An HTTPS Proxy for Docker providing centralized configuration and caching of any registry (quay.io, DockerHub, k8s.gcr.io)
 
 
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Ales Nosek fcf8fc1ca2 Mitmproxy won't start due to soft_unicode removed from markupsafe
After building the debug image and trying to run it, the mitproxy
would fail to start:

Traceback (most recent call last):
  File "/usr/bin/mitmweb", line 8, in <module>
    sys.exit(mitmweb())
  File "/usr/lib/python3.8/site-packages/mitmproxy/tools/_main.py", line 172, in mitmweb
    from mitmproxy.tools import web
  File "/usr/lib/python3.8/site-packages/mitmproxy/tools/web/__init__.py", line 1, in <module>
    from mitmproxy.tools.web import master
  File "/usr/lib/python3.8/site-packages/mitmproxy/tools/web/master.py", line 5, in <module>
    from mitmproxy import addons
  File "/usr/lib/python3.8/site-packages/mitmproxy/addons/__init__.py", line 12, in <module>
    from mitmproxy.addons import onboarding
  File "/usr/lib/python3.8/site-packages/mitmproxy/addons/onboarding.py", line 2, in <module>
    from mitmproxy.addons.onboardingapp import app
  File "/usr/lib/python3.8/site-packages/mitmproxy/addons/onboardingapp/__init__.py", line 3, in <module>
    from flask import Flask, render_template
  File "/usr/lib/python3.8/site-packages/flask/__init__.py", line 14, in <module>
    from jinja2 import escape
  File "/usr/lib/python3.8/site-packages/jinja2/__init__.py", line 12, in <module>
    from .environment import Environment
  File "/usr/lib/python3.8/site-packages/jinja2/environment.py", line 25, in <module>
    from .defaults import BLOCK_END_STRING
  File "/usr/lib/python3.8/site-packages/jinja2/defaults.py", line 3, in <module>
    from .filters import FILTERS as DEFAULT_FILTERS  # noqa: F401
  File "/usr/lib/python3.8/site-packages/jinja2/filters.py", line 13, in <module>
    from markupsafe import soft_unicode
ImportError: cannot import name 'soft_unicode' from 'markupsafe' (/usr/lib/python3.8/site-packages/markupsafe/__init__.py)

Fixed the issue by explicitly requiring an older version of MarkupSafe.

The issue is related to:
https://github.com/pallets/markupsafe/issues/282
2022-08-12 19:54:59 +02:00
.github/workflows use GITHUB_TOKEN instead of PAT for ghcr.io publishing 2021-09-03 16:45:36 +02:00
docs release 0.6.1 -- with no breaking changes, hopefully 2020-12-02 15:11:00 +01:00
.dockerignore GitHub Actions: multiarch build, new -debug version, much lighter layers 2020-10-08 01:57:49 +02:00
.gitignore add working docker-compose example, fix #69 2020-12-02 14:51:41 +01:00
Docker-Desktop-Windows.md Instructions for Windows Docker Desktop (#95) 2021-06-23 10:17:32 +02:00
Docker-for-Mac.md Docker for Mac's Proxy GUI is a monster; avoid it by setting ENV directly in LinuxKit config 2020-11-09 16:25:04 +01:00
Dockerfile Mitmproxy won't start due to soft_unicode removed from markupsafe 2022-08-12 19:54:59 +02:00
LICENSE Initial commit 2018-06-27 10:08:18 +02:00
README.md add option to disable request buffering. 2022-01-10 23:17:49 +01:00
create_ca_cert.sh add ca srl param input to openssl command (#66) 2020-12-02 14:57:27 +01:00
entrypoint.sh add option to disable request buffering. 2022-01-10 23:17:49 +01:00
nginx.conf Allow proxying to any destination port number (not 443 only) 2022-08-12 19:54:53 +02:00
nginx.manifest.common.conf 3-tier implementation of manifest caching (#57) 2020-10-30 18:54:10 +01:00
nginx.manifest.stale.conf 3-tier implementation of manifest caching (#57) 2020-10-30 18:54:10 +01:00

README.md

GitHub Workflow Status GitHub tag (latest by date) GitHub Workflow Status Docker Image Size (latest semver) Docker Pulls

TL,DR

A caching proxy for Docker; allows centralised management of (multiple) registries and their authentication; caches images from any registry. Caches the potentially huge blob/layer requests (for bandwidth/time savings), and optionally caches manifest requests ("pulls") to avoid rate-limiting.

