At Codavel, we believe that software should be as easy to use as possible. As we are building a new transfer protocol, Bolina, we have been making an effort to ensure that anyone can install it and see how fast it is in less than 30 minutes, irrespectively of the operating system or device they’re using.

• Docker Mac Os Image
• Mac Os In Docker
• Mac Os X Docker

For that, we decided to provide a Docker container to run our server on the three major OS (Linux, MacOS and Windows).

Jun 19, 2018  Any operating systems such as mac OS El Capitan or above are supported by Docker. However, macOS High Sierra resolved majority of the issues encountered from the earlier version of. The Docker Desktop installation includes Docker Engine, Docker CLI client, Docker Compose, Notary, Kubernetes, and Credential Helper. Install and run Docker Desktop on Mac. Double-click Docker.dmg to open the installer, then drag the Docker icon to the Applications folder. Double-click Docker.app in the Applications folder to start Docker.

Network performance on a container

Since Bolina uses both TCP and UDP at its core (more on network protocols here), our first step to ensure that this was feasible was to prove that the network would not be a bottleneck when running the server inside a container. While this proved to be true on Linux, where we could get almost 2Gbits/second of throughput, on Windows and MacOS the results were not that encouraging.

This happened for different reasons on both operating systems: on Windows, the client was not able to generate as much UDP traffic as TCP, while on MacOS, UDP was hugely affected by packet loss.

Max throughput, in Mbits/second

Next, I’ll explain how these values were obtained and guide you through an alternative solution to improve the network throughput to a Docker container.

Setup

To isolate the network benchmark from our product development, I decided to use a well known third-party software to generate TCP and UDP traffic and estimated the network throughput: iperf3. To unify both protocol’s results, I used an MTU of 1400 for the data packets.

Linux

My baseline started with a Linux server running Ubuntu 18.04 on an Intel Core i5-2500 CPU @ 3.30GHz with 8GB of ram, with iperf3 running in server mode inside a container (provided by https://hub.docker.com/r/mlabbe/iperf3), and an iperf3 client ran directly on the host machine.

First, we tested the TCP connection:

TCP

Commands

Server: docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

Client: iperf3 -c 192.168.1.2 -i 1 -t 10 -l 1400

Results

This shows that we are able to communicate at 1.93 Gbits per second through TCP. The next step was to check if we were able to reach the same values through UDP:

UDP (2Gbits/second)

Commands

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.1.2 -i 1 -t 10 -u -b 2Gb --length 1400

Results

The results show that we are able to reach similar values that when using TCP and with no packet loss: perfect! Time to move on to the next OS, Windows.

Windows

The tests on Windows were performed on a laptop with an Intel(R) Core(™) i7-6500U @ 2.50GHz CPU with 8GB RAM, running Windows 10 64-bit home. When trying to install Docker Desktop for Windows, I noticed that this machine did not meet the minimum requirements: only Pro, Enterprise or Education versions of Windows are supported. As an alternative, I had to run the container with my iperf3 server on Docker’s Legacy solution, Docker Toolbox, which uses Oracle Virtual Box instead of Hyper-V.

After completing the installation process, I launched a Docker Quickstart Terminal and started the container. The results were the following:

TCP

Commands

Server: docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

Client: iperf3.exe -c 192.168.99.100 -i 1 -t 10 -l 1400

Results

The results already showed a significant decrease in performance when comparing to Linux’ tests, going from almost 2Gbits/second to around 500Mbits. But since the values were consistent, I decided to continue the tests, this time using UDP. Python ide for mac sierra.

UDP (500Mbits/second)

Docker Mac Os Image

Commands

Server: docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

Client: iperf3.exe -c 192.168.99.100 -i 1 -t 10 -u -b 500Mb -l 1400

Results

I was only able to reach 260Mbits/second through UDP, which is only half of the TCP throughput for the same scenario. However, there was no packet loss, which means that it was the sender that was unable to generate traffic above that threshold, and not a network issue.

MacOS

Finally, we performed the tests on a MacBook Pro with an Intel Core i5 @ 2Ghz and 8GB of ram, running macOS Mojave. For running the server container I installed Docker Desktop for Mac, while the iperf3 client was installed through brew.

Starting with the TCP throughput test:

TCP

Commands

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.1.2 -i 1 -t 10 -l 1400

Results

Although the results are slightly higher than the ones on the Windows machine, they are still considerably lower than the Ubuntu’s results, only reaching the 650Mbits/second.

