Known issues

The Mac Activity Monitor reports that Docker is using twice the amount of memory it's actually using. This is due to a [bug in macOS].( https://docs.google.com/document/d/17ZiQC1Tp9iH320K-uqVLyiJmk4DHJ3c4zgQetJiKYQM/edit?usp=sharing) on this.

Force-ejecting the .dmg after running Docker.app from it can cause the whale icon to become unresponsive, Docker tasks to show as not responding in the Activity Monitor, and for some processes to consume a large amount of CPU resources. Reboot and restart Docker to resolve these issues.

Docker Desktop uses the HyperKit hypervisor ( https://github.com/docker/hyperkit) in macOS 10.10 Yosemite and higher. If you are developing with tools that have conflicts with HyperKit, such as Intel Hardware Accelerated Execution Manager (HAXM), the current workaround is not to run them at the same time. You can pause HyperKit by quitting Docker Desktop temporarily while you work with HAXM. This allows you to continue work with the other tools and prevent HyperKit from interfering.

If you are working with applications like Apache Maven that expect settings for DOCKER_HOST and DOCKER_CERT_PATH environment variables, specify these to connect to Docker instances through Unix sockets. For example:

$ export DOCKER_HOST=unix:///var/run/docker.sock

Some command line tools do not work when Rosetta 2 is not installed.

• The old version 1.x of docker-compose. Use Compose V2 instead - type docker compose.
• The docker-credential-ecr-login credential helper.

Some images do not support the ARM64 architecture. You can add --platform linux/amd64 to run (or build) an Intel image using emulation.

However, attempts to run Intel-based containers on Apple silicon machines under emulation can crash as QEMU sometimes fails to run the container. In addition, filesystem change notification APIs (inotify) do not work under QEMU emulation. Even when the containers do run correctly under emulation, they will be slower and use more memory than the native equivalent.

In summary, running Intel-based containers on Arm-based machines should be regarded as "best effort" only. We recommend running arm64 containers on Apple silicon machines whenever possible, and encouraging container authors to produce arm64, or multi-arch, versions of their containers. This issue should become less common over time, as more and more images are rebuilt supporting multiple architectures.

Users may occasionally experience data drop when a TCP stream is half-closed.