Docker Redis container getting WARNING: /proc/sys/net/core/somaxconn in a user defined network

Hey guys I’m having a really hard time with this one and I need help. I need to run a Redis container on a user defined network and assign it a static ip so I have this:
docker run -v /root/test/:/data/ -p 7001:7001 --net iso_nw --ip 172.18.0.2 --name testy -d redis redis-server /data/redis.conf
This causes my Redis instance to display the TCP backlog warning:

WARNING: The TCP backlog setting of 65536 cannot be enforced because /proc/sys/net/core/somaxconn is set to the lower value of 128.

  • How to run Kafka with Docker on OS X?
  • DOCKER manifest unknown: manifest unknown
  • How to deploy multiple docker.io containers in one host?
  • Does all running docker containers have a separate process ID
  • Docker run command overhead
  • Node cannot join Swarm Cluster
  • My brain is fried trying to make this warning go away without using --net host. Can someone help me please. Thanks.

  • docker run registry error 301 response missing Location header
  • Docker.IO Filesystem Consistancy
  • Deploy to JBoss from Docker Jenkins Container
  • Which platform is mostly used in production servers to develop and deploy “application services” [closed]
  • How to run docker containers on different machines
  • Docker container shutdown script
  • One Solution collect form web for “Docker Redis container getting WARNING: /proc/sys/net/core/somaxconn in a user defined network”

    I figured it out. Ok first the TCP backlog setting that I’m trying to use is invalid. The max allowed value is 65535 which is a short unsigned int, so I updated my Redis config with this value.

    Now I can run the container by loading /proc/ as a writable volume and echo the value:

    docker run -v /root/test/:/data/ -v /proc/:/wproc/ -p 7001:7001 --net iso_nw --ip 172.18.0.2 --name testy -d redis echo 65535 > /wproc/sys/net/core/somaxconn && redis-server /data/redis.conf
    
    Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.