 +84,10 @@ ide: vscode
     ide: vscode
     ```
 
+!!! info "Docker and Docker Compose"
+    All backends except `runpod`, `vastai` and `kubernetes` also allow to use [Docker and Docker Compose](../../guides/protips.md#docker-and-docker-compose) 
+    inside `dstack` runs.
+
 ### Resources { #_resources }
 
 If you specify memory size, you can either specify an explicit size (e.g. `24GB`) or a 

docs/docs/reference/dstack.yml/service.md

@@ -58,7 +58,9 @@ port: 8000
 
     </div>
 
-### Docker image
+### Docker
+
+If you want, you can specify your own Docker image via `image`.
 
 <div editor-title="service.dstack.yml">
 
@@ -102,6 +104,10 @@ port: 8000
     port: 8000
     ```
 
+!!! info "Docker and Docker Compose"
+    All backends except `runpod`, `vastai` and `kubernetes` also allow to use [Docker and Docker Compose](../../guides/protips.md#docker-and-docker-compose) 
+    inside `dstack` runs.
+
 ### Model gateway { #model-mapping }
 
 By default, if you run a service, its endpoint is accessible at `https://<run name>.<gateway domain>`.

docs/docs/reference/dstack.yml/task.md

@@ -82,7 +82,9 @@ When running it, `dstack run` forwards `6000` port to `localhost:6000`, enabling
 
 [//]: # (See [tasks](../../tasks.md#configure-ports) for more detail.)
 
-### Docker image
+### Docker
+
+If you want, you can specify your own Docker image via `image`.
 
 <div editor-title=".dstack.yml"> 
 
@@ -123,6 +125,10 @@ commands:
       - python fine-tuning/qlora/train.py
     ```
 
+!!! info "Docker and Docker Compose"
+    All backends except `runpod`, `vastai` and `kubernetes` also allow to use [Docker and Docker Compose](../../guides/protips.md#docker-and-docker-compose) 
+    inside `dstack` runs.
+
 ### Resources { #_resources }
 
 If you specify memory size, you can either specify an explicit size (e.g. `24GB`) or a 

examples/misc/docker-compose/.dstack.yml

@@ -0,0 +1,13 @@
+type: dev-environment
+name: vscode-dind
+
+privileged: true
+image: dstackai/dind
+ide: vscode
+init:
+  - start-dockerd
+
+spot_policy: auto
+
+resources:
+  gpu: 1

