Supported tags and respective
Where to file issues:
the Docker Community
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is Redis?
Redis is an open-source, networked, in-memory, key-value data store with optional durability. It is written in ANSI C. The development of Redis is sponsored by Redis Labs today; before that, it was sponsored by Pivotal and VMware. According to the monthly ranking by DB-Engines.com, Redis is the most popular key-value store. The name Redis means REmote DIctionary Server.
How to use this image
start a redis instance
$ docker run --name some-redis -d redis
This image includes
EXPOSE 6379 (the redis port), so standard container linking will make it automatically available to the linked containers (as the following examples illustrate).
start with persistent storage
$ docker run --name some-redis -d redis redis-server --appendonly yes
If persistence is enabled, data is stored in the
VOLUME /data, which can be used with
--volumes-from some-volume-container or
-v /docker/host/dir:/data (see docs.docker volumes).
For more about Redis Persistence, see http://redis.io/topics/persistence.
connect to it from an application
$ docker run --name some-app --link some-redis:redis -d application-that-uses-redis
... or via
$ docker run -it --link some-redis:redis --rm redis redis-cli -h redis -p 6379
Additionally, If you want to use your own redis.conf ...
You can create your own Dockerfile that adds a redis.conf from the context into /data/, like so.
FROM redis COPY redis.conf /usr/local/etc/redis/redis.conf CMD [ "redis-server", "/usr/local/etc/redis/redis.conf" ]
Alternatively, you can specify something along the same lines with
docker run options.
$ docker run -v /myredis/conf/redis.conf:/usr/local/etc/redis/redis.conf --name myredis redis redis-server /usr/local/etc/redis/redis.conf
/myredis/conf/ is a local directory containing your
redis.conf file. Using this method means that there is no need for you to have a Dockerfile for your redis container.
This variant is not a 32bit image (and will not run on 32bit hardware), but includes Redis compiled as a 32bit binary, especially for users who need the decreased memory requirements associated with that. See "Using 32 bit instances" in the Redis documentation for more information.
redis images come in many flavors, each designed for a specific use case.
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.
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 highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn't have an issue with this, so this variant is usually a very safe choice. 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
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).
This image is based on Windows Server Core (
microsoft/windowsservercore). As such, it only works in places which that image does, such as Windows 10 Professional/Enterprise (Anniversary Edition) or Windows Server 2016.
For information about how to get Docker running on Windows, please see the relevant "Quick Start" guide provided by Microsoft:
View license information for the software contained in this image.
how to expose port 6379 to be accessible from windows?
I've tried "docker run --name some-redis -d redis -p 6379:6379" but still can't telnet the port from windows 10
@schmunk42 & @sunnyandpj
just use redis-server --requirepass <password>
command: redis-server --requirepass redis
remove the deamonize parameter from the config file
It appears that the docker-entrypoint.sh inserts the
--protected-mode no before any arguments, when command is
redis4_1 | FATAL CONFIG FILE ERROR
redis4_1 | Reading the configuration file, at line 2
redis4_1 | >>> 'protected-mode "no" "/data/redis.conf"'
redis4_1 | Bad directive or wrong number of arguments
redis3_1 | FATAL CONFIG FILE ERROR
redis3_1 | Reading the configuration file, at line 2
redis3_1 | >>> 'protected-mode "no" "/data/redis.conf"'
redis3_1 | Bad directive or wrong number of arguments
redisdockerfile_redis4_1 exited with code 1
redisdockerfile_redis3_1 exited with code 1
➜ redisDockerFile cat docker-compose.yml
command: redis-server /data/redis.conf
command: redis-server /data/redis.conf
it doesn't work with volumes
With the newest version (3.2.0) tag:latest and tag:alpine (I haven't tried the others), I constantly get the error message:
Creating Server TCP listening socket *:6379: unable to bind socket
To the guy talking about reduction in throughput: the tests demonstrating such reductions are from the host to the container, meaning they're not going over NIC. They've got comparisons for multi-gigabyte traffic (1GB = 8Gbit) showing hundreds of thousands of requests handled per second.
I daresay your physical network will be your bottleneck in production, both in front of a host application using Redis (i.e. container-to-container caching for a network-accessible application) and as a Redis host. This might change if your network is 8Gbit and making 250,000 Redis queries per second.
how to connect to remote redis with host and passowrd
Since Redis is uber fast, docker's networking layer becomes a bottleneck and will affect performance significantly (about a 50% reduction in throughput). You can avoid this issue by using the host networking by starting your container with --net=host (please read about this since it has some safety repercussions).