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Community Blog Dragonfly Integrates Nydus for Image Acceleration Practive

Dragonfly Integrates Nydus for Image Acceleration Practive

In this article, we will see how to use the integration of dragonfly and nydus for image acceleration.

By Gaius, Dragonfly Maintainer

Introduce Definition

Dragonfly has been selected and put into production use by many Internet companies since its open source in 2017, and entered CNCF in October 2018, becoming the third project in China to enter the CNCF Sandbox. In April 2020, CNCF TOC voted to accept Dragonfly as an CNCF Incubating project. Dragonfly has developed the next version through production practice, which has absorbed the advantages of Dragonfly1.x and made a lot of optimizations for known problems.

Nydus optimized the OCIv1 image format, and designed a brand new image-based filesystem, so that the container can download the image on demand, and the container no longer needs to download the complete image to start the container. In the latest version, dragonfly has completed the integration with the nydus, allowing the container to start downloading images on demand, reducing the amount of downloads. The dragonfly P2P transmission method can also be used during the transmission process to reduce the back-to-source traffic and increase the speed.

Quick Start

Prerequisites

Name Version Document
Kubernetes cluster 1.20+ kubernetes.io
Helm 3.8.0+ helm.sh
Containerd v1.4.3+ containerd.io
Nerdctl 0.22+ containerd/nerdctl

Notice: Kind is recommended if no kubernetes cluster is available for testing.

Install Dragonfly

For detailed installation documentation based on kubernetes cluster, please refer to quick-start-kubernetes.

Setup Kubernetes Cluster

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
    extraPortMappings:
      - containerPort: 30950
        hostPort: 65001
      - containerPort: 30951
        hostPort: 40901
  - 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/dfdaemon: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/dfdaemon:latest

Create Dragonfly Cluster Based on Helm Charts

Create helm charts configuration file charts-config.yaml and enable prefetching, configuration content is as follows:

scheduler:
  replicas: 1
  metrics:
    enable: true
  config:
    verbose: true
    pprofPort: 18066

seedPeer:
  replicas: 1
  metrics:
    enable: true
  config:
    verbose: true
    pprofPort: 18066
    download:
      prefetch: true

dfdaemon:
  hostNetwork: true
  metrics:
    enable: true
  config:
    verbose: true
    pprofPort: 18066
    download:
      prefetch: true
    proxy:
      defaultFilter: 'Expires&Signature&ns'
      security:
        insecure: true
      tcpListen:
        listen: 0.0.0.0
        port: 65001
      registryMirror:
        dynamic: true
        url: https://index.docker.io
      proxies:
        - regx: blobs/sha256.*

manager:
  replicas: 1
  metrics:
    enable: true
  config:
    verbose: true
    pprofPort: 18066

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: Wed Oct 19 04:23:22 2022
NAMESPACE: dragonfly-system
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
1. 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"

2. Get the dfdaemon port by running these commands:
  export DFDAEMON_POD_NAME=$(kubectl get pods --namespace dragonfly-system -l "app=dragonfly,release=dragonfly,component=dfdaemon" -o jsonpath={.items[0].metadata.name})
  export DFDAEMON_CONTAINER_PORT=$(kubectl get pod --namespace dragonfly-system $DFDAEMON_POD_NAME -o jsonpath="{.spec.containers[0].ports[0].containerPort}")
  You can use $DFDAEMON_CONTAINER_PORT as a proxy port in Node.

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-dfdaemon-rhnr6             1/1     Running   4 (101s ago)   3m27s
dragonfly-dfdaemon-s6sv5             1/1     Running   5 (111s ago)   3m27s
dragonfly-manager-67f97d7986-8dgn8   1/1     Running   0              3m27s
dragonfly-mysql-0                    1/1     Running   0              3m27s
dragonfly-redis-master-0             1/1     Running   0              3m27s
dragonfly-redis-replicas-0           1/1     Running   1 (115s ago)   3m27s
dragonfly-redis-replicas-1           1/1     Running   0              95s
dragonfly-redis-replicas-2           1/1     Running   0              70s
dragonfly-scheduler-0                1/1     Running   0              3m27s
dragonfly-seed-peer-0                1/1     Running   2 (95s ago)    3m27s

Create peer service configuration file peer-service-config.yaml, configuration content is as follows:

apiVersion: v1
kind: Service
metadata:
  name: peer
  namespace: dragonfly-system
spec:
  type: NodePort
  ports:
    - name: http-65001
      nodePort: 30950
      port: 65001
    - name: http-40901
      nodePort: 30951
      port: 40901
  selector:
    app: dragonfly
    component: dfdaemon
    release: dragonfly

Create a peer service using the configuration file:

kubectl apply -f peer-service-config.yaml

Install Nydus for Containerd

For detailed nydus installation documentation based on containerd environment, please refer to nydus-setup-for-containerd-environment. The example uses Systemd to manage the nydus-snapshotter service.

