--- type: docs title: "How-To: Run Dapr in self-hosted mode with Docker" linkTitle: "Run with Docker" weight: 20000 description: "How to deploy and run Dapr in self-hosted mode using Docker" --- This article provides guidance on running Dapr with Docker on a Windows/Linux/macOS machine or VM. ## Prerequisites - [Dapr CLI]({{< ref install-dapr-cli.md >}}) - [Docker](https://docs.docker.com/get-docker/) - [Docker-Compose](https://docs.docker.com/compose/install/) (optional) ## Initialize Dapr environment To initialize the Dapr control-plane containers and create a default configuration file, run: ```bash dapr init ``` ## Run both app and sidecar as a process The [`dapr run` CLI command]({{< ref dapr-run.md >}}) can be used to launch a Dapr sidecar along with your application: ```bash dapr run --app-id myapp --app-port 5000 -- dotnet run ``` This command will launch both the daprd sidecar binary and run `dotnet run`, launching your application. ## Run app as a process and sidecar as a Docker container Alternately, if you are running Dapr in a Docker container and your app as a process on the host machine, then you need to configure Docker to use the host network so that Dapr and the app can share a localhost network interface. {{% alert title="Note" color="warning" %}} The host networking driver for Docker is only supported on Linux hosts. {{% /alert %}} If you are running your Docker daemon on a Linux host, you can run the following to launch Dapr: ```shell docker run --net="host" --mount type=bind,source="$(pwd)"/components,target=/components daprio/daprd:edge ./daprd -app-id -app-port ``` Then you can run your app on the host and they should connect over the localhost network interface. ## Run both app and Dapr in a single Docker container > For development purposes ONLY It is not recommended to run both the Dapr runtime and an application inside the same container. However, it is possible to do so for local development scenarios. In order to do this, you'll need to write a Dockerfile that installs the Dapr runtime, Dapr CLI and your app code. You can then invoke both the Dapr runtime and your app code using the Dapr CLI. Below is an example of a Dockerfile which achieves this: ```docker FROM python:3.7.1 # Install dapr CLI RUN wget -q https://raw.githubusercontent.com/dapr/cli/master/install/install.sh -O - | /bin/bash # Install daprd ARG DAPR_BUILD_DIR COPY $DAPR_BUILD_DIR /opt/dapr ENV PATH="/opt/dapr/:${PATH}" # Install your app WORKDIR /app COPY python . RUN pip install requests ENTRYPOINT ["dapr"] CMD ["run", "--app-id", "nodeapp", "--app-port", "3000", "node", "app.js"] ``` Remember that if Dapr needs to communicate with other components i.e. Redis, these also need to be made accessible to it. ## Run on a Docker network If you have multiple instances of Dapr running in Docker containers and want them to be able to communicate with each other *i.e. for service invocation*, then you'll need to create a shared Docker network and make sure those Dapr containers are attached to it. You can create a simple Docker network using: ```bash docker network create my-dapr-network ``` When running your Docker containers, you can attach them to the network using: ```bash docker run --net=my-dapr-network ... ``` Each container will receive a unique IP on that network and be able to communicate with other containers on that network. ## Run using Docker-Compose [Docker Compose](https://docs.docker.com/compose/) can be used to define multi-container application configurations. If you wish to run multiple apps with Dapr sidecars locally without Kubernetes then it is recommended to use a Docker Compose definition (`docker-compose.yml`). The syntax and tooling of Docker Compose is outside the scope of this article, however, it is recommended you refer to the [offical Docker documentation](https://docs.docker.com/compose/) for further details. In order to run your applications using Dapr and Docker Compose you'll need to define the sidecar pattern in your `docker-compose.yml`. For example: ```yaml version: '3' services: nodeapp: build: ./node ports: - "50001:50001" # Dapr instances communicate over gRPC so we need to expose the gRPC port depends_on: - redis - placement networks: - hello-dapr nodeapp-dapr: image: "daprio/daprd:edge" command: [ "./daprd", "-app-id", "nodeapp", "-app-port", "3000", "-placement-host-address", "placement:50006" # Dapr's placement service can be reach via the docker DNS entry ] volumes: - "./components/:/components" # Mount our components folder for the runtime to use depends_on: - nodeapp network_mode: "service:nodeapp" # Attach the nodeapp-dapr service to the nodeapp network namespace ... # Deploy other daprized services and components (i.e. Redis) placement: image: "daprio/dapr" command: ["./placement", "-port", "50006"] ports: - "50006:50006" networks: - hello-dapr ``` > For those running the Docker daemon on a Linux host, you can also use `network_mode: host` to leverage host networking if needed. To further learn how to run Dapr with Docker Compose, see the [Docker-Compose Sample](https://github.com/dapr/samples/tree/master/hello-docker-compose). ## Run on Kubernetes If your deployment target is Kubernetes please use Dapr's first-class integration. Refer to the [Dapr on Kubernetes docs]({{< ref "kubernetes-overview.md" >}}). ## Docker images Dapr provides a number of prebuilt Docker images for different components, you should select the relevant image for your desired binary, architecture, and tag/version. ### Images There are published Docker images for each of the Dapr components available on [Docker Hub](https://hub.docker.com/u/daprio). - [daprio/dapr](https://hub.docker.com/r/daprio/dapr) (contains all Dapr binaries) - [daprio/daprd](https://hub.docker.com/r/daprio/daprd) - [daprio/placement](https://hub.docker.com/r/daprio/placement) - [daprio/sentry](https://hub.docker.com/r/daprio/sentry) - [daprio/dapr-dev](https://hub.docker.com/r/daprio/dapr-dev) ### Tags #### Linux/amd64 - `latest`: The latest release version, **ONLY** use for development purposes. - `edge`: The latest edge build (master). - `major.minor.patch`: A release version. - `major.minor.patch-rc.iteration`: A release candidate. #### Linux/arm/v7 - `latest-arm`: The latest release version for ARM, **ONLY** use for development purposes. - `edge-arm`: The latest edge build for ARM (master). - `major.minor.patch-arm`: A release version for ARM. - `major.minor.patch-rc.iteration-arm`: A release candidate for ARM.