Closed cmays20 closed 4 years ago
Docker 17.05 has reached end of life in June; are you still seeing this issue on a current version of Docker?
Due to some compatibility with one of our docker orchestration tool that we are using to manage containers ,so we can not go with latest version. We are planning to downgrade to docker 1.13 ,so is this issue ever appeared in docker 1.13 ?.
Do you know what the incompatibilities are? Note that older API versions are supported by every release, so (e.g) the current docker release has full compatibility for every older API version (up until Docker 1.0)
Also, because of that, it's possible to run an up-to-date Docker Engine (dockerd
), but use an older version of the CLI; the CLI will perform API-version negotiation, so a docker 1.13
or docker 17.03
CLI can work with a Docker 17.09 daemon
@cubfan20 have you used docker cp
? we have the same problem with using docker cp
to copy file into container, and after we do not use docker cp
, problem ok!
In my case with Debian, I couldn't even stop a container, always I get this message, and restart of docker service didn't work. In my /etc/docker/daemon.json I have added the live-restore option, I delete it and restat docker service and everithing went ok again. So, check daemon configuration. Hope this helps :)
closing, as this went stale
Description One of our system engineers was going to debug a container, and noticed he couldn't exec into it. We then tried to exec into any container on the machine, and we found that none of them could be exec'd into. We use Mesosphere DC/OS for container orchestration. We have seen this issue in the past but have always had to resort to just bouncing the daemon. Let me know what other info is needed.
Steps to reproduce the issue: We don't know how to reproduce as it seems like it just started to happen.
Describe the results you received:
Describe the results you expected:
Additional information you deem important (e.g. issue happens only occasionally): We have seen this issue happen in the past without any clear pattern. We do know that restarting the docker daemon does resolve this, however in a production environment where we have 50 containers running we don't want to have to resort to that.
Output of
docker version
:Output of
docker info
:Additional environment details (AWS, VirtualBox, physical, etc.): The machines are bare metal in our datacenter