Metadata-Version: 1.1
Name: docker-registry
Version: 0.7.1
Summary: Registry server for Docker
Home-page: https://github.com/dotcloud/docker-registry
Author: Docker Registry Contributors
Author-email: docker-dev@googlegroups.com
License: 
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                        http://www.apache.org/licenses/

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Description: Docker-Registry
        ===============
        
        [![Build Status](https://travis-ci.org/dotcloud/docker-registry.png)](https://travis-ci.org/dotcloud/docker-registry)
        
        About this document
        ===================
        
        As the documentation evolves with different registry versions, be sure that before reading any further you do:
        
         * check which version of the registry you are running
         * switch to the corresponding tag to access the README that matches your product version
        
        The stable, released version is currently the [0.7.1 tag](https://github.com/dotcloud/docker-registry/tree/0.7.1).
        
        
        Quick start
        ===========
        
        The fastest way to get running:
        
         * install docker according to the [following instructions](http://docs.docker.io/installation/#installation)
         * run the registry: `docker run -p 5000:5000 registry`
        
        That will use the
        [official image from the Docker index](https://index.docker.io/_/registry/).
        
        Here is another example that will launch a container on port 5000, and store images in an Amazon S3 bucket:  
        ```
        docker run \
                 -e SETTINGS_FLAVOR=s3 \
                 -e AWS_BUCKET=acme-docker \
                 -e STORAGE_PATH=/registry \
                 -e AWS_KEY=AKIAHSHB43HS3J92MXZ \
                 -e AWS_SECRET=xdDowwlK7TJajV1Y7EoOZrmuPEJlHYcNP2k4j49T \
                 -e SEARCH_BACKEND=sqlalchemy \
                 -p 5000:5000 \
                 registry
        ```
        
        See [config_sample.yml](config/config_sample.yml) for all available environment variables.
        
        Create the configuration
        ========================
        
        The Docker Registry comes with a sample configuration file,
        `config_sample.yml`. Copy this to `config.yml` to provide a basic
        configuration:
        
        ```
        cp config/config_sample.yml config/config.yml
        ```
        
        Configuration flavors
        =====================
        
        Docker Registry can run in several flavors. This enables you to run it
        in development mode, production mode or your own predefined mode.
        
        In the `config_sample.yml` file, you'll see several sample flavors:
        
        1. `common`: used by all other flavors as base settings
        1. `local`: stores data on the local filesystem
        1. `s3`: stores data in an AWS S3 bucket
        1. `dev`: basic configuration using the `local` flavor
        1. `test`: used by unit tests
        1. `prod`: production configuration (basically a synonym for the `s3` flavor)
        1. `gcs`: stores data in Google cloud storage
        1. `swift`: stores data in OpenStack Swift
        1. `glance`: stores data in OpenStack Glance, with a fallback to local storage
        1. `glance-swift`: stores data in OpenStack Glance, with a fallback to Swift
        1. `elliptics`: stores data in Elliptics key/value storage
        
        You can define your own flavors by adding a new top-level yaml key.
        
        You can specify which flavor to run by setting `SETTINGS_FLAVOR` in your
        environment: `export SETTINGS_FLAVOR=dev`
        
        The default flavor is `dev`.
        
        NOTE: it's possible to load environment variables from the config file
        with a simple syntax: `_env:VARIABLENAME[:DEFAULT]`. Check this syntax
        in action in the example below...
        
        
        #### Example config
        
        ```yaml
        
        common:
            loglevel: info
            search_backend: "_env:SEARCH_BACKEND:"
            sqlalchemy_index_database:
                "_env:SQLALCHEMY_INDEX_DATABASE:sqlite:////tmp/docker-registry.db"
        
        prod:
            loglevel: warn
            storage: s3
            s3_access_key: _env:AWS_S3_ACCESS_KEY
            s3_secret_key: _env:AWS_S3_SECRET_KEY
            s3_bucket: _env:AWS_S3_BUCKET
            boto_bucket: _env:AWS_S3_BUCKET
            storage_path: /srv/docker
            smtp_host: localhost
            from_addr: docker@myself.com
            to_addr: my@myself.com
        
        dev:
            loglevel: debug
            storage: local
            storage_path: /home/myself/docker
        
        test:
            storage: local
            storage_path: /tmp/tmpdockertmp
        ```
        
