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README-short.txt
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README.md

Supported tags and respective Dockerfile links

For more information about this image and its history, please see the relevant manifest file (library/memcached) in the docker-library/official-images GitHub repo.

What is Memcached?

Memcached is a general-purpose distributed memory caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read.

Memcached's APIs provide a very large hash table distributed across multiple machines. When the table is full, subsequent inserts cause older data to be purged in least recently used order. Applications using Memcached typically layer requests and additions into RAM before falling back on a slower backing store, such as a database.

wikipedia.org/wiki/Memcached

How to use this image

docker run --name my-memcache -d memcached

Start your memcached container with the above command and then you can connect you app to it with standard linking:

docker run --link my-memcache:memcache -d my-app-image

The memcached server information would then be available through the ENV variables generated by the link as well as through DNS as memcache from /etc/hosts.

For infomation on configuring your memcached server, see the extensive wiki.

License

View license information for the software contained in this image.

Supported Docker versions

This image is officially supported on Docker version 1.4.1.

Support for older versions (down to 1.0) is provided on a best-effort basis.

User Feedback

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue.

You can also reach many of the official image maintainers via the #docker-library IRC channel on Freenode.

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.