Add docker-compose Windows support

README.md

@@ -51,10 +51,10 @@ Use one of our pre-installed Amazon Machine Images for easy deployment in AWS.
 
 For details and instructions, see [TRAINS-server: AWS pre-installed images](docs/install_aws.md).
 
-## Docker Installation - Linux, macOS <a name="installation"></a>
+## Docker Installation - Linux, macOS, and Windows <a name="installation"></a>
 
 Use our pre-built Docker image for easy deployment in Linux and macOS.
-For Windows, we recommend installing our pre-built Docker image on a Linux virtual machine.
+For Windows, please see detailed docker-compose installation instructions on our [FAQ](https://github.com/allegroai/trains-server/blob/master/docs/faq.md#docker_compose_win10).
 Latest docker images can be found [here](https://hub.docker.com/r/allegroai/trains).
 
 1. Setup Docker (docker-compose installation details: [Ubuntu](docs/faq.md#ubuntu) / [macOS](docs/faq.md#mac-osx))

docker-compose-win10.yml

@@ -0,0 +1,117 @@
+version: "3.6"
+services:
+
+  apiserver:
+    command:
+    - apiserver
+    container_name: trains-apiserver
+    image: allegroai/trains:latest
+    restart: unless-stopped
+    volumes:
+    - c:/opt/trains/logs:/var/log/trains
+    - c:/opt/trains/config:/opt/trains/config
+    depends_on:
+      - redis
+      - mongo
+      - elasticsearch
+      - fileserver
+    environment:
+      ELASTIC_SERVICE_HOST: elasticsearch
+      MONGODB_SERVICE_HOST: mongo
+      REDIS_SERVICE_HOST: redis
+    ports:
+    - "8008:8008"
+    networks:
+      - backend
+
+  elasticsearch:
+    networks:
+      - backend
+    container_name: trains-elastic
+    environment:
+      ES_JAVA_OPTS: -Xms2g -Xmx2g
+      bootstrap.memory_lock: "true"
+      cluster.name: trains
+      cluster.routing.allocation.node_initial_primaries_recoveries: "500"
+      discovery.zen.minimum_master_nodes: "1"
+      http.compression_level: "7"
+      node.ingest: "true"
+      node.name: trains
+      reindex.remote.whitelist: '*.*'
+      script.inline: "true"
+      script.painless.regex.enabled: "true"
+      script.update: "true"
+      thread_pool.bulk.queue_size: "2000"
+      thread_pool.search.queue_size: "10000"
+      xpack.monitoring.enabled: "false"
+      xpack.security.enabled: "false"
+    ulimits:
+      memlock:
+        soft: -1
+        hard: -1
+      nofile:
+        soft: 65536
+        hard: 65536
+    image: docker.elastic.co/elasticsearch/elasticsearch:5.6.16
+    restart: unless-stopped
+    volumes:
+    - c:/opt/trains/data/elastic:/usr/share/elasticsearch/data
+    ports:
+    - "9200:9200"
+
+  fileserver:
+    networks:
+      - backend
+    command:
+    - fileserver
+    container_name: trains-fileserver
+    image: allegroai/trains:latest
+    restart: unless-stopped
+    volumes:
+    - c:/opt/trains/logs:/var/log/trains
+    - c:/opt/trains/data/fileserver:/mnt/fileserver
+    ports:
+    - "8081:8081"
+
+  mongo:
+    networks:
+      - backend
+    container_name: trains-mongo
+    image: mongo:3.6.5
+    restart: unless-stopped
+    command: --setParameter internalQueryExecMaxBlockingSortBytes=196100200
+    volumes:
+    - mongodata:/data
+    ports:
+    - "27017:27017"
+
+  redis:
+    networks:
+      - backend
+    container_name: trains-redis
+    image: redis:5.0
+    restart: unless-stopped
+    volumes:
+    - c:/opt/trains/data/redis:/data
+    ports:
+    - "6379:6379"
+
+  webserver:
+    command:
+    - webserver
+    container_name: trains-webserver
+    image: allegroai/trains:latest
+    restart: unless-stopped
+    volumes:
+    - c:/trains/logs:/var/log/trains
+    depends_on:
+      - apiserver
+    ports:
+    - "8080:80"
+
+networks:
+  backend:
+    driver: bridge
+
+volumes:
+  mongodata:

docs/faq.md

@@ -6,12 +6,15 @@
 
 * [Running trains-server on Mac OS X](#mac-osx)
 
+* [Running trains-server on Windows 10](#docker_compose_win10)
+
 * [Installing trains-server on stand alone Linux Ubuntu  systems ](#ubuntu)
 
 * [Resolving port conflicts preventing fixed users mode authentication and login](#port-conflict)
 
 * [Configuring trains-server for sub-domains and load balancers](#sub-domains)
 
+
 ### Deploying trains-server on Kubernetes clusters <a name="kubernetes"></a>
 
 **trains-server** supports Kubernetes. See [trains-server-k8s](https://github.com/allegroai/trains-server-k8s)
@@ -59,6 +62,43 @@ To install and configure **trains-server** on Mac OS X, follow the steps below.
 
     Your server is now running on [http://localhost:8080](http://localhost:8080)
 
+### Running trains-server on Windows 10 <a name="docker_compose_win10"></a>
+
+You can run **trains-server** on Windows 10 using Docker Desktop for Windows (see the Docker [System Requirements](https://docs.docker.com/docker-for-windows/install/#system-requirements)).
+
+To run **trains-server** on Windows 10, follow the steps below.
+
+1. Install the Docker Desktop for Windows application by either:
+
+    * following the [Install Docker Desktop on Windows](https://docs.docker.com/docker-for-windows/install/) instructions.
+    * running the Docker installation [wizard](https://hub.docker.com/?overlay=onboarding).
+
+1. Increase the memory allocation in Docker Desktop to `4GB`.
+
+    1. In your Windows notification area (system tray), right click the Docker icon.
+    
+    1. Click *Settings*, *Advanced*, and then set the memory to at least `4096`. 
+    
+    1. Click *Apply*.
+
+1. Create local directories for data and logs. Open PowerShell and execute the following commands:
+
+        mkdir c:\opt\trains\logs
+        mkdir c:\opt\trains\config
+        mkdir c:\opt\trains\data
+        mkdir c:\opt\trains\data\elastic
+        mkdir c:\opt\trains\data\redis
+        mkdir c:\opt\trains\data\fileserver
+
+1. Save the **trains-server** docker-compose YAML file [docker-compose-win10.yml](https://raw.githubusercontent.com/allegroai/trains-server/master/docker-compose-win10.yml) as `c:\opt\trains\docker-compose.yml`.
+
+1. Run `docker-compose`. In PowerShell, execute the following commands:
+
+        cd c:\opt\trains\
+        docker-compose up
+
+    Your server is now running on [http://localhost:8080](http://localhost:8080)
+
 ### Installing trains-server on stand alone Linux Ubuntu systems <a name="ubuntu"></a>
 
 To install **trains-server** on a stand alone Linux Ubuntu, follow the steps belows.