        
        Location of the config file
        ===========================
        
        ### DOCKER_REGISTRY_CONFIG
        
        Specify the config file to be used by setting `DOCKER_REGISTRY_CONFIG` in your
        environment: `export DOCKER_REGISTRY_CONFIG=config.yml`
        
        The default location of the config file is `config.yml`, located in
        the `config` subdirectory.  If `DOCKER_REGISTRY_CONFIG` is a relative
        path, that path is expanded relative to the `config` subdirectory.
        
        ### Docker image
        When building an image using the Dockerfile or using an image from the
        [Docker index](https://index.docker.io/_/registry/), the default config is
        `config_sample.yml`.
        
        It is also possible to mount the configuration file into the docker image
        
        ```
        sudo docker run -p 5000:5000 -v /home/user/registry-conf:/registry-conf -e DOCKER_REGISTRY_CONFIG=/registry-conf/config.yml registry
        ```
        
        Available configuration options
        ===============================
        
        When using the `config_sample.yml`, you can pass all options through as environment variables. See [`config_sample.yml`](config/config_sample.yml) for the mapping.
        
        ## General options
        
        1. `loglevel`: string, level of debugging. Any of python's
           [logging](http://docs.python.org/2/library/logging.html) module levels:
           `debug`, `info`, `warn`, `error` or `critical`
        1. `storage_redirect`: Redirect resource requested if storage engine supports
           this, e.g. S3 will redirect signed URLs, this can be used to offload the
           server.
        1. `boto_host`/`boto_port`: If you are using `storage: s3` the
           [standard boto config file locations](http://docs.pythonboto.org/en/latest/boto_config_tut.html#details)
           (`/etc/boto.cfg, ~/.boto`) will be used.  If you are using a
           *non*-Amazon S3-compliant object store, in one of the boto config files'
           `[Credentials]` section, set `boto_host`, `boto_port` as appropriate for the
           service you are using.
        1. `bugsnag`: The bugsnag API key
        
        ### Authentication options
        
        1. `standalone`: boolean, run the server in stand-alone mode. This means that
           the Index service on index.docker.io will not be used for anything. This
           implies `disable_token_auth`.
        
        1. `index_endpoint`: string, configures the hostname of the Index endpoint.
           This is used to verify passwords of users that log in. It defaults to
           https://index.docker.io. You should probably leave this to its default.
        
        1. `disable_token_auth`: boolean, disable checking of tokens with the Docker
           index. You should provide your own method of authentication (such as Basic
           auth).
        
        #### Privileged access
        
        1. `privileged_key`: allows you to make direct requests to the registry by using
           an RSA key pair. The value is the path to a file containing the public key.
           If it is not set, privileged access is disabled.
        
        ##### Generating keys with `openssl`
        
        You will need to install the python-rsa package (`pip install rsa`) in addition to using `openssl`.
        Generating the public key using openssl will lead to producing a key in a format not supported by 
        the RSA library the registry is using.
        
        Generate private key:
        
            openssl genrsa  -out private.pem 2048
        
        Associated public key :
        
            pyrsa-priv2pub -i private.pem -o public.pem
        
        
        ### Search-engine options
        
        The Docker Registry can optionally index repository information in a
        database for the `GET /v1/search` [endpoint][search-endpoint].  You
        can configure the backend with a configuration like:
        
        The `search_backend` setting selects the search backend to use.  If
        `search_backend` is empty, no index is built, and the search endpoint always
        returns empty results.  
        
        1. `search_backend`: The name of the search backend engine to use.
           Currently supported backends are:
           1. `sqlalchemy`
        
        
        If `search_backend` is neither empty nor one of the supported backends, it
        should point to a module.
        
        Example:
        
        ```yaml
        common:
          search_backend: foo.registry.index.xapian
        ```
        
        #### sqlalchemy
        
        1. `sqlalchemy_index_database`: The database URL
        
        Example:
        
        ```yaml
        common:
          search_backend: sqlalchemy
          sqlalchemy_index_database: sqlite:////tmp/docker-registry.db
        ```
        
        
        In this case, the module is imported, and an instance of it's `Index`
        class is used as the search backend.
        
