Getting Started

Dozzle supports multiple ways to run the application. You can run it using Docker CLI, Docker Compose, Swarm, or Kubernetes. The following sections will guide you through the process of setting up Dozzle.

TIP

If Docker Hub is blocked in your network, you can use the GitHub Container Registry to pull the image. Use ghcr.io/amir20/dozzle:latest instead of amir20/dozzle:latest.

Standalone Docker

The easiest way to set up Dozzle is to use the CLI and mount docker.sock file. This file is usually located at /var/run/docker.sock and can be mounted with the --volume flag. You also need to expose the port to view Dozzle. By default, Dozzle listens on port 8080, but you can change the external port using -p. You can also run using compose or as a service in Swarm.

sh

docker run -d -v /var/run/docker.sock:/var/run/docker.sock -p 8080:8080 amir20/dozzle:latest

docker-compose.yml

# Run with docker compose up -d
services:
  dozzle:
    image: amir20/dozzle:latest
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    ports:
      - 8080:8080

Dozzle also supports connecting to remote agents to monitor multiple Docker hosts. See agent to learn more.

Docker Swarm

Dozzle supports running in Swarm mode by deploying it on every node. To run Dozzle in Swarm mode, you can use the following configuration:

# Run with docker stack deploy -c dozzle-stack.yml <name>
services:
  dozzle:
    image: amir20/dozzle:latest
    environment:
      - DOZZLE_MODE=swarm
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    ports:
      - 8080:8080
    networks:
      - dozzle
    deploy:
      mode: global
networks:
  dozzle:
    driver: overlay

Then you can deploy the stack using the following command:

docker stack deploy -c dozzle-stack.yml <name>

See swarm mode for more information.

K8s New

Dozzle supports running in Kubernetes. It only needs to be deployed on one node within the cluster.

# rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: pod-viewer
---
# clusterrole.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: pod-viewer-role
rules:
  - apiGroups: [""]
    resources: ["pods", "pods/log", "nodes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: ["metrics.k8s.io"]
    resources: ["pods"]
    verbs: ["get", "list"]
---
# clusterrolebinding.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: pod-viewer-binding
subjects:
  - kind: ServiceAccount
    name: pod-viewer
    namespace: default
roleRef:
  kind: ClusterRole
  name: pod-viewer-role
  apiGroup: rbac.authorization.k8s.io
---
# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: dozzle
spec:
  replicas: 1
  selector:
    matchLabels:
      app: dozzle
  template:
    metadata:
      labels:
        app: dozzle
    spec:
      serviceAccountName: pod-viewer
      containers:
        - name: dozzle
          image: amir20/dozzle:latest
          ports:
            - containerPort: 8080
          env:
            - name: DOZZLE_MODE
              value: "k8s"

Then apply the configuration using the following command:

kubectl apply -f k8s-dozzle.yml

See Kubernetes mode for more information.