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Reposamir20/dozzle
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Dozzle - dozzle.dev

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Dozzle is a small lightweight application with a web based interface to monitor Docker logs. It doesn’t store any log files. It is for live monitoring of your container logs only.

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\n \n \n \n\n dozzle-dark.mp4\n \n \n\n \n
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\"Docker
\n\"Docker
\n\"Docker
\n\"Test\"

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Features

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Dozzle has been tested with hundreds of containers. However, it doesn't support offline searching. Products like Loggly, Papertrail or Kibana are more suited for full search capabilities.

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Getting Started

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Dozzle is a small container (7 MB compressed). Pull the latest release with:

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$ docker pull amir20/dozzle:latest\n
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Running Dozzle

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The simplest way to use dozzle is to run the docker container. Also, mount the Docker Unix socket with --volume to /var/run/docker.sock:

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$ docker run --name dozzle -d --volume=/var/run/docker.sock:/var/run/docker.sock -p 8080:8080 amir20/dozzle:latest\n
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Dozzle will be available at http://localhost:8080/.

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Here is the Docker Compose file:

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services:\n  dozzle:\n    container_name: dozzle\n    image: amir20/dozzle:latest\n    volumes:\n      - /var/run/docker.sock:/var/run/docker.sock\n    ports:\n      - 8080:8080\n
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For advanced options like authentication, remote hosts or common questions see documentation at dozzle.dev.

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Swarm Mode

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Dozzle works with Docker Swarm mode. You can run Dozzle as a global service with:

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$ docker service create --name dozzle --env DOZZLE_MODE=swarm --mode global --mount type=bind,source=/var/run/docker.sock,target=/var/run/docker.sock -p 8080:8080 amir20/dozzle:latest\n
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See the Swarm Mode documentation for more details.

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Agent Mode

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Dozzle can be used to monitor multiple Docker hosts. You can run Dozzle in agent mode with:

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$ docker run -v /var/run/docker.sock:/var/run/docker.sock -p 7007:7007 amir20/dozzle:latest agent\n
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See the Agent Mode documentation for more details.

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Technical Details

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Dozzle users automatic API negotiation which works with most Docker configurations. Dozzle also works with Colima and Podman.

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Installation on podman

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By default Podman doesn't have a background process but you can enable this for Dozzle to work.

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Verify first if your podman installation has enabled remote socket:

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podman info\n
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When you get under the key remote socket output like this, its already enabled:

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  remoteSocket:\n    exists: true\n    path: /run/user/1000/podman/podman.sock\n
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If it's not enabled please follow this tutorial to enable it.

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Once you have the podman remote socket you can run Dozzle on podman.

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podman run --volume=/run/user/1000/podman/podman.sock:/var/run/docker.sock -d -p 8080:8080 docker.io/amir20/dozzle:latest\n
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Additionally you have to create a fake engine-id to prevent host not found errors. Podman doesn't generate an engine-id like Docker by itself due to its daemonless architecture.

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Under /var/lib/docker create a file named engine-id. On a system with Podman you will have to create the folder path as well. Inside the file place the UUID, for instance using uuidgen > engine-id. After that the file should have an identifier that looks like this: b9f1d7fc-b459-4b6e-9f7a-e3d1cd2e14a9.

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For more details check Podman Infos or the FAQ

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Security

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Dozzle supports file based authentication and forward proxy like Authelia. These are documented at https://dozzle.dev/guide/authentication.

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Analytics collected

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Dozzle collects anonymous user configurations using Google Analytics. Why? Dozzle is an open source project with no funding. As a result, there is no time to do user studies of Dozzle. Analytics is collected to prioritize features and fixes based on how people use Dozzle. This data is completely public and can be viewed live using Data Studio dashboard.

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If you do not want to be tracked at all, see the --no-analytics flag below.

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Environment variables and configuration

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Dozzle follows the 12-factor model. Configurations can use the CLI flags or environment variables. See documentation at https://dozzle.dev/guide/supported-env-vars for more details.

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Support

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There are many ways you can support Dozzle:

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\"Buy

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License

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MIT

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Building

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To build and test locally:

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    \n
  1. Install NodeJs and pnpm.
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  2. Install Go.
    3. \n
  3. Install tools with make tools.
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  4. Install node modules pnpm install.
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  5. Run make dev to start a development server with hot reload.
    6. \n
","updatedAt":"2025-05-21T15:55:31Z","upvoteCount":null,"author":{"login":"eryajf","avatarUrl":"https://avatars.githubusercontent.com/u/33259379?u=e4a4090a38ac2473aaed4ef9945233636776c6c3&v=4","url":"https://github.com/eryajf"},"category":null,"labels":{"edges":[{"node":{"name":"更多","color":"25B472"}},{"node":{"name":"Docker-UI","color":"e47f94"}},{"node":{"name":"amir20","color":"ec62da"}}]},"comments":{"edges":[]}}},"pageContext":{"number":133,"previous":{"title":"kuaifan/dootask: 一款开源在线项目任务管理工具，提供各类文档协作工具、在线思维导图、在线流程图、项目管理、任务分发、即时IM，文件管理等工具","number":132},"next":{"title":"donknap/dpanel: Docker 可视化面板系统，提供完善的 docker 管理功能。","number":134}}}, "staticQueryHashes": ["151096407","2861350382"]}