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Install a VM in a ARM MAC Using UTM (English)

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I wanted to have linux in my mac.

The very first thought was to use either a paid solution like parallel or the old good VirtualBox.

But then, my pal chatGPT, told me about UTM and, I have to say, looks wonderful.

It's easy peasy:

- Go to https://mac.getutm.app/ (OK, maybe the landing could be more impressive. But there is nothing bad in using Free landing page templates!! )

- Click Download and install it as any other mac app, and open it

- Once you have opened UTM, just browse UTM gallery, choose the OS you want to install and that's it.

You have now a new OS system running in your machine. In my case linux 22

Of course you have plenty of configuration options but as I always say: stop procrastinating nerd-tools, do what you wanted to do straight away (and I guess you are not here to be a UTM expert right?)

Thanks UTM maintainers.

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Cover Image for D4D - Exposing the deployment as NodePort and with AWS Load Balancer Controller + Certificate

D4D - Exposing the deployment as NodePort and with AWS Load Balancer Controller + Certificate

In this guide, we explored the various methods to expose a Kubernetes deployment. To enhance our setup, we will integrate the AWS Load Balancer Controller, enabling the management of advanced AWS Load Balancers.

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Cover Image for D4D - Exposing the deployment as a LoadBalancer

D4D - Exposing the deployment as a LoadBalancer

This diagram illustrates the deployment of a Kubernetes application using AWS EC2 instances and the AWS Cloud Controller Manager (CCM). The EC2 instance, labeled as a 'K8S Node,' hosts the hello-world-lb deployment, which is exposed through a Kubernetes service configured as a LoadBalancer type. The AWS CCM interacts with the EC2 instance, enabling it to manage AWS resources like the AWS Classic Load Balancer. Security Groups are configured to allow traffic from the Load Balancer to the K8S service. The integration allows seamless connectivity between the user, AWS Load Balancer, and the Kubernetes pod running within the EC2 instance.

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