NEW: avoiding DockerHub Pull Rate Limits with Caching

Starting November 2nd, 2020, DockerHub will supposedly start rate-limiting pulls, also known as the Docker Apocalypse. The main symptom is Error response from daemon: toomanyrequests: Too Many Requests. Please see https://docs.docker.com/docker-hub/download-rate-limit/ during pulls. Many unknowing Kubernetes clusters will hit the limit, and struggle to configure imagePullSecrets and imagePullPolicy.

Since version 0.6.0, this proxy can be configured with the env var ENABLE_MANIFEST_CACHE=true which provides configurable caching of the manifest requests that DockerHub throttles. You can then fine-tune other parameters to your needs. Together with the possibility to centrally inject authentication (since 0.3x), this is probably one of the best ways to bring relief to your distressed cluster, while at the same time saving lots of bandwidth and time.

Note: enabling manifest caching, in its default config, effectively makes some tags immutable. Use with care. The configuration ENVs are explained in the Dockerfile, relevant parts included below.

# Manifest caching tiers. Disabled by default, to mimick 0.4/0.5 behaviour.
# Setting it to true enables the processing of the ENVs below.
# Once enabled, it is valid for all registries, not only DockerHub.
# The envs *_REGEX represent a regex fragment, check entrypoint.sh to understand how they're used (nginx ~ location, PCRE syntax).
ENV ENABLE_MANIFEST_CACHE="false"

# 'Primary' tier defaults to 10m cache for frequently used/abused tags.
# - People publishing to production via :latest (argh) will want to include that in the regex
# - Heavy pullers who are being ratelimited but don't mind getting outdated manifests should (also) increase the cache time here
ENV MANIFEST_CACHE_PRIMARY_REGEX="(stable|nightly|production|test)"
ENV MANIFEST_CACHE_PRIMARY_TIME="10m"

# 'Secondary' tier defaults any tag that has 3 digits or dots, in the hopes of matching most explicitly-versioned tags.
# It caches for 60d, which is also the cache time for the large binary blobs to which the manifests refer.
# That makes them effectively immutable. Make sure you're not affected; tighten this regex or widen the primary tier.
ENV MANIFEST_CACHE_SECONDARY_REGEX="(.*)(\d|\.)+(.*)(\d|\.)+(.*)(\d|\.)+"
ENV MANIFEST_CACHE_SECONDARY_TIME="60d"

# The default cache duration for manifests that don't match either the primary or secondary tiers above.
# In the default config, :latest and other frequently-used tags will get this value.
ENV MANIFEST_CACHE_DEFAULT_TIME="1h"

What?

Essentially, it's a man in the middle: an intercepting proxy based on nginx, to which all docker traffic is directed using the HTTPS_PROXY mechanism and injected CA root certificates.

The main feature is Docker layer/image caching, including layers served from S3, Google Storage, etc.

As a bonus it allows for centralized management of Docker registry credentials, which can in itself be the main feature, eg in Kubernetes environments.

You configure the Docker clients (err... Kubernetes Nodes?) once, and then all configuration is done on the proxy -- for this to work it requires inserting a root CA certificate into system trusted root certs.

master/:latest is unstable/beta

  • :latest and :latest-debug Docker tag is unstable, built from master, and amd64-only
  • Production/stable is 0.6.2, see 0.6.2 tag on Github - this image is multi-arch amd64/arm64
  • The previous version is 0.5.0, without any manifest caching, see 0.5.0 tag on Github - this image is multi-arch amd64/arm64

Also hosted on GitHub Container Registry (ghcr.io)

  • DockerHub image is at rpardini/docker-registry-proxy:<version>
  • GitHub image is at ghcr.io/rpardini/docker-registry-proxy:<version>
  • Since 0.5.x, they both carry the same images
  • This can be useful if you're already hitting DockerHub's rate limits and can't pull the proxy from DockerHub

Usage (running the Proxy server)

