Results for tag "docker"

Codenvy setup to demo applications using Docker: Java EE 7 with Angular

posted by Roberto Cortez on

Development tools have been evolving over the last few years. Github revolutionized the way we share and contribute code between projects. Docker made distributions of applications much easier by allowing you to provide an environment for your application to run. Both these technologies simplified the distributions of your applications, but there is still a pain point. Developers that want to tap into your source, edit and build it still have a hard time to set up all the tools. I believe that Codenvy might be the tool to fill this gap.

CodenvyWhat is Codenvy? Codenvy is an IDE in the cloud. You can use it to view, edit, build and deploy code. All of this with just a browser. Codenvy integrates closely with Github and Docker and here is when things become interesting. This allows you to set up an environment that you can share with anyone. Why is this interesting? I already had a few readers asking me for help to set up their environments because they struggle to do it themselves. Several combinations of IDE’s and Operating Systems make the task difficult. Maybe there is another way.

My application about Java EE 7 and Angular is probably the most popular I have. I’ve decided to provide it in Codenvy to hopefully make it easier for all of you that want to try the application out.

Setup

After you signed up for Codenvy, you can easily create a new project by pointing your working sources to a git repository. In this case we are going to use, of course the Java EE 7 with Angular Github repository. You might need to specify to Codenvy that this is a Maven project. If everything was setup properly, you should get something similar to this:

Codenvy - JavaEE 7 Angular Project

In the IDE window, you can browse the code with syntax highlighting and basic code completion. You can also build the project with maven, if you use the Build menu.

Runners

Checking the code is nice, but we are more interested in actually running the code. Codenvy uses a preset of Docker containers to cover a large number of application servers and environments. There can be found in the Runners tab. Unfortunately, there is no Runner provided for Wildfly and the Glassfish one, doesn’t come with the required database. I’ve ended up by writing my own Docker container to provide a custom made Runner for the Java EE 7 Angular sample application. Here are the Dockerfiles:

Codenvy Wildfly Dockerfile

This Dockerfile is just to set up the environment needed to run the application. Add Java and Wildfly to the base Codenvy container.

Codenvy JavaEE 7 Angular Application Dockerfile

This Dockerfile is to map the source code available in Codenvy to a folder in the Docker container. In this way, we can then deploy the code to an application server.

Don’t bother too much about this. Codenvy will import into the project the Dockerfiles that are stored at the project structure in .codenvy/runners/environments/[NAME]. Since I added my runner to the project sources, this will be imported automatically.

Run the Application

To run the application, just press the Play button in the top right corner. You should see the log of the container starting up and also an url at the bottom. This url is the one you need to use to access the application.

Codenvy - JavaEE 7 Angular Runner

And that’s it! You can now play with the application! You even have a Terminal at your disposal.

Sharing the environment

It was easy to set up the environment here, but wouldn’t it be cool if we could just share it with other people? You could do that by using Factories. Just import your Codenvy project into a Factory and you have available an url to share, which will set up everything for you. So, to access the Java EE 7 Angular application, please use:

https://codenvy.com/f?id=ybnr6nsyrimeoyhg

A few problems

Unfortunately, I’ve also encountered a few problems when I was setting up the environment.

  • The code does not get updated in the mapped folder of the running container. If you make changes to the code, you need to restart the container. Even if they are just HTML or Javascript changes for instance.
  • In Safari the Runner buttons are not visible, but they are clickable.
  • In Firefox I couldn’t type a dash or other special characters in the terminal.
  • Terminal sometimes is not visible.

The code not updating is a real pain. Other things are minors. I hope that this could be fixed soon.

Conclusion

Codenvy is a very impressive tool, if we take into account that we are talking about a cloud browser base IDE. I don’t think that Codenvy is going to replace conventional IDE’s. Although it’s a great alternative to distribute your applications and give the chance for other developers to try them out with minimal effort. Again, here is the link for the JavaEE 7 with Angular application:

https://codenvy.com/f?id=ybnr6nsyrimeoyhg

Check the related posts:

Java EE 7 with Angular JS – Part 1
Java EE 7 with Angular JS – CRUD, REST, Validations – Part 2

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Distribute your applications with Docker Images

posted by Roberto Cortez on

Works on my MachineSince I started this blog, I had the need to develop a couple of sample applications to showcase some of the topics I have been covering. Usually, some kind of Java EE application that needs to be deployed in a Java EE container. Even by providing instructions on how to setup the environment, it can be tricky for a newcomer. A few of my readers don’t have a Java EE container available in their local machine. Some don’t even have Java Development Kit installed. If I could provide the entire environment set up for you and you only need to execute it somehow, wouldn’t that be great? I do think so! Instead of distributing only the application, also distribute the environment needed for the application to run. We can do that using Docker.