Install Nydus Tools

Download containerd-nydus-grpc binary, please refer to nydus-snapshotter/releases:

NYDUS_SNAPSHOTTER_VERSION=0.3.3
wget https://github.com/containerd/nydus-snapshotter/releases/download/v$NYDUS_SNAPSHOTTER_VERSION/nydus-snapshotter-v$NYDUS_SNAPSHOTTER_VERSION-x86_64.tgz
tar zxvf nydus-snapshotter-v$NYDUS_SNAPSHOTTER_VERSION-x86_64.tgz

Install containerd-nydus-grpc tool:

sudo cp nydus-snapshotter/containerd-nydus-grpc /usr/local/bin/

Download nydus-image, nydusd and nydusify binaries, please refer to dragonflyoss/image-service:

NYDUS_VERSION=2.1.1
wget https://github.com/dragonflyoss/image-service/releases/download/v$NYDUS_VERSION/nydus-static-v$NYDUS_VERSION-linux-amd64.tgz
tar zxvf nydus-static-v$NYDUS_VERSION-linux-amd64.tgz

Install nydus-image, nydusd and nydusify tools:

sudo cp nydus-static/nydus-image nydus-static/nydusd nydus-static/nydusify /usr/local/bin/

Install nydus snapshotter plugin for containerd

Configure containerd to use the nydus-snapshotter plugin, please refer to configure-and-start-containerd.

127.0.0.1:65001 is the proxy address of dragonfly peer, and the X-Dragonfly-Registry header is the address of origin registry, which is provided for dragonfly to download the images.

Change configuration of containerd in /etc/containerd/config.toml:

[proxy_plugins]
  [proxy_plugins.nydus]
    type = "snapshot"
    address = "/run/containerd-nydus/containerd-nydus-grpc.sock"

[plugins.cri]
  [plugins.cri.containerd]
    snapshotter = "nydus"
    disable_snapshot_annotations = false

Restart containerd service:

sudo systemctl restart containerd

Check that containerd uses the nydus-snapshotter plugin:

$ ctr -a /run/containerd/containerd.sock plugin ls | grep nydus
io.containerd.snapshotter.v1          nydus                    -              ok

Systemd starts nydus snapshotter service

For detailed configuration documentation based on nydus mirror mode, please refer to enable-mirrors-for-storage-backend.

Create nydusd configuration file nydusd-config.json, configuration content is as follows:

{
  "device": {
    "backend": {
      "type": "registry",
      "config": {
        "mirrors": [
          {
            "host": "http://127.0.0.1:65001",
            "auth_through": false,
            "headers": {
              "X-Dragonfly-Registry": "https://index.docker.io"
            },
            "ping_url": "http://127.0.0.1:40901/server/ping"
          }
        ],
        "scheme": "https",
        "skip_verify": false,
        "timeout": 10,
        "connect_timeout": 10,
        "retry_limit": 2
      }
    },
    "cache": {
      "type": "blobcache",
      "config": {
        "work_dir": "/var/lib/nydus/cache/"
      }
    }
  },
  "mode": "direct",
  "digest_validate": false,
  "iostats_files": false,
  "enable_xattr": true,
  "fs_prefetch": {
    "enable": true,
    "threads_count": 10,
    "merging_size": 131072,
    "bandwidth_rate": 1048576
  }
}

Copy configuration file to /etc/nydus/config.json:

sudo mkdir /etc/nydus && cp nydusd-config.json /etc/nydus/config.json

Create systemd configuration file nydus-snapshotter.service of nydus snapshotter, configuration content is as follows:

[Unit]
Description=nydus snapshotter
After=network.target
Before=containerd.service

[Service]
Type=simple
Environment=HOME=/root
ExecStart=/usr/local/bin/containerd-nydus-grpc --config-path /etc/nydus/config.json
Restart=always
RestartSec=1
KillMode=process
OOMScoreAdjust=-999
StandardOutput=journal
StandardError=journal

[Install]
WantedBy=multi-user.target

Copy configuration file to /etc/systemd/system/:

sudo cp nydus-snapshotter.service /etc/systemd/system/

Systemd starts nydus snapshotter service:

$ sudo systemctl enable nydus-snapshotter
$ sudo systemctl start nydus-snapshotter
$ sudo systemctl status nydus-snapshotter
● nydus-snapshotter.service - nydus snapshotter
     Loaded: loaded (/etc/systemd/system/nydus-snapshotter.service; enabled; vendor preset: enabled)
     Active: active (running) since Wed 2022-10-19 08:01:00 UTC; 2s ago
   Main PID: 2853636 (containerd-nydu)
      Tasks: 9 (limit: 37574)
     Memory: 4.6M
        CPU: 20ms
     CGroup: /system.slice/nydus-snapshotter.service
             └─2853636 /usr/local/bin/containerd-nydus-grpc --config-path /etc/nydus/config.json

Oct 19 08:01:00 kvm-gaius-0 systemd[1]: Started nydus snapshotter.
Oct 19 08:01:00 kvm-gaius-0 containerd-nydus-grpc[2853636]: time="2022-10-19T08:01:00.493700269Z" level=info msg="gc goroutine start..."
Oct 19 08:01:00 kvm-gaius-0 containerd-nydus-grpc[2853636]: time="2022-10-19T08:01:00.493947264Z" level=info msg="found 0 daemons running"

Convert An Image to Nydus Format

Convert python:3.9.15 image to nydus format, you can use the converted dragonflyoss/python:3.9.15-nydus image and skip this step. Conversion tool can use nydusify and acceld.

Login to Dockerhub:

docker login

Convert python:3.9.15 image to nydus format, and DOCKERHUB_REPO_NAME environment variable needs to be set to the user's image repository:

DOCKERHUB_REPO_NAME=dragonflyoss
sudo nydusify convert --nydus-image /usr/local/bin/nydus-image --source python:3.9.15 --target $DOCKERHUB_REPO_NAME/python:3.9.15-nydus

Try nydus with nerdctl

Running python:3.9.15-nydus with nerdctl:

sudo nerdctl --snapshotter nydus run --rm -it $DOCKERHUB_REPO_NAME/python:3.9.15-nydus

Check that nydus is downloaded via dragonfly based on mirror mode:

$ grep mirrors /var/lib/containerd-nydus/logs/**/*log
[2022-10-19 10:16:13.276548 +00:00] INFO [storage/src/backend/connection.rs:271] backend config: ConnectionConfig { proxy: ProxyConfig { url: "", ping_url: "", fallback: false, check_interval: 5, use_http: false }, mirrors: [MirrorConfig { host: "http://127.0.0.1:65001", headers: {"X-Dragonfly-Registry": "https://index.docker.io"}, auth_through: false }], skip_verify: false, timeout: 10, connect_timeout: 10, retry_limit: 2 }

Performance Testing

Test the performance of single-machine image download after the integration of nydus mirror mode and dragonfly P2P. Test running version commands using images in different languages. For example, the startup command used to run a python image is python -V. The tests were performed on the same machine. Due to the influence of the network environment of the machine itself, the actual download time is not important, but the ratio of the increase in the download time in different scenarios is very important.

1

  • OCIv1: Use containerd to pull image directly.
  • Nydus Cold Boot: Use containerd to pull image via nydus-snapshotter and doesn't hit any cache.
  • Nydus & Dragonfly Cold Boot: Use containerd to pull image via nydus-snapshotter. Transfer the traffic to dragonfly P2P based on nydus mirror mode and no cache hits.
  • Hit Dragonfly Remote Peer Cache: Use containerd to pull image via nydus-snapshotter. Transfer the traffic to dragonfly P2P based on nydus mirror mode and hit the remote peer cache.
  • Hit Dragonfly Local Peer Cache: Use containerd to pull image via nydus-snapshotter. Transfer the traffic to dragonfly P2P based on nydus mirror mode and hit the local peer cache.
  • Hit Nydus Cache: Use containerd to pull image via nydus-snapshotter. Transfer the traffic to dragonfly P2P based on nydus mirror mode and hit the nydus local cache.

Test results show nydus mirror mode and dragonfly P2P integration. Use the nydus download image to compare the OCIv1 mode, It can effectively reduce the image download time. The cold boot of nydus and nydus & dragonfly are basically close. All hits to dragonfly cache are better than nydus only. The most important thing is that if a very large kubernetes cluster uses nydus to pull images. The download of each image layer will be generate as many range requests as needed. The QPS of the source of the registry is too high. Causes the QPS of the registry to be relatively high. Dragonfly can effectively reduce the number of requests and download traffic for back-to-source registry. In the best case, dragonfly can make the same task back-to-source download only once.

Links

Dragonfly Community

Website: https://d7y.io/
Github Repo: https://github.com/dragonflyoss/Dragonfly2
Slack Channel: #dragonfly on CNCF Slack
Discussion Group: dragonfly-discuss@googlegroups.com
Twitter: @dragonfly_oss

Nydus Community

Website: https://nydus.dev/
Github Repo: https://github.com/dragonflyoss/image-service
Slack Channel: #nydus

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