Kubernetes In Docker For Mac Container Exec Start Container Exec Die

Having problems with kind? This guide is covers some known problems and solutions / workarounds.

It may additionally be helpful to:

CentOS Chef Debian Fedora Heroku Mac OS X Puppet Red Hat SUSE Ubuntu Windows From Source. The Datadog Docker Agent is the containerized version of the host Agent. DOCKERCONTENTTRUST=1 docker run -d -v. Datadog excludes Kubernetes and OpenShift pause containers by default.

  • check our issue tracker
  • file an issue (if there isn't one already)
  • reach out and ask for help in #kind on the kubernetes slack

Contents ๐Ÿ”—๏ธŽ

Kubectl Version Skew ๐Ÿ”—๏ธŽ

You may have problems interacting with your kind cluster if your client(s) areskewed too far from the kind node version. Kubernetes only supports limited skewbetween clients and the API server.

This is a issue that frequently occurs when running kind alongside Docker For Mac.

This problem is related to a bug in docker on macOS

If you see something like the following error message:

You can check your client and server versions by running:

If there is a mismatch between the server and client versions, you should install a newer client version.

If you are using Mac, you can install kubectl via homebrew by running:

And overwrite the symlinks created by Docker For Mac by running:

Older Docker Installations ๐Ÿ”—๏ธŽ

kind is known to have issues with Kubernetes 1.13 or lower when using Docker versions:

  • 1.13.1 (released January 2017)
  • 17.05.0-ce (released May 2017)

And possibly other old versions of Docker.

With these versions you must use Kubernetes >= 1.14, or more ideally upgrade Docker instead.

kind is tested with a recent stable docker-ce release.

Docker on Btrfs or ZFS ๐Ÿ”—๏ธŽ

kind cannot run properly if containers on your machine / host are backed by aBtrfs or ZFSfilesystem.

This should only be relevant on Linux, on which you can check with:

As a workaround, you'll need to ensure that the storage driver is one that works.Docker's default of overlay2 is a good choice, but aufs should also work.

You can set the storage driver with the following configuration in /etc/docker/daemon.json:

After restarting the Docker daemon you should see that Docker is now using the overlay2 storage driver instead of btrfs.

NOTE: You'll need to make sure the backing filesystem is not btrfs / ZFS as well,which may require creating a partition on your host disk with a suitable filesystem and ensuring Docker'sdata root is on this (by default /var/lib/docker). Ext4 is a reasonable choice.

Docker Installed with Snap ๐Ÿ”—๏ธŽ

If you installed Docker with snap, it is likely that docker commands do nothave access to $TMPDIR. This may break some kind commands which dependon using temp directories (kind build ..).

Currently a workaround for this is setting the TEMPDIR environment variable toa directory snap does have access to when working with kind.This can for example be some directory under $HOME.

Failing to apply overlay network ๐Ÿ”—๏ธŽ

There are two known causes for problems while applying the overlay networkwhile building a kind cluster:

  • Host machine is behind a proxy
  • Usage of Docker version 18.09

If you see something like the following error message:

or the following, when setting the loglevel flag to debug,

The issue may be due to your host machine being behind a proxy, such as inkind#136.We are currently looking into ways of mitigating this issue by preloading CNIartifacts, see kind#200.Another possible solution is to enable kind nodes to use a proxy whendownloading images, see kind#270.

The last known case for this issue comes from the host machineusing Docker 18.09 in kind#136.In this case, a known solution is to upgrade to any Docker version greater than orequal to Docker 18.09.1.

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Failure to build node image ๐Ÿ”—๏ธŽ

Building kind's node image may fail due to running out of memory on Docker for Mac or Docker for Windows.See kind#229.

If you see something like this:

Then you may try increasing the resource limits for the Docker engine on Mac or Windows.

It is recommended that you allocate at least 8GB of RAM to build Kubernetes.

Open the Preferences menu.

Go to the Advanced settings page, and change the settings there, seechanging Docker's resource limits.

Failing to properly start cluster ๐Ÿ”—๏ธŽ

This issue is similar to afailure while building the node image.If the cluster creation process was successful but you are unable to see anyKubernetes resources running, for example:

or kubectl being unable to connect to the cluster,

Then as in kind#156, you may solve this issue by claiming back somespace on your machine by removing unused data or images left by the Dockerengine by running:

And / or:

You can verify the issue by exporting the logs (kind export logs) and lookingat the kubelet logs, which may have something like the following:

If on the other hand you are running kind on a btrfs partition and your logsshow something like the following:

This problem seems to be related to a bug in Docker.

Pod errors due to โ€œtoo many open filesโ€ ๐Ÿ”—๏ธŽ

This may be caused by running out of inotify resources. Resource limits are defined by fs.inotify.max_user_watches and fs.inotify.max_user_instances system variables. For example, in Ubuntu these default to 8192 and 128 respectively, which is not enough to create a cluster with many nodes.

To increase these limits temporarily run the following commands on the host:

To make the changes persistent, edit the file /etc/sysctl.conf and add these lines:

Docker permission denied ๐Ÿ”—๏ธŽ

When using kind, we assume that the user you are executing kind as has permission to use docker.If you initially ran Docker CLI commands using sudo, you may see the following error, which indicates that your ~/.docker/ directory was created with incorrect permissions due to the sudo commands.

To fix this problem, either follow the docker's docs manage docker as a non root user,or try to use sudo before your commands (if you get command not found please check this comment about sudo with kind).

Windows Containers ๐Ÿ”—๏ธŽ

Docker Desktop for Windows supports running both Linux (the default) and Windows Docker containers.

kind for Windows requires Linux containers. To switch between Linux and Windows containers see this page.

Windows containers are not like Linux containers and do not support running docker in docker and therefore cannot support kind.

Non-AMD64 Architectures ๐Ÿ”—๏ธŽ

KIND does not currently ship pre-built images for non-amd64 architectures.In the future we may, but currently demand has been low and the cost to buildhas been high.

To use kind on other architectures, you need to first build a base imageand then build a node image.

Run images/base/build.sh and then taking note of the built image name use kind build node-image --base-image=kindest/base:tag-i-built.

There are more details about how to do this in the Quick Start guide.

Unable to pull images ๐Ÿ”—๏ธŽ

When using named KIND instances you may sometimes see your images failing to pull correctly on pods. This will usually manifest itself with the following output when doing a kubectl describe pod my-pod

If this image has been loaded onto your kind cluster using the command kind load docker-image my-custom-image then you have likely not provided the name parameter.

Re-run the command this time adding the --name my-cluster-name param:

kind load docker-image my-custom-image --name my-cluster-name

Chrome OS ๐Ÿ”—๏ธŽ

Kubernetes does not work in the Chrome OS Linux sandbox.

Please see the upstream issue https://bugs.chromium.org/p/chromium/issues/detail?id=878034

For previous discussion see: https://github.com/kubernetes-sigs/kind/issues/763

AppArmor ๐Ÿ”—๏ธŽ

If your host has AppArmor enabled you may run into moby/moby/issues/7512.

You will likely need to disable apparmor on your host or at least any profile(s)related to applications you are trying to run in KIND.

See Previous Discussion: kind#1179

IPv6 Port Forwarding ๐Ÿ”—๏ธŽ

Docker assumes that all the IPv6 addresses should be reachable, hence doesn't implementport mapping using NAT moby#17666.

You will likely need to use Kubernetes services like NodePort or LoadBalancer to accessyour workloads inside the cluster via the nodes IPv6 addresses.

See Previous Discussion: kind#1326

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