README.md 8.7 KB

Quick reference

Supported tags and respective Dockerfile links

Quick reference (cont.)

What is Varnish?

Varnish is an HTTP accelerator designed for content-heavy dynamic web sites as well as APIs. In contrast to other web accelerators, such as Squid, which began life as a client-side cache, or Apache and nginx, which are primarily origin servers, Varnish was designed as an HTTP accelerator. Varnish is focused exclusively on HTTP, unlike other proxy servers that often support FTP, SMTP and other network protocols.

wikipedia.org/wiki/Varnish_(software)

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How to use this image.

Basic usage

Create a default.vcl file:

vcl 4.0;

backend default {
  .host = "www.nytimes.com:80";
}

Then run:

# we need both a configuration file at /etc/varnish/default.vcl
# and our workdir to be mounted as tmpfs to avoid disk I/O
$ docker run -v /path/to/default.vcl:/etc/varnish/default.vcl:ro --tmpfs /var/lib/varnish:exec varnish

Alternatively, a simple Dockerfile can be used to generate a new image that includes the necessary default.vcl (which is a much cleaner solution than the bind mount above):

FROM varnish

COPY default.vcl /etc/varnish/

Place this file in the same directory as your default.vcl, run docker build -t my-varnish ., then start your container:

$ docker --tmpfs /var/lib/varnish:exec my-varnish

Reloading the configuration

The images all ship with varnishreload which allows you to easily update the running configuration without restarting the container (and therefore losing your cache). At its most basic, you just need this:

# update the default.vcl in your container
docker cp new_default.vcl running_container:/etc/varnish/default.vcl
# run varnishreload
docker exec running_container varnishreload

Note that varnishreload also supports reloading other files (it doesn't have to be default.vcl), labels (l), and garbage collection of old labeles (-m) among others. To know more, run

docker run varnish varnishreload -h

Additional configuration

By default, the containers will use a cache size of 100MB, which is usually a bit too small, but you can quickly set it through the VARNISH_SIZE environment variable:

$ docker run --tmpfs /var/lib/varnish:exec -e VARNISH_SIZE=2G varnish

Additionally, you can add arguments to docker run affter varnish, if the first one starts with a -, they will be appendend to the default command:

# extend the default keep period
$ docker run --tmpfs /var/lib/varnish:exec -e VARNISH_SIZE=2G varnish -p default_keep=300

If your first argument after varnish doesn't start with -, it will be interpreted as a command to override the default one:

# show the command-line options
$ docker run varnish varnishd -?

# list parameters usable with -p
$ docker run varnish varnishd -x parameter

# run the server with your own parameters (don't forget -F to not daemonize)
$ docker run varnish varnishd -a :8080 -b 127.0.0.1:8181 -t 600 -p feature=+http2

Exposing the port

+$ docker run --name my-running-varnish --tmpfs /var/lib/varnish:exec -d -p 8080:80 my-varnish

Then you can hit http://localhost:8080 or http://host-ip:8080 in your browser.

Image Variants

The varnish images come in many flavors, each designed for a specific use case.

varnish:<version>

This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of.

varnish:<version>-alpine

This image is based on the popular Alpine Linux project, available in the alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.

This variant is useful when final image size being as small as possible is your primary concern. The main caveat to note is that it does use musl libc instead of glibc and friends, so software will often run into issues depending on the depth of their libc requirements/assumptions. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.

To minimize image size, it's uncommon for additional related tools (such as git or bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the alpine image description for examples of how to install packages if you are unfamiliar).

License

View license information for the software contained in this image.

As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).

Some additional license information which was able to be auto-detected might be found in the repo-info repository's varnish/ directory.

As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.