A couple of weeks ago, I wrote the post Get into Docker. Now, this post is going to continue to explore one of the most interesting Docker features: the Docker Images. This is the answer to provide my reader with a complete environment with everything ready to run.

Docker Image

A Docker Image is a read only template used to create the Docker containers. Each image is built with a series of layers composing your final image. If you need to distribute something using Ubuntu and Apache, you start with a base Ubuntu image and add Apache on top.

Create a Docker Image file

I’m going to use one my latest application, the World of Warcraft Auction House, to show how we can package it into a Docker Image and distribute it to others. The easiest way is to create a Dockerfile. This is a simple plain text file that contains a set of instructions that tells Docker how to build our image. The instructions that you can use are well defined and straightforward. Check the Dockerfile reference page for a list of possible instructions. Each instruction adds a new layer to your Docker Images. Usually the Dockerfile is named Dockerfile. Place it in a directory of your choice.

Base Image

Every Dockerfile needs to start with a FROM instruction. We need to start from somewhere, so this indicates the base image that we are going to use to build our environment. If you were building a Virtual Machine you also had to start from somewhere, and you have to start by picking up the Operating System that you are going to use. With the Dockerfile it’s no different. Let’s add the following to the Dockerfile:

FROM debian:latest

Our base image will be the latest version of Debian, available here: Docker Hub Debian Repo.

Add what you need

The idea here is to build an environment that checkouts the code, build and execute the World of Warcraft Auction House sample. Can you figure out what you need? The JDK of course, to compile and run and Maven to perform the build. But these are not enough. You also need the Git command line client to checkout the code. For this part you need to know a little bit about Unix shell scripting.

Since we need to install the JDK and Maven, we need to download them into our image from somewhere. You can use the wget command to do it. But wget is not available in our base Debian image so we need to install it first. To run shell commands we use the RUN instruction in the Dockerfile.

Install wget:

Install the JDK:

Install Maven:

We also need to have Java and Maven accessible from anywhere in our image. As you would do to your local machine when setting the environment, you need to set JAVA_HOME and add Maven binary to the PATH. You can do this by using Docker ENV instruction.

Add the application

Now that we have the required environment for the World of Warcraft Auction House, we just need to clone the code and build it:

We also want to expose a port, so you can access the application. You should use the listening http port of the application server. In this case, it’s 8080. You can do this in Docker with the EXPOSE instruction:

I had to use a little trick here. I don’t want to download and install the application server, so I’m using the embedded Wildfly version of the Maven plugin. Now, as I told you before, each instruction of the Dockerfile adds a new layer to the image. In here I’m forcing a start and stop of the server, just for Maven to download the required dependencies and have them available in the image. If I didn’t do this, whenever I wanted to run the image, I would have to download all the server dependencies and the startup of the image would take considerably longer.

Run the application

The final instruction should be a CMD to set the command to be executed when running the image:

In this case we want to make sure we are using the latest code, so we do a git pull and then run the embedded Wildfly server. The deploy configuration has been already set up in Wildfly Maven plugin.

Complete Dockerfile

Build the Dockerfile

To be able to distribute your image, you need to build your Dockerfile. What this is going to do, is to read every instruction, execute it and add a layer to your Docker Images. You only need to do this once, unless you change your Dockerfile. The CMD instruction is not executed in the build, since it’s only used when you are actually running the image and executing the container.

To build the Dockerfile, I use the following command in the directory containing your Dockerfile:

docker build -t radcortez/wow-auctions .

The -t radcortez/wow-auctions is to tag and name the image I’m building. You should use the format user/name. You should use the same user name that you register with Docker Hub.

Pushing the Image

Docker Hub is a Docker Image repository. It’s the same concept of Maven repositories for Java libraries. Download or upload images and you are good to go. The Docker Hub already contains a huge number of images ready to use, from simple Unix distributions, to full blown application servers.

We can now pick the image we build locally and upload it to Docker Hub. This will allow anyone to download and use this image. We can do it like this:

docker push radcortez/wow-auctions

Depending on the image size, this can take a few minutes.

Run the Image

Finally to run the image and the container we execute:

docker run -it --name wow-auctions -p 8080:8080 radcortez/wow-auctions

Since I’ve built the image locally first, this will run the CMDradcortez/wow-auctions. Just by using the above command, the image is going to be downloaded and executed in your environment.

Conclusion

With Docker, is possible to distribute your own applications and have the required environment for the application to run properly created by you. It’s not exactly trivial, since you need some knowledge of Unix, but it’s shouldn’t be a problem.

My main motivation to use Docker here, was to simplify the distribution of my sample applications. It’s not unusual to receive a few reader emails asking for help to set up their environment. Sure, in this way you now have to install Docker too, but that’s the only thing you need. The rest, just leave it to me now!