  • Run the proxy on a host close (network-wise: high bandwidth, same-VPC, etc) to the Docker clients
  • Expose port 3128 to the network
  • Map volume /docker_mirror_cache for up to CACHE_MAX_SIZE (32gb by default) of cached images across all cached registries
  • Map volume /ca, the proxy will store the CA certificate here across restarts. Important this is security sensitive.
  • Env ALLOW_PUSH : This bypasses the proxy when pushing, default to false - if kept to false, pushing will not work. For more info see this commit.
  • Env CACHE_MAX_SIZE (default 32g): set the max size to be used for caching local Docker image layers. Use Nginx sizes.
  • Env ENABLE_MANIFEST_CACHE, see the section on pull rate limiting.
  • Env REGISTRIES: space separated list of registries to cache; no need to include DockerHub, its already done internally.
  • Env AUTH_REGISTRIES: space separated list of hostname:username:password authentication info.
    • hostnames listed here should be listed in the REGISTRIES environment as well, so they can be intercepted.
  • Env AUTH_REGISTRIES_DELIMITER to change the separator between authentication info. By default, a space: " ". If you use keys that contain spaces (as with Google Cloud Registry), you should update this variable, e.g. setting it to AUTH_REGISTRIES_DELIMITER=";;;". In that case, AUTH_REGISTRIES could contain something like registry1.com:user1:pass1;;;registry2.com:user2:pass2.
  • Env AUTH_REGISTRY_DELIMITER to change the separator between authentication info parts. By default, a colon: ":". If you use keys that contain single colons, you should update this variable, e.g. setting it to AUTH_REGISTRIES_DELIMITER=":::". In that case, AUTH_REGISTRIES could contain something like registry1.com:::user1:::pass1 registry2.com:::user2:::pass2.
  • Env PROXY_REQUEST_BUFFERING: If push is allowed, buffering requests can cause issues on slow upstreams. If you have trouble pushing, set this to false first, then fix remainig timeouts. Default is true to not change default behavior. ENV PROXY_REQUEST_BUFFERING="true"
  • Timeouts ENVS - all of them can pe specified to control different timeouts, and if not set, the defaults will be the ones from Dockerfile. The directives will be added into http block.:

Simple (no auth, all cache)

docker run --rm --name docker_registry_proxy -it \
       -p 0.0.0.0:3128:3128 -e ENABLE_MANIFEST_CACHE=true \
       -v $(pwd)/docker_mirror_cache:/docker_mirror_cache \
       -v $(pwd)/docker_mirror_certs:/ca \
       rpardini/docker-registry-proxy:0.6.2

DockerHub auth

For Docker Hub authentication:

  • hostname should be auth.docker.io
  • username should NOT be an email, use the regular username
docker run --rm --name docker_registry_proxy -it \
       -p 0.0.0.0:3128:3128 -e ENABLE_MANIFEST_CACHE=true \
       -v $(pwd)/docker_mirror_cache:/docker_mirror_cache \
       -v $(pwd)/docker_mirror_certs:/ca \
       -e REGISTRIES="k8s.gcr.io gcr.io quay.io your.own.registry another.public.registry" \
       -e AUTH_REGISTRIES="auth.docker.io:dockerhub_username:dockerhub_password your.own.registry:username:password" \
       rpardini/docker-registry-proxy:0.6.2

Simple registries auth (HTTP Basic auth)

For regular registry auth (HTTP Basic), the hostname should be the registry itself... unless your registry uses a different auth server.

See the example above for DockerHub, adapt the your.own.registry parts (in both ENVs).

This should work for quay.io also, but I have no way to test.

GitLab auth

GitLab may use a different/separate domain to handle the authentication procedure.

Just like DockerHub uses auth.docker.io, GitLab uses its primary (git) domain for the authentication.

If you run GitLab on git.example.com and its registry on reg.example.com, you need to include both in REGISTRIES and use the primary domain for AUTH_REGISTRIES.

For GitLab.com itself the authentication domain should be gitlab.com.

docker run  --rm --name docker_registry_proxy -it \
       -p 0.0.0.0:3128:3128 -e ENABLE_MANIFEST_CACHE=true \
       -v $(pwd)/docker_mirror_cache:/docker_mirror_cache \
       -v $(pwd)/docker_mirror_certs:/ca \
       -e REGISTRIES="reg.example.com git.example.com" \
       -e AUTH_REGISTRIES="git.example.com:USER:PASSWORD" \
       rpardini/docker-registry-proxy:0.6.2

Google Container Registry (GCR) auth

For Google Container Registry (GCR), username should be _json_key and the password should be the contents of the service account JSON. Check out GCR docs.

The service account key is in JSON format, it contains spaces (" ") and colons (":").

To be able to use GCR you should set AUTH_REGISTRIES_DELIMITER to something different than space (e.g. AUTH_REGISTRIES_DELIMITER=";;;") and AUTH_REGISTRY_DELIMITER to something different than a single colon (e.g. AUTH_REGISTRY_DELIMITER=":::").