When trying to reach those rates through UDP, the results were the following:

UDP (700Mbits/second)

Commands

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.13.34 -i 1 -t 10 -u -b 700Mb --length 1400

Results

Comparing with the Windows’ results, the client is now able to generate the amount of UDP traffic configured. However, the results show a huge performance decrease due to high levels of packet loss, that would make any network service unusable. My first guess was that we were overshooting the network capacity so I tried to lower the sending throughput:

UDP (100Mbits/sec)

Commands

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.13.34 -i 1 -t 10 -u -b 100Mb --length 1400

Results

Great, no packet loss. But still, 100Mbits/sec is not acceptable as maximum throughput, so I tried increasing the throughput:

UDP (200Mbits/sec)

Commands

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.13.34 -i 1 -t 10 -u -b 200Mb --length 1400

Results

We can see from the above that anything higher than 100Mbits would result in significant packet loss, which is not nearly good enough if you want to test a network protocol. When trying to understand the issue, and after failing to find similar issues on the internet, I found the following statement on Docker’s documentation:

“Docker Desktop for Mac uses HyperKit instead of Virtual Box. Hyperkit is a lightweight macOS virtualization solution built on top of Hypervisor.framework in macOS 10.10 Yosemite and higher.”

Maybe the problem could be related to the use of HyperKit, since I was using Docker Desktop for Mac, so I decided to repeat the tests on MacOS but this time using VirtualBox to run a Linux VM where I could run my container, and check if the problem persisted. Instead of installing Docker Toolbox as I did for the Windows tests, which is by now Docker’s legacy solution, this time I decided to use Vagrant to run a Linux VM inside VirtualBox, and install docker as I have previously done on my Linux Server.

The Vagrant image used is available here, and it was based on this Ubuntu’s image.

After starting the Vagrant machine and running the iperf3 server inside the container, the results were the following:

TCP

Commands

Mac Os In Docker

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.13.93 -i 1 -t 10 -l 1400

Results

TCP had a much better performance than when using the docker desktop solution, increasing almost 300Mbits/second. Time to check the UDP’s behavior:

UDP (1Gbit/second)

Commands

docker run --name=iperf3 --rm -p 5201:5201/tcp -p 5201:5201/udp mlabbe/iperf3

iperf3 -c 192.168.13.93 -i 1 -t 10 -u -b 1Gb -l 1400

Results

And the UDP results were also much better than before, almost reaching 1Gbit/second of UDP throughput with low levels of packet loss.

Conclusion

The tests above were a first step to understand if the network would be a bottleneck for a service running inside a container, and if it will be possible to run that same container in the different operating systems. While I was able to reach satisfactory values when running container on Linux, running Docker’s suggested solution on MacOS was not nearly good enough regarding performance, as UDP will not go beyond 100Mbits/second without increasing significantly the packet loss.

This problem seems to be related with the use of HyperKit when using Docker Desktop, and that’s why I definitely suggest running your container on a Linux virtual machine running on VirtualBox as a workaround if you really must test your container’s network performance on MacOS. But even with this workaround the maximum network throughput reached on both MacOS and Windows tests are much lower than my results when running on Linux, and that’s why I would recommend using the latter in your test environment.

You can get up and running with Docker for macOS 10.10.2 Yosemite to 10.12.x Sierra by installing the Community Edition Docker for Mac free client (aka Docker CE for Mac).

Docker is gaining more popularity as a development environment, it runs applications in containers ontop of the existing operating system’s hardware which makes it more optimal than traditional Virtual Machine technologies such as VirtualBox which do not – instead these have the overhead of a virtual hardware layer.

For older macOS versions you need to go with the Docker Toolbox app.

The install is a complete Docker development environment and also includes docker apps.

Install Docker from downloading the macOS docker app from the docker store

Once download completes open and install the docker.dmg

That’s the install done, launch Docker by opening the app and you will see a docker icon Menu item at the top of the finder with links to Docker info and tasks.

You can check Docker version, configure your preferences, get updates, quit the app and learn more about Docker via this menu.

Command Line

You can also interact with Docker via the command line.

Check the Docker version installed.

Test Docker can pull a test image

Mac Os X Docker

That’s it – Docker for macOS is now installed and operational.