- DOCKER HYPERKIT OS X HOW TO
- DOCKER HYPERKIT OS X FOR MAC
- DOCKER HYPERKIT OS X UPDATE
- DOCKER HYPERKIT OS X FULL
Stuff I have found that makes life easier: The native Docker K8s implementation seems to involve a lot of this kind of sync, so you are more likely to trip over the issue. Similarly, if you can switch your filesystem mounts to :cached then that means there will be fewer notifications being sent back and forth between the Docker VM and OS-X, just less chance of the issue. The fewer file system shares you have, the less likely this is to occur. Things that can cause the infinite loop seem to involve syncing of file system events between OS-X and the docker VM. There is an edge case in the filesystem synchronization code and when triggered it causes the receiver process in the Docker VM to go into an infinite loop and suck all the CPU cycles of one CPU core.Īs of, the leading candidate for this hypothesis is around this line of code: and see this comment: #3499 (comment) Mitigations Your changing settings has not fixed it, only stopped the current CPU spike please wait for the issue to repeat itself. congratulations, you have just restarted Docker. WARNING If you think you have "fixed" this issue by changing the CPU cores in the Docker preferences (up or down) or changing the RAM allocation (up or down). Restarting Docker is a temporary workaround.and then suddenly Docker CPU spikes to 100% and I have not touched it at all. I have had this issue trip while Docker was running with 0 containers. This issue is not related to container workload.The root cause of the issue is reported to be triggered more often when using Docker's k8s provider, so one way to reduce how often you are hit by the issue is to turn off Docker's k8s provider and use k3d instead Here is what we know, because it can get lost in the comments.
DOCKER HYPERKIT OS X UPDATE
I'll update this post with the results :).This is an issue with a lot of comments and rumors of fixes and confusion over what the exact issue underlying this bug is.
DOCKER HYPERKIT OS X FOR MAC
Currently running Docker for Mac 2.1.0.5 planning to upgrade but that will also require to update macOS, perhaps with the latest release has some improvements. There are a few other suggestion that I found on Github which I will try out. Often I'll have to stop & start the containers to get the hyperkit CPU usage to go down. However problems occur when debugging with attached VSCode. Hopefully this prevents the CPU from getting too hot. I've also reduced the number of CPU cores Docker desktop can use (settings->advanced). I'm seeing significant performance improvements we'll have to see if it lasts ?FYI Docker docu on delegated: the container’s view is authoritative (permit delays before updates on the container appear in the host) Using "delegated" option for my source code (app) folder and first impressions are positive. Docker debug mode was set to TRUE I've changed this to FALSE but I have not seen any significant improvements. I've also asked the question on stackoverflow
DOCKER HYPERKIT OS X HOW TO
You can check out this stackoverflow post on Docker volumes for some more info on the subject.Here is some post that I found regarding this issue: Īny other ideas on how to keep the hyperkit process under control❓ I've only switched my source code to using "volume mount" instead of "bind mount" and will do the same for my static files and database and see if that results in improvements. I'm currently switching "bind mounts" to "volume mounts" I think I see some improvements but haven't done enough testing to say anything conclusive. When actively debugging the hyperkit goes wild but it does settle down again afterwards. When using VSCode to debug my Django Python app the hyperkit CPU usage goes to the max again. Hyperkit CPU usage goes down again when the action of pylint is finished.
DOCKER HYPERKIT OS X FULL
When using VSCode on python files I noticed that actions, such as done by pylint, that result in scanning/parsing your file will increase the hyperkit CPU usage to the max and the macBook fans go on full speed :(. When running the Docker containers and attaching Visual Studio Code (VSCode) to the active app container it can make the hyperkit process go crazy :( the macBook fans have to go at full speed to try to keep the temperature down.