examples/misc/docker-compose/README.md

@@ -0,0 +1,185 @@
+# Docker Compose
+
+All backends except `runpod`, `vastai` and `kubernetes` allow to use Docker and Docker Compose 
+inside `dstack` runs.
+
+This example shows how to deploy Hugging Face [Chat UI :material-arrow-top-right-thin:{ .external }](https://huggingface.co/docs/chat-ui/index){:target="_blank"}
+with [TGI :material-arrow-top-right-thin:{ .external }](https://huggingface.co/docs/text-generation-inference/en/index){:target="_blank"}
+serving [Llama-3.2-3B-Instruct :material-arrow-top-right-thin:{ .external }](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct){:target="_blank"}
+using [Docker Compose :material-arrow-top-right-thin:{ .external }](https://docs.docker.com/compose/){:target="_blank"}.
+
+??? info "Prerequisites"
+    Once `dstack` is [installed](https://dstack.ai/docs/installation), go ahead clone the repo, and run `dstack init`.
+
+    <div class="termy">
+
+    ```shell
+    $ git clone https://github.com/dstackai/dstack
+    $ cd dstack
+    $ dstack init
+    ```
+
+    </div>
+
+## Deployment
+
+### Running as a task
+
+=== "`task.dstack.yml`"
+
+    <div editor-title="examples/misc/docker-compose/task.dstack.yml"> 
+
+    ```yaml
+    type: task
+    name: chat-ui-task
+
+    privileged: true
+    image: dstackai/dind
+    env:
+      - MODEL_ID=meta-llama/Llama-3.2-3B-Instruct
+      - HF_TOKEN
+    commands:
+      - start-dockerd
+      - docker compose up
+    ports:
+      - 9000
+
+    # Use either spot or on-demand instances
+    spot_policy: auto
+
+    resources:
+      # Required resources
+      gpu: "NVIDIA:16GB.."
+    ```
+
+    </div>
+
+=== "`compose.yml`"
+
+    <div editor-title="examples/misc/docker-compose/compose.yml"> 
+
+    ```yaml
+    services:
+      app:
+        image: ghcr.io/huggingface/chat-ui:sha-bf0bc92
+        command:
+          - bash
+          - -c
+          - |
+            echo MONGODB_URL=mongodb://db:27017 > .env.local
+            echo MODELS='`[{
+              "name": "${MODEL_ID?}",
+              "endpoints": [{"type": "tgi", "url": "http://tgi:8000"}]
+            }]`' >> .env.local
+            exec ./entrypoint.sh
+        ports:
+          - 127.0.0.1:9000:3000
+        depends_on:
+          - tgi
+          - db
+
+      tgi:
+        image: ghcr.io/huggingface/text-generation-inference:sha-704a58c
+        volumes:
+          - tgi_data:/data
+        environment:
+          HF_TOKEN: ${HF_TOKEN?}
+          MODEL_ID: ${MODEL_ID?}
+          PORT: 8000
+        deploy:
+          resources:
+            reservations:
+              devices:
+                - driver: nvidia
+                  count: all
+                  capabilities: [gpu]
+
+      db:
+        image: mongo:latest
+        volumes:
+          - db_data:/data/db
+
+    volumes:
+      tgi_data:
+      db_data:
+    ```
+
+    </div>
+
+### Deploying as a service
+
+If you'd like to deploy Chat UI as an auto-scalable and secure endpoint,
+use the service configuration. You can find it at [`examples/misc/docker-compose/service.dstack.yml` :material-arrow-top-right-thin:{ .external }](https://github.com/dstackai/dstack/blob/master/examples/misc/docker-compose/service.dstack.yml)
+
+### Running a configuration
+
+To run a configuration, use the [`dstack apply`](https://dstack.ai/docs/reference/cli/index.md#dstack-apply) command.
+
+<div class="termy">
+
+```shell
+$ HUGGING_FACE_HUB_TOKEN=...
+
+$ dstack apply -f examples/examples/misc/docker-compose/task.dstack.yml
+
+ #  BACKEND  REGION    RESOURCES                    SPOT  PRICE
+ 1  runpod   CA-MTL-1  18xCPU, 100GB, A5000:24GB    yes   $0.12
+ 2  runpod   EU-SE-1   18xCPU, 100GB, A5000:24GB    yes   $0.12
+ 3  gcp      us-west4  27xCPU, 150GB, A5000:24GB:2  yes   $0.23
+
+Submit the run chat-ui-task? [y/n]: y
+
+Provisioning...
+---> 100%
+```
+
+</div>
+
+## Persisting data
+
+To persist data between runs, create a [volume](https://dstack.ai/docs/concepts/volumes/) and attach it to the run
+configuration.
+
+<div editor-title="examples/misc/docker-compose/task.dstack.yml"> 
+
+```yaml
+type: task
+name: chat-ui-task
+
+privileged: true
+image: dstackai/dind
+env:
+  - MODEL_ID=meta-llama/Llama-3.2-3B-Instruct
+  - HF_TOKEN
+commands:
+  - start-dockerd
+  - docker compose up
+ports:
+  - 9000
+
+# Use either spot or on-demand instances
+spot_policy: auto
+
+resources:
+  # Required resources
+  gpu: "NVIDIA:16GB.."
+
+volumes:
+  - name: my-dind-volume
+    path: /var/lib/docker
+```
+
+</div>
+
+With this change, all Docker data—pulled images, containers, and crucially, volumes for database and model storage—will
+be persisted.
+
+## Source code
+
+The source-code of this example can be found in 
+[`examples/misc/docker-compose` :material-arrow-top-right-thin:{ .external }](https://github.com/dstackai/dstack/blob/master/examples/misc/docker-compose).
+
+## What's next?
+
+1. Check [dev environments](https://dstack.ai/docs/dev-environments), [tasks](https://dstack.ai/docs/tasks), 
+   [services](https://dstack.ai/docs/services), and [protips](https://dstack.ai/docs/protips).

examples/misc/docker-compose/compose.yaml

@@ -0,0 +1,43 @@
+services:
+  app:
+    image: ghcr.io/huggingface/chat-ui:sha-bf0bc92
+    command:
+      - bash
+      - -c
+      - |
+        echo MONGODB_URL=mongodb://db:27017 > .env.local
+        echo MODELS='`[{
+          "name": "${MODEL_ID?}",
+          "endpoints": [{"type": "tgi", "url": "http://tgi:8000"}]
+        }]`' >> .env.local
+        exec ./entrypoint.sh
+    ports:
+      - 127.0.0.1:9000:3000
+    depends_on:
+      - tgi
+      - db
+
+  tgi:
+    image: ghcr.io/huggingface/text-generation-inference:sha-704a58c
+    volumes:
+      - tgi_data:/data
+    environment:
+      HF_TOKEN: ${HF_TOKEN?}
+      MODEL_ID: ${MODEL_ID?}
+      PORT: 8000
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+
+  db:
+    image: mongo:latest
+    volumes:
+      - db_data:/data/db
+
+volumes:
+  tgi_data:
+  db_data: