Skip to main content

Running PowerShell commands in a Dockerfile

As Docker continues to grow we are starting to see the containerization engine more and more on Windows. With the need for containers on Windows, we also need the same automation we get in Linux with Dockerfiles. Today we're going to create a Dockerfile that runs PowerShell cmdlets.

Prerequisites;

1. Docker for Windows
2. A code editor (VSCode preferred)

Let's go ahead and get our Dockerfile set up. Below is the Dockerfile I used for this post.

from mcr.microsoft.com/windows/servercore:1903
MAINTAINER Michael Levan
RUN powershell -Command Install-WindowsFeature -Name Web-Server
RUN powershell -Command New-Item -Type File -Path C:\ -Name config

As you can see from the above, this is a tiny Dockerfile. What this will do is install the IIS Windows 

Feature and create a new file in C:\ called "config".

You should see something very similar to the below screenshot;


Next let's create a running container out of our image. First we'll need to run docker container ls to

 get our image ID. Then we'll create a new container by running docker run -tid containerld

Now let's exec into the container. Let's run docker exec -ti containerid powershell to create a

 session into the container from our terminal. You should see something like the below screenshot.



Let's go ahead and check for IIS by running Get-WindowsFeature -Name Web-Sever to confirm IIS 

successfully installed. 



Now that we know it's installed, let's curl our localhost to confirm IIS is running. Run curl localhost

 --UseBasicParsing and you should see a status 200 return. Status 200 from an API GET method call

 means your server is reachable. We can see in the image section that it's returning the default IIS 

image.



And just like that you have successfully deployed IIS in a Docker image and created a container from

 that Docker image!

Comments

Popular posts from this blog

So, you want to be a Cloud Engineer?

In 2019 one of the biggest pieces of tech is the cloud. Whether it be public cloud or private cloud, cloud technologies are here to stay (for now). I predict that Cloud Engineering will be a very big part of IT (and development) for another 5-10 years. Today I want to share with you my journey in becoming a Cloud Engineer and some helpful tips. A career timeline to be a Cloud Engineer can go like so;

Desktop Support > Junior Sysadmin > Sysadmin > Sysadmin/Technical Lead > Engineer >  Cloud Engineer.

Although our career paths may not align, I believe that this progression is very import. Let me tell you why.



Helpdesk/Desktop Support Helpdesk and desktop support get your feet wet. It allows you to understand technology and how it's used in the workplace from a business perspective. It shows you what technologies may be best in the current environment your in and how to support those technologies. It also teaches you soft skills and how to support people from a technic…

Monitoring your containers in an AKS cluster with Prometheus

Monitoring and alerting is arguably one of the most important thing in Cloud Engineering and DevOps. It's the difference between your clients stack being up and a client being down. Most of us have SLA's to abide by (for good reason). Today we're going to learn how to spin up Prometheus in an AKS cluster to monitor our applications.

Pre-reqs;
1. Intermediate knowledge of Kubernetes
2. An AKS cluster spun up in Azure

Recently AKS supports Prometheus via Helm, so we'll use that for an automated solution to spin this up. This installs kube-prometheus, which is a containerized version of the application. With raw Prometheus, there are a few things that are needed for the operator;

1. Prometheus: Defines a desired deployment.
2. ServiceMonitor: Specifies how groups of services should be monitored
3. Alertmanager: Defines the operator to ensure services and deployments are running by matching the resource

With kube-prometheus, it is all packaged for you. This means configuri…

Spinning up a Kubernetes cluster with Kubeadm

In today's world, we have several public cloud technologies that will ultimately help us with spinning up these infrastructures. This however comes with a price. Because a public cloud provider (like AWS or Azure) handles the API/master server and networking, you'll get something up quick, but miss some key lessons of spinning up a Kubernetes cluster. Today, I'll help you with that.

There are some pre-reqs for this blog:
1. At least 3 VM's. In my case, I'm using my ESXi 6.7 server at home.
2. Basic knowledge/understanding of what Kubernetes is utilized for.
3. Windows, Mac, or Linux desktop. For this blog, I am using Windows 10.

The first thing you want to do is spin up three virtual machines running Ubuntu18.04. You can use a RHEL based system, but the commands I show and run (including the repos I'm using) will be different.

I have already set up my 3 virtual machines. I gave them static IP addresses as I have found API/configuration issues if the VM shuts do…