Docker-compose For Mac

Docker Desktop is an easy-to-install application for your Mac or Windows environment that enables you to start coding and containerizing in minutes. Docker Desktop includes everything you need to build, test and ship containerized applications right from your machine.

Are you a Linux user who switched to Mac when you saw that Docker is now available as a native Mac app? Have you heard how great Docker is and want to give it a? Did you think that you could just take your Docker Compose file, launch your project, and have everything work out for you?

Well you were right. Docker for Mac is a pretty smart invention. It gives you the whole Docker API available from the terminal, even though Docker itself wasn’t created to work on Macs. To make all this possible, a light Alpine Linux image is fired up underneath with xhyve MacOS native virtualization. Because of this, you need to allocate CPU cores and RAM for the VM.

Things won’t be as close to bare metal as they are in Linux. If you are – for example – a Java developer who uses Docker to run compiled JAR, you may even not notice the difference. At least, as long as you don’t try to do any heavy database work.

Docker for Mac and Full Sync on Flush Issue First, let’s look at MacOS: “For applications that require tighter guarantees about the integrity of their data, Mac OS X provides the F_FULLFSYNC fcntl. The F_FULLFSYNC fcntl asks the drive to flush all buffered data to permanent storage. Applications, such as databases, that require a strict ordering of writes should use F_FULLFSYNC to ensure that their data is written in the order they expect.” In short, to keep our data safe, every change made in the database needs to be stored on disk in an exact order.

This will guarantee that during power loss or any unexpected event your data will be safe. Actually, this makes sense — if you decide to setup a database inside Docker for Mac on a production environment In most cases, though, you’ll be using your machine for dev purposes where you don’t care to recreate the database from fixtures. If you have a Macbook, even power loss isn’t a threat.

In this case, you may decide to disable this. While reading about Docker issues on GitHub, I found a solution provided. Things will get a lot faster when you type those few lines into your terminal: $ cd ~/Library/Containers/com.docker.docker/Data/database/ $ git reset --hard HEAD is now at cafabd0 Docker started $ cat com.docker.driver.amd64-linux/disk/full-sync-on-flush true $ echo false > com.docker.driver.amd64-linux/disk/full-sync-on-flush $ git add com.docker.driver.amd64-linux/disk/full-sync-on-flush $ git commit -s -m 'Disable flushing' [master dc32fcc] Disable flushing 1 file changed, 1 insertion(+), 1 deletion(-) Actually, someone even placed to make things easier. Does It Really Work? I created a to check this.

Steam build windows for mac. This test uses a standard Docker MySQL image without tweaks, and an image with sysbench installed. In my test case, I decided to use one thread (I only allocated one core for Docker on my Macbook) and a table with 10,000 rows. I ran it twice: once with flushing enabled (default), and once with flushing disabled.

If you’re skeptical about performance gain after changing just one value from true to false, then let the results below change your mind.

• • > • • > • • > • Using Kubernetes with Docker for Mac If you just awoke from a few months worth of slumber (three months to be exact), this might be a bit of a shocker — Kubernetes? So, yes — last October at DockerCon Europe that future EE versions are going to support Kubernetes integration. This has been somewhat of a big topic for debate in the world of containers and orchestration, and for good reason. Since Docker offers an orchestration tool of its own, Docker Swarm, this move has given rise to article titles such as “Docker give into the inevitable” or “Kubernetes has won”. While one can argue about the unequivocal tone used in these titles, there is little doubt that 2017 was a watershed year for Kubernetes, and in many ways for Docker as well.