Example with GCR using credentials from a service account from a key file servicekey.json:

docker run --rm --name docker_registry_proxy -it \
       -p 0.0.0.0:3128:3128 -e ENABLE_MANIFEST_CACHE=true \
       -v $(pwd)/docker_mirror_cache:/docker_mirror_cache \
       -v $(pwd)/docker_mirror_certs:/ca \
       -e REGISTRIES="k8s.gcr.io gcr.io quay.io your.own.registry another.public.registry" \
       -e AUTH_REGISTRIES_DELIMITER=";;;" \
       -e AUTH_REGISTRY_DELIMITER=":::" \
       -e AUTH_REGISTRIES="gcr.io:::_json_key:::$(cat servicekey.json);;;auth.docker.io:::dockerhub_username:::dockerhub_password" \
       rpardini/docker-registry-proxy:0.6.2

Kind Cluster

Kind is a tool for running local Kubernetes clusters using Docker container “nodes”.

Because cluster nodes are Docker containers, docker-registry-proxy needs to be in the same docker network.

Example joining the kind docker network and using hostname docker-registry-proxy as hostname :

docker run --rm --name docker_registry_proxy -it \
       --net kind --hostname docker-registry-proxy \
       -p 0.0.0.0:3128:3128 -e ENABLE_MANIFEST_CACHE=true \
       -v $(pwd)/docker_mirror_cache:/docker_mirror_cache \
       -v $(pwd)/docker_mirror_certs:/ca \
       rpardini/docker-registry-proxy:0.6.2

Now deploy your Kind cluster and then automatically configure the nodes with the following script :

#!/bin/sh
KIND_NAME=${1-kind}
SETUP_URL=http://docker-registry-proxy:3128/setup/systemd
pids=""
for NODE in $(kind get nodes --name "$KIND_NAME"); do
  docker exec "$NODE" sh -c "\
      curl $SETUP_URL \
      | sed s/docker\.service/containerd\.service/g \
      | sed '/Environment/ s/$/ \"NO_PROXY=127.0.0.0\/8,10.0.0.0\/8,172.16.0.0\/12,192.168.0.0\/16\"/' \
      | bash" & pids="$pids $!" # Configure every node in background
done
wait $pids # Wait for all configurations to end

K3D Cluster

K3d is similar to Kind but is based on k3s. In order to run with its registry you need to setup settings like shown below.

# docker-registry-proxy
docker run -d --name registry-proxy --restart=always \
-v /tmp/registry-proxy/mirror_cache:/docker_mirror_cache \
-v /tmp/registry-proxy/certs:/ca \
rpardini/docker-registry-proxy:0.6.4

export PROXY_HOST=registry-proxy
export PROXY_PORT=3128
export NOPROXY_LIST="localhost,127.0.0.1,0.0.0.0,10.0.0.0/8,172.16.0.0/12,192.168.0.0/16,.local,.svc"

cat <<EOF > /etc/k3d-proxy-config.yaml
apiVersion: k3d.io/v1alpha3
kind: Simple
name: mycluster
servers: 1
agents: 0
options:
    k3d:
       wait: true
       timeout: "60s"
    kubeconfig:
       updateDefaultKubeconfig: true
       switchCurrentContext: true
env:
  - envVar: HTTP_PROXY=http://$PROXY_HOST:$PROXY_PORT
    nodeFilters:
      - all
  - envVar: HTTPS_PROXY=http://$PROXY_HOST:$PROXY_PORT
    nodeFilters:
      - all
  - envVar: NO_PROXY='$NOPROXY_LIST'
    nodeFilters:
      - all
volumes:
  - volume: $REGISTRY_DIR/docker_mirror_certs/ca.crt:/etc/ssl/certs/registry-proxy-ca.pem
    nodeFilters:
      - all
EOF

k3d cluster create --config /etc/k3d-proxy-config.yaml

Configuring the Docker clients using Docker Desktop for Mac

Separate instructions for Mac clients available in this dedicated Doc Desktop for Mac document.

Configuring the Docker clients / Kubernetes nodes / Linux clients

Let's say you setup the proxy on host 192.168.66.72, you can then curl http://192.168.66.72:3128/ca.crt and get the proxy CA certificate.