        ### Mirroring Options
        
        All mirror options are placed in a `mirroring` section.
        
        1. `mirroring`:
          1. `source`:
          1. `source_index`:
          1. `tags_cache_ttl`:
        
        Example:
        
        ```yaml
        common:
          mirroring:
            source: https://registry-1.docker.io
            source_index: https://index.docker.io
            tags_cache_ttl: 864000 # 10 days
        ```
        
        ### Cache options
        
        It's possible to add an LRU cache to access small files. In this case you need
        to spawn a [redis-server](http://redis.io/) configured in
        [LRU mode](http://redis.io/topics/config). The config file "config_sample.yml"
        shows an example to enable the LRU cache using the config directive `cache_lru`.
        
        Once this feature is enabled, all small files (tags, meta-data) will be cached
        in Redis. When using a remote storage backend (like Amazon S3), it will speeds
        things up dramatically since it will reduce roundtrips to S3.
        
        All config settings are placed in a `cache` or `cache_lru` section.
        
        1. `cache`/`cache_lru`:
          1. `host`: Host address of server
          1. `port`: Port server listens on
          1. `password`: Authentication password
        
        
        ### Email options
        
        Settings these options makes the Registry send an email on each code Exception:
        
        1. `email_exceptions`:
          1. `smtp_host`: hostname to connect to using SMTP
          1. `smtp_port`: port number to connect to using SMTP
          1. `smtp_login`: username to use when connecting to authenticated SMTP
          1. `smtp_password`: password to use when connecting to authenticated SMTP
          1. `smtp_secure`: boolean, true for TLS to using SMTP. this could be a path
                            to the TLS key file for client authentication.
          1. `from_addr`: email address to use when sending email
          1. `to_addr`: email address to send exceptions to
        
        Example:
        
        ```yaml
        test:
            email_exceptions:
                smtp_host: localhost
        ```
        
        ## Storage options
        
        `storage` selects the storage engine to use. The registry ships with two storage engine by default (`file` and `s3`).
        
        If you want to find other (community provided) storages: `pip search docker-registry-driver`
        
        To use and install one of these alternate storages:
        
         * `pip install docker-registry-driver-NAME`
         * in the configuration set `storage` to `NAME`
         * add any other storage dependent configuraiton option to the conf file
         * review the storage specific documentation for additional dependency or configuration instructions.
        
         Currently, we are aware of the following storage driver:
        
          * [elliptics](https://github.com/noxiouz/docker-registry-driver-elliptics)
          * [swift](https://github.com/bacongobbler/docker-registry-driver-swift)
          * [gcs](https://github.com/dmp42/docker-registry-driver-gcs)
          * [glance](https://github.com/dmp42/docker-registry-driver-glance)
        
        ### storage: file
        
        1. `storage_path`: Path on the filesystem where to store data
        
        Example:
        
        ```yaml
        local:
          storage: file
          storage_path: /mnt/registry
        ```
        
        #### Persistent storage
        If you use any type of local store along with a registry running within a docker
        remember to use a data volume for the `storage_path`. Please read the documentation
        for [data volumes](http://docs.docker.io/en/latest/use/working_with_volumes/) for more information.
        
        Example:
        
        ```
        docker run -p 5000 -v /tmp/registry:/tmp/registry registry
        ```
        
        ### storage: s3
        AWS Simple Storage Service options
        
        1. `s3_access_key`: string, S3 access key
        1. `s3_secret_key`: string, S3 secret key
        1. `s3_bucket`: string, S3 bucket name
        1. `s3_region`: S3 region where the bucket is located
        1. `s3_encrypt`: boolean, if true, the container will be encrypted on the
              server-side by S3 and will be stored in an encrypted form while at rest
              in S3.
        1. `s3_secure`: boolean, true for HTTPS to S3
        1. `boto_bucket`: string, the bucket name
        1. `storage_path`: string, the sub "folder" where image data will be stored.
        
