Docker For Mac Pki (missing)

Note: This procedure won’t work on Docker for Mac or Docker for Windows. From a terminal on your Docker host, run the following docker run commands. The strings at the end are the IDs of each container.

Docker on Linux runs a separate userland on the same main kernel. Docker on Mac has to run a separate kernel using virtualization. The virtualization coming with Docker for Mac is not optimized (yet?). You can use Virtual Box, VM Ware or Parallels as an alternative (although the last two cost some money).

All of them integrate well with Docker machine. I am using Docker with Parallels. It's running really fast for my use cases, with no issues reading disc IO and network IO. But you should benchmark your workload, before buying anything.

I'm afraid I haven't been able to get my point across. Docker for Mac (after some optimization) is probably usable. VM Ware, VirtualBox etc.

All do a pretty good job nowadays. Docker (on Linux) is different because it uses container-virtualization. This isn't really a new concept (greetings to the freeBSD people). Docker just made it user-friendly and created an ecosystem around it. My point is, that Docker is built around the idea of using containers.

Docker on Mac can't use containers. It might still have it's use cases since you're still able to use the Docker ecosystem, but as long as it has to use this additional layer, it is really more like all the other virtualization solutions out there and not like Docker.

If you are experiencing a faster execution than on bare metal, that's some interesting anecdotal evidence. But usually there is a performance loss when running your program inside a virtual environment. It's like I'm saying a car is faster than a bicycle and you're saying that a bike can be faster than a car under certain conditions and that any place you're going to is close by so it doesn't make a difference anyways.

You're not wrong. We're just talking about different things.

In most productive scenarios you will be running containers inside a VM. Just think of AWS. The key is running multiple containers in the same VM. Usually the penalty you pay for the VM is a few percent performance (low single digit number). Download edge for mac os. This it's easily offset by other factories: RAM, disc IO, latency, cache usage, available CPU cores, etc. Some hypervisors provide RAM compression (instead of swapping) and duplication. Linux usually doesn't provide this.

This can lead to more available RAM and less swapping inside the VM, leading to faster response times or more parallel sessions. Our in other words: more performance. You could do the same with a specially patched kernel. This it's only one example, where VM features can lead to better KPIs regarding things usually attributed as 'performance'.

In most productive scenarios you will be running containers inside a VM. Just think of AWS. The key is running multiple containers in the same VM. In a huge environment like this. But that's not really a usecase for 'Docker on Mac' Some hypervisors provide RAM compression (instead of swapping) and duplication. Linux usually doesn't provide this. Again: I'm not trying to say that you should avoid virtualization or even that the loss in performance is particularly relevant for some local test environment running on a laptop.