On each Docker host that is to use the cache:

  • Configure Docker proxy pointing to the caching server
  • Add the caching server CA certificate to the list of system trusted roots.
  • Restart dockerd

Do it all at once, tested on Ubuntu Xenial, Bionic, and Focal, all systemd based:

# Add environment vars pointing Docker to use the proxy
mkdir -p /etc/systemd/system/docker.service.d
cat << EOD > /etc/systemd/system/docker.service.d/http-proxy.conf
[Service]
Environment="HTTP_PROXY=http://192.168.66.72:3128/"
Environment="HTTPS_PROXY=http://192.168.66.72:3128/"
EOD

### UBUNTU
# Get the CA certificate from the proxy and make it a trusted root.
curl http://192.168.66.72:3128/ca.crt > /usr/share/ca-certificates/docker_registry_proxy.crt
echo "docker_registry_proxy.crt" >> /etc/ca-certificates.conf
update-ca-certificates --fresh
###

### CENTOS
# Get the CA certificate from the proxy and make it a trusted root.
curl http://192.168.66.72:3128/ca.crt > /etc/pki/ca-trust/source/anchors/docker_registry_proxy.crt
update-ca-trust
###

# Reload systemd
systemctl daemon-reload

# Restart dockerd
systemctl restart docker.service

Testing

Clear dockerd of everything not currently running: docker system prune -a -f beware

Then do, for example, docker pull k8s.gcr.io/kube-proxy-amd64:v1.10.4 and watch the logs on the caching proxy, it should list a lot of MISSes.

Then, clean again, and pull again. You should see HITs! Success.

Do the same for docker pull ubuntu and rejoice.

Test your own registry caching and authentication the same way; you don't need docker login, or .docker/config.json anymore.

Developing/Debugging

Since 0.4 there is a separate -debug version of the image, which includes nginx-debug, and (since 0.5.x) has a mitmproxy (actually mitmweb) inserted after the CONNECT proxy but before the caching logic, and a second mitmweb between the caching layer and DockerHub. This allows very in-depth debugging. Use sparingly, and definitely not in production.

docker run --rm --name docker_registry_proxy -it 
       -e DEBUG_NGINX=true -e DEBUG=true -e DEBUG_HUB=true -p 0.0.0.0:8081:8081 -p 0.0.0.0:8082:8082 \
       -p 0.0.0.0:3128:3128 -e ENABLE_MANIFEST_CACHE=true \
       -v $(pwd)/docker_mirror_cache:/docker_mirror_cache \
       -v $(pwd)/docker_mirror_certs:/ca \
       rpardini/docker-registry-proxy:0.6.2-debug
  • DEBUG=true enables the mitmweb proxy between Docker clients and the caching layer, accessible on port 8081
  • DEBUG_HUB=true enables the mitmweb proxy between the caching layer and DockerHub, accessible on port 8082 (since 0.5.x)
  • DEBUG_NGINX=true enables nginx-debug and debug logging, which probably is too much. Seriously.

Gotchas

  • If you authenticate to a private registry and pull through the proxy, those images will be served to any client that can reach the proxy, even without authentication. beware
  • Repeat, this will make your private images very public if you're not careful.
  • Currently you cannot push images while using the proxy which is a shame. PRs welcome. SEE ALLOW_PUSH ENV FROM USAGE SECTION.
  • Setting this on Linux is relatively easy.
    • On Mac follow the instructions here.
    • On Windows follow the instructions here.

Why not use Docker's own registry, which has a mirror feature?

Yes, Docker offers Registry as a pull through cache, unfortunately it only covers the DockerHub case. It won't cache images from quay.io, k8s.gcr.io, gcr.io, or any such, including any private registries.

That means that your shiny new Kubernetes cluster is now a bandwidth hog, since every image will be pulled from the Internet on every Node it runs on, with no reuse.

This is due to the way the Docker "client" implements --registry-mirror, it only ever contacts mirrors for images with no repository reference (eg, from DockerHub). When a repository is specified dockerd goes directly there, via HTTPS (and also via HTTP if included in a --insecure-registry list), thus completely ignoring the configured mirror.

Docker itself should provide this.

Yeah. Docker Inc should do it. So should NPM, Inc. Wonder why they don't. 😼

TODO:

  • Basic Docker-for-Mac set-up instructions
  • Basic Docker-for-Windows set-up instructions.
  • Test and make auth work with quay.io, unfortunately I don't have access to it (hint, hint, quay)
  • Hide the mitmproxy building code under a Docker build ARG.
  • "Developer Office" proxy scenario, where many developers on a fast LAN share a proxy for bandwidth and speed savings (already works for pulls, but messes up pushes, which developers tend to use a lot)