        Example:
        ```yaml
        prod:
          storage: s3
          s3_region: us-west-1
          s3_bucket: acme-docker
          storage_path: /registry
          s3_access_key: AKIAHSHB43HS3J92MXZ
          s3_secret_key: xdDowwlK7TJajV1Y7EoOZrmuPEJlHYcNP2k4j49T
        ```
        
        Run the Registry
        ----------------
        
        ### Recommended: run the registry docker container
        
         * install docker according to the [following instructions](http://docs.docker.io/installation/#installation)
         * run the registry: `docker run -p 5000:5000 registry`
        
        or
        
        ```
        docker run \
                 -e SETTINGS_FLAVOR=s3 \
                 -e AWS_BUCKET=acme-docker \
                 -e STORAGE_PATH=/registry \
                 -e AWS_KEY=AKIAHSHB43HS3J92MXZ \
                 -e AWS_SECRET=xdDowwlK7TJajV1Y7EoOZrmuPEJlHYcNP2k4j49T \
                 -e SEARCH_BACKEND=sqlalchemy \
                 -p 5000:5000 \
                 registry
        ```
        
        NOTE: The container will try to allocate the port 5000. If the port
        is already taken, find out which container is already using it by running `docker ps`
        
        ### Advanced: install the registry on an existing server
        
        #### On Ubuntu
        
        Install the system requirements for building a Python library:
        
        ```
        sudo apt-get install build-essential python-dev libevent-dev python-pip liblzma-dev
        ```
        
        Then install the Registry app:
        
        ```
        sudo pip install docker-registry
        ```
        
        (or clone the repository and `pip install .`)
        
        #### On Red Hat-based systems:
        
        Install the required dependencies:
        ```
        sudo yum install python-devel libevent-devel python-pip gcc xz-devel
        ```
        
        NOTE: On RHEL and CentOS you will need the
        [EPEL](http://fedoraproject.org/wiki/EPEL) repostitories enabled. Fedora
        should not require the additional repositories.
        
        Then install the Registry app:
        
        ```
        sudo python-pip install docker-registry
        ```
        
        (or clone the repository and `pip install .`)
        
        #### Run it
        
        ```
        gunicorn --access-logfile - --debug -k gevent -b 0.0.0.0:5000 -w 1 docker_registry.wsgi:application
        ```
        
        ### How do I setup user accounts?
        
        The first time someone tries to push to your registry, it will prompt
        them for a username, password, and email.
        
        ### What about a Production environment?
        
        The recommended setting to run the Registry in a prod environment is gunicorn
        behind a nginx server which supports chunked transfer-encoding (nginx >= 1.3.9).
        
        You could use for instance supervisord to spawn the registry with 8 workers
        using this command:
        
        ```
        gunicorn -k gevent --max-requests 100 --graceful-timeout 3600 -t 3600 -b localhost:5000 -w 8 docker_registry.wsgi:application
        ```
        
        #### nginx
        
        [Here is an nginx configuration file example.](https://github.com/dotcloud/docker-registry/blob/master/contrib/nginx.conf), which applies to versions < 1.3.9 which are compiled with the [HttpChunkinModule](http://wiki.nginx.org/HttpChunkinModule). 
        
        [This is another example nginx configuration file](https://github.com/dotcloud/docker-registry/blob/master/contrib/nginx_1-3-9.conf) that applies to versions of nginx greater than 1.3.9 that have support for the chunked_transfer_encoding directive.
        
        And you might want to add
        [Basic auth on Nginx](http://wiki.nginx.org/HttpAuthBasicModule) to protect it
        (if you're not using it on your local network):
        
        
        #### Apache
        
        Enable mod_proxy using `a2enmod proxy_http`, then use this snippet forward
        requests to the Docker Registry:
        
        ```
          ProxyPreserveHost  On
          ProxyRequests      Off
          ProxyPass          /  http://localhost:5000/
          ProxyPassReverse   /  http://localhost:5000/
        ```
        
        
        #### dotCloud
        
        The central Registry runs on the dotCloud platform:
        
        ```
        cd docker-registry/
        dotcloud create myregistry
        dotcloud push
        ```
        
        For developers
        --------------
        
        Read CONTRIBUTE.md
        
Platform: Independent
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
