Synology and Docker are a great combination, so long as you have purchased the correct platform. Ensure that you're using an Intel chipset if you want take full advantage of Docker functionality.
Additionally, adding additional hardware resources like adding memory is a great way to maximize your Synology Docker host. To find out if your Synology Diskstation has an Intel chipset, look no further than the Synology Wiki.
Below are some useful development tools that you can run with your Synology NAS. Once there, you can search for the Docker application and easily install it onto your system.
The first thing you will want to consider is backend data persistence. Pretty convenient that we're running this whole Docker environment on a NAS, right? You can pick your own, or you can use my examples. The next thing you'll want to do is enable CLI connectivity to your Diskstation if you don't already have this enabled.
My assumption is that if you're interested in Docker, you probably already have this enabled, but if not I'll provide these steps below:. There's no sense in documenting this process much further, but you get the idea.
My main concern is that you're enabling SSH, and using a random high port. For further readingfollowing the instructions at Synology's wiki.
Next, you'll want to create the persistent data directories for Docker to use. I am going to stick with Synology's method as close as possible. Below are some examples that you can use. These are more developer-focused, but you'll get the idea. Ghost is what I'm using to present you with this walk-through. I like it because it's simple and attractive.
It uses a Markdown language that's easy to use. So if I create a blog walk-through, in most cases I can use the same code for my GitHub repositories, like I've done for my Kubelab Examples. Enough with the benefits of Ghost, let's get to the the part where we run it. I recommend doing this so you have one place to store all of your custom Docker configuration data.
This keeps your personalized Docker containers separate from what Synology would include, should you choose to use their default Docker applications like Gitlab or Redmine. I also changed the permissions to which is the user Synology uses for their default Docker data folder mappings. This is something I want to look into further though, especially after reading Alexander Morozov's LK4D4 on Github namespace examplebecause I'd really like to limit running containers in privileged mode, and so should you where possible.
So what I've done is I've told Docker to restart this container always pretty obvioususe a tcp high port which you will want to change yourself and map the data folder we've created to the default Ghost configuration data folder within the container.
The really nice thing about Docker is that the mapped host directory takes priority over what exists in the container as I experienced it. If there is data in that folder like you're previous settings and Ghost Blog than it will prioritize that over the container. This is great for destroying and re-creating the container. GitLab GitLab is an extremely powerful development tool.
I'm not going to say that I like it better than GitHub, but there are some features that I really like about it. One of those features is the ability to map my GitHub repos to my GitLab repo locally, and then running Jenkin's build tests again the repo. I keep telling myself that I'm just a network security guy, and not a developer.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
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I wonder how challenging it would be to install docker on an ARM-based Synology device. Having a GUI isn't really important to me. Already exists a docker version for ARM, working on raspberri pi, Here a tutorialso the problem is not docker cant work in arm architecture.
Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. How far away is Docker for ARM?
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Synology and Docker
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.In this guide we'll get started with Docker on bit ARM, build bit images, benchmark the code and upgrade to the latest version of Docker.
Late to the party, here's my Odroid C2. Raspbian is a port of Debian for the armhf architecture and the default operating system for the Raspberry Pi. Several boards have recently become available which have an ARMv8 or bit architecture.
These boards both have Ubuntu images available so I decided to find out how easy it was to setup Docker and build some test images.
If you have either of these two boards here's a deep link to the image download pages for Ubuntu Odroid-C2 download mirrors. Once you have flashed the Ubuntu Spoiler alert: curl sh installation method is not currently working for ARM bit. Use apt-get. So it seems that the Ubuntu ports repository already contains Docker 1.
Here's a picture of my Pine64 board kindly donated by Uli Middelberg a follower on Twitter. Limited edition Pine64 developer-board. Docker Compose has become such a vital tool for defining and linking services that it is likely to become integrated into the docker CLI going forward.
When using this installation method apt-get you do not get docker-compose bundled in with the engine. So let's install python-pip and pull down the latest version. Use docker-compose ps to find the port where the micro-service is running and then try accessing it with curl. Why don't you install apache bench and see how many requests per second you can get out of the application?
If you have multiple cores then you can scale the application upwards and measure the increase in throughput. For a simple guide to Docker services check out my Swarm Mode series.This blog post is the result of collaboration between Arm and Docker.
Special thanks to Jason Andrews Arm for creating much of the original content.
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Docker has simplified enterprise software development and deployment leading to true multi-platform portability and cost savings on Arm-based cloud instances. Even more exciting is how Docker is changing the way embedded software is being developed and deployed. Traditionally embedded Linux software applications have been created by cross-compiling and copying files to an embedded target board.
Although Windows and Mac support is great, the majority of software developers targeting embedded Linux systems also do their development work on Linux.
The multi-architecture support in Docker also greatly simplifies embedded Linux application development and deployment. If you are doing software development on x86 Linux machines and want to create Docker images that run on Arm servers or Arm embedded and IoT devices, this article will be helpful to understand the process and the different ways to do it.