Related Articles

Remember to check my introductory post about Docker:

Get Into Docker

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Get into Docker

posted by Roberto Cortez on

Works on my MachineHave you ever heard about Docker before? Most likely. If not, don’t worry, I’ll try to summarize it for you. Docker is probably one of the hottest technologies at the moment. It has the potential to revolutionize the way we build, deploy and distribute applications. At the same time, it’s already having a huge impact in the development process.

In some cases, the development environments can be so much complicated, that it’s hard to keep the consistency between the different team members. I’m pretty sure that most of us already suffered from the syndrome “Works on my Machine”, right? One way to deal with the problem is to build Virtual Machines (VM) with everything set up so you can distribute them through your team. But VM’s are slow, large and you cannot access them if they are not running.

What is Docker?

Docker LogoShort answer: it’s like a lightweight VM. In practice, it’s not the case, since Docker is different from a regular VM. Docker creates a container for your application, packaged with all of the required dependencies and ready to run. These containers run on a shared Linux kernel, but they are isolated from each other. This means that you don’t need the usual VM operating system, giving a considerable performance boost and shrinking the application size.

Let’s dig a little more into detail:

Docker Image

A Docker Image is a read only template used to create the Docker containers. Each image is built with a series of layers composing your final image. If you need to distribute something using Ubuntu and Apache, you start with a base Ubuntu image and add Apache on top. If you later want to upgrade to a Tomcat instance, you just add another layer to your image. Instead of distributing the entire image as you would with a VM, you just release the update.

Docker Registry

The Docker registry also called Docker Hub is a Docker Image repository. It’s the same concept of Maven repositories for Java libraries. Download or upload images and you are good to go. The Docker Hub already contains a huge number of images ready to use, from simple Unix distributions, to full blown application servers.

Docker Container

A Docker Container is the runtime component of the Docker Image. You can spin multiple containers from the same Docker Image in an isolated context. Docker containers can be run, started, stopped, moved, and deleted.

How do I start?

You need to install Docker of course. Please refer to the installation guides of Docker. They are pretty good and I had no problem installing the software. Make sure you follow the proper guide to your system.

Our first Docker Container

After having Docker installed, you can immediately type in your command line:

docker run -it -p 8080:8080 tomcat

You should see the following message:

Unable to find image ‘tomcat:latest’ locally

And a lot of downloads starting. Like Maven, when you build an application, it downloads the required libraries to run Tomcat, by reaching out to Docker Hub. It takes a while to download. (Great, one more thing to download the Internet. Luckily we can use ZipRebel, to download it quickly).

After everything is downloaded, you should see the Tomcat instance booting up, and you can access it by going to http://localhost:8080 in Linux boxes. For Windows and Mac users is slightly more complicated. Since Docker only works in a Linux environment, to be able to use it in Windows and Mac you need boot2docker (which you should have from the installation guide). This is in fact a VM that runs Docker on Linux completely from memory. To access the Docker containers you need to refer to this VM IP. You can get the IP with the command: boot2docker ip.

Explaining the command:

docker runThe command to create and start a new Docker container.
-itTo run in interactive mode, so you can see the after running the container.
-p 8080:8080This is to map the internal container port to the outside host, usually your machine. Port mapping information can only be set on the container creation. If you don’t specify it, you need to check which port Docker assigned
tomcatName of the image to run. This is linked to the Docker tomcat repository. This holds the instructions, so Docker knows how to run the server.

Remember that if you stop and run again the same command, you are creating and running a new container.

Multiple Containers

You can run multiple Tomcat instances by issuing the following commands:

docker run -d -p 8080:8080 --name tomcat tomcat
docker run -d -p 9090:8080 --name web tomcat

These create two Tomcat containers named tomcat and web. Just remember to change the port mapping and the name. Adding a name is useful to control the container. If not, Docker will randomly generate one for you.

The -d instructs Docker to run the container in the background. You can now control your container with the following commands:

docker psSee a list of all the running Docker containers. Add -a to see all the containers.
docker stop webStops the container named web.
docker start webStarts the container named web.
docker rm webRemove the container named web.
docker logs webShows the container named web logs.

Connecting to the Container

If you execute the command docker exec -it tomcat bash, you will be able to connect to the container shell and explore the environment. You can for instance, verify the running processes with ps -ax.

Interacting with the Container

Let’s add a file to the container:

echo "radcortez" > radcortez

Exit the container, but keep it running. Execute docker diff web. You are going to see a bunch of files related to the tomcat temporary files, plus the file we just added. This command evaluates the file system differences between the running container and the origin image.

Conclusion

We only scratched the surface of Docker capabilities. It’s still soon to tell if Docker will become a mandatory tool. Currently it’s receiving major adoption from big players like Google, Microsoft or Amazon. Docker may end up failing in the end, but it sure opened up an old discussion which doesn’t have a clear answer yet.

Related Articles

Learn how to create, build and distribute your own Docker Images in this follow up post:

Distribute your applications with Docker Images

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