Deployment with Manager
Documentation for deploying Dragonfly with the Manager on kubernetes using helm.
The Manager provides the web console, Open API, preheating and multi-cluster management, and it depends on MySQL and Redis. If you only need the P2P distribution capabilities, it is recommended to use the lightweight deployment without the Manager, refer to Lightweight Deployment.
Runtime
You can have a quick start following Helm Charts.
It is recommended to use containerd.
| Runtime | Version |
|---|---|
| containerd | v1.1.0+ |
| Docker | v20.0.1+ |
| CRI-O | All |
Setup kubernetes cluster
Kind is recommended if no Kubernetes cluster is available for testing.
Create kind multi-node cluster configuration file kind-config.yaml, configuration content is as follows:
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
nodes:
- role: control-plane
- role: worker
- role: worker
Create a kind multi-node cluster using the configuration file:
kind create cluster --config kind-config.yaml
Switch the context of kubectl to kind cluster:
kubectl config use-context kind-kind
Kind loads Dragonfly image
Pull Dragonfly latest images:
docker pull dragonflyoss/scheduler:latest
docker pull dragonflyoss/manager:latest
docker pull dragonflyoss/client:latest
docker pull dragonflyoss/dfinit:latest
Kind cluster loads Dragonfly latest images:
kind load docker-image dragonflyoss/scheduler:latest
kind load docker-image dragonflyoss/manager:latest
kind load docker-image dragonflyoss/client:latest
kind load docker-image dragonflyoss/dfinit:latest
Create Dragonfly cluster based on helm charts
Create helm charts configuration file charts-config.yaml, configuration content is as follows.
The Manager, MySQL and Redis are disabled by default, so they need to be enabled explicitly
when deploying with the Manager.
manager:
# Enable manager. The manager is disabled by default.
enable: true
image:
repository: dragonflyoss/manager
tag: latest
metrics:
enable: true
# MySQL and Redis are the dependencies of the manager,
# and they are disabled by default.
mysql:
enable: true
redis:
enable: true
scheduler:
image:
repository: dragonflyoss/scheduler
tag: latest
metrics:
enable: true
seedClient:
image:
repository: dragonflyoss/client
tag: latest
metrics:
enable: true
client:
image:
repository: dragonflyoss/client
tag: latest
metrics:
enable: true
dfinit:
enable: true
image:
repository: dragonflyoss/dfinit
tag: latest
config:
containerRuntime:
containerd:
configPath: /etc/containerd/config.toml
proxyAllRegistries: true
Create a Dragonfly cluster using the configuration file:
$ helm repo add dragonfly https://dragonflyoss.github.io/helm-charts/
$ helm install --wait --create-namespace --namespace dragonfly-system dragonfly dragonfly/dragonfly -f charts-config.yaml
NAME: dragonfly
LAST DEPLOYED: Mon Jul 27 21:23:00 2026
NAMESPACE: dragonfly-system
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
1. Get the manager address by running these commands:
export MANAGER_POD_NAME=$(kubectl get pods --namespace dragonfly-system -l "app=dragonfly,release=dragonfly,component=manager" -o jsonpath={.items[0].metadata.name})
export MANAGER_CONTAINER_PORT=$(kubectl get pod --namespace dragonfly-system $MANAGER_POD_NAME -o jsonpath="{.spec.containers[0].ports[0].containerPort}")
kubectl --namespace dragonfly-system port-forward $MANAGER_POD_NAME 8080:$MANAGER_CONTAINER_PORT
echo "Visit http://127.0.0.1:8080 to use your manager"
2. Get the scheduler address by running these commands:
export SCHEDULER_POD_NAME=$(kubectl get pods --namespace dragonfly-system -l "app=dragonfly,release=dragonfly,component=scheduler" -o jsonpath={.items[0].metadata.name})
export SCHEDULER_CONTAINER_PORT=$(kubectl get pod --namespace dragonfly-system $SCHEDULER_POD_NAME -o jsonpath="{.spec.containers[0].ports[0].containerPort}")
kubectl --namespace dragonfly-system port-forward $SCHEDULER_POD_NAME 8002:$SCHEDULER_CONTAINER_PORT
echo "Visit http://127.0.0.1:8002 to use your scheduler"
3. Configure runtime to use dragonfly:
https://d7y.io/docs/getting-started/quick-start/kubernetes/
Check that Dragonfly is deployed successfully:
$ kubectl get po -n dragonfly-system
NAME READY STATUS RESTARTS AGE
dragonfly-client-dhqfc 1/1 Running 0 13m
dragonfly-client-h58x6 1/1 Running 0 13m
dragonfly-manager-7b4fd85458-fjtpk 1/1 Running 0 13m
dragonfly-mysql-0 1/1 Running 0 13m
dragonfly-redis-master-0 1/1 Running 0 13m
dragonfly-redis-replicas-0 1/1 Running 0 13m
dragonfly-redis-replicas-1 1/1 Running 0 11m
dragonfly-redis-replicas-2 1/1 Running 0 10m
dragonfly-scheduler-0 1/1 Running 0 13m
dragonfly-seed-client-0 1/1 Running 2 (76s ago) 13m
Containerd downloads images through Dragonfly
Pull alpine:3.19 image in kind-worker node:
docker exec -i kind-worker /usr/local/bin/crictl pull alpine:3.19
Verify
You can execute the following command to check if the alpine:3.19 image is distributed via Dragonfly.
# Find pod name.
export POD_NAME=$(kubectl get pods --namespace dragonfly-system -l "app=dragonfly,release=dragonfly,component=client" -o=jsonpath='{.items[?(@.spec.nodeName=="kind-worker")].metadata.name}' | head -n 1 )
# Find task id.
export TASK_ID=$(kubectl -n dragonfly-system exec ${POD_NAME} -- sh -c "grep -hoP 'library/alpine.*task_id=\"\K[^\"]+' /var/log/dragonfly/dfdaemon/* | head -n 1")
# Check logs.
kubectl -n dragonfly-system exec -it ${POD_NAME} -- sh -c "grep ${TASK_ID} /var/log/dragonfly/dfdaemon/* | grep 'download task succeeded'"
# Download logs.
kubectl -n dragonfly-system exec ${POD_NAME} -- sh -c "grep ${TASK_ID} /var/log/dragonfly/dfdaemon/*" > dfdaemon.log
The expected output is as follows:
{
2024-04-19T02:44:09.259458Z INFO
"download_task":"dragonfly-client/src/grpc/dfdaemon_download.rs:276":: "download task succeeded"
"host_id": "172.18.0.3-kind-worker",
"task_id": "a46de92fcb9430049cf9e61e267e1c3c9db1f1aa4a8680a048949b06adb625a5",
"peer_id": "172.18.0.3-kind-worker-86e48d67-1653-4571-bf01-7e0c9a0a119d"
}
Preheat image
Use the Open API or the web console to preheat images to Dragonfly, refer to Preheat.