Installing Docker on Linux takes just a few commands. If you already have an older version of Docker, make sure to uninstall it first. Using buildx requires Docker Add the current user to the docker group to avoid needing sudo to run the docker command:. Make sure to log out and back in again. Now test the install with a quick hello-world run. Use the docker version command to check the running version:. The test version of Docker already has buildx included.
The only thing needed is to set the environment variable to enable experimental command line features. Another way to get buildx is to download a binary release from github and put in the. Because buildx is a new command and documentation is still catching up, github is a good place to read more information about how buildx works.
To confirm buildx is now installed run the help and the version command. Install the qemu instruction emulation to register Arm executables to run on the x86 machine. For best results, the latest qemu image should be used.The main idea here is to make it easy for Docker developers to build their applications for the Arm platform right from their x86 desktops and then deploy them to the cloud including the Arm-based AWS EC2 A1 instancesedge and IoT devices.
Developers will be able to build their containers for Arm just like they do today, without the need for any cross-compilation. Typically, developers would have to build the containers they want to run on the Arm platform on an Arm-based server. With this system, which is the first result of this new partnership, Docker essentially emulates an Arm chip on the PC for building these images. For Docker, this partnership opens up new opportunities, especially in areas where Arm chips are already strong, including edge and IoT scenarios.
Arm, similarly, is interested in strengthening its developer ecosystem by making it easier to develop for its platform. We are seeing compute and the infrastructure sort of transforming itself right now from the old model of centralized compute, general purpose architecture, to a more distributed and more heterogeneous compute system.
Messina noted that the promise of Docker has long been to remove the dependence of applications from the infrastructure on which they run. Adding Arm support simply extends this promise to an additional platform. Those customers are now looking at developing for their edge devices, too, and that often means developing for Arm-based devices. All of the usual Docker commands will just work.This guide assumes you have some basic familiarity with Docker and the Docker Command Line. It describes some of the many ways Node-RED can be run under Docker and has support for multiple architectures amd64, arm32v6, arm32v7, arm64v8 and sx.
As of Node-RED 1. Previous 0. The advantage of doing this is that by giving it a name mynodered we can manipulate it more easily, and by fixing the host port we know we are on familiar ground. Of course this does mean we can only run one instance at a time… but one step at a time folks.Getting Started With Synology
If we are happy with what we see, we can detach the terminal with Ctrl-p Ctrl-q - the container will keep running in the background. Using Alpine Linux reduces the built image size, but removes standard dependencies that are required for native module compilation.
If you want to add dependencies with native dependencies, extend the Node-RED image with the missing packages on running containers or build new images see docker-custom.
For example: suppose you are running on a Raspberry PI 3B, which has arm32v7 as architecture. Then just run the following command to pull the image tagged by 1. The same command can be used for running on an amd64 system, since Docker discovers it is running on a amd64 host and pulls the image with the matching tag 1. For these devices you currently need to specify the full image tag, for example:.
Once you have Node-RED running with Docker, we need to ensure any added nodes or flows are not lost if the container is destroyed. This user data can be persisted by mounting a data directory to a volume outside the container. This can either be done using a bind mount or a named data volume. To save your Node-RED user directory inside the container to a host directory outside the container, you can use the command below. Note : Users migrating from version 0.
As of 1. See the wiki for detailed information on permissions. Docker also supports using named data volumes to store persistent or shared data outside the container.Supported architectures : more info amd64arm32v6arm32v7arm64v8ippc64lesx. The nginx project started with a strong focus on high concurrency, high performance and low memory usage.
It also has a proof of concept port for Microsoft Windows. Alternatively, a simple Dockerfile can be used to generate a new image that includes the necessary content which is a much cleaner solution than the bind mount above :. Place this file in the same directory as your directory of content "static-html-directory"run docker build -t some-content-nginx. For information on the syntax of the nginx configuration files, see the official documentation specifically the Beginner's Guide.
If you wish to adapt the default configuration, use something like the following to copy it from a running nginx container:. If you add a custom CMD in the Dockerfile, be sure to include -g daemon off; in the CMD in order for nginx to stay in the foreground, so that Docker can track the process properly otherwise your container will stop immediately after starting! Out-of-the-box, nginx doesn't support environment variables inside most configuration blocks.
But envsubst may be used as a workaround if you need to generate your nginx configuration dynamically before nginx starts. To run nginx in read-only mode, you will need to mount a Docker volume to every location where nginx writes information. This can be easily accomplished by running nginx as follows:.
If you have a more advanced configuration that requires nginx to write to other locations, simply add more volume mounts to those locations. Images since version 1.
It can be used with simple CMD substitution:. Since 1. Amplify is a free monitoring tool that can be used to monitor microservice architectures based on nginx.
Amplify is developed and maintained by the company behind the nginx software. With Amplify it is possible to collect and aggregate metrics across containers, and present a coherent set of visualizations of the key performance data, such as active connections or requests per second.
It is also easy to quickly check for any performance degradations, traffic anomalies, and get a deeper insight into the nginx configuration in general. In order to use Amplify, a small Python-based agent software Amplify Agent should be installed inside the container. For more information about Amplify, please check the official documentation here.
This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container mount your source code and start the container to start your appas well as the